ScholarIQanswers from OpenAlex
Memorial Hospital of South Bend
InstitutionResearch output, impact & collaborations
Memorial Hospital of South Bend is a institution indexed in ScholarIQ from OpenAlex.
What is known about Memorial Hospital of South Bend?
ScholarIQrecord summary
Memorial Hospital of South Bend is a research organisation in South Bend, US. OpenAlex records 10,236 works and 610,478 citations for it. 2,428 researchers list it as their most recent affiliation.
How many works does Memorial Hospital of South Bend have?
ScholarIQindexed works
Memorial Hospital of South Bend has 10,236 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Memorial Hospital of South Bend have?
ScholarIQcitation count
Memorial Hospital of South Bend has 610,478 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at Memorial Hospital of South Bend?
ScholarIQresearcher count
Memorial Hospital of South Bend has 2,428 researchers in the ScholarIQ index.
What is the average h-index at Memorial Hospital of South Bend?
ScholarIQavg h-index
Memorial Hospital of South Bend has an average h-index of 56 in OpenAlex.
What is the ROR of Memorial Hospital of South Bend?
ScholarIQror
The ROR for Memorial Hospital of South Bend is on the source record.
What is the OpenAlex record for Memorial Hospital of South Bend?
ScholarIQopenalex
The OpenAlex for Memorial Hospital of South Bend is on the source record.
What is the Wikidata of Memorial Hospital of South Bend?
ScholarIQwikidata
The Wikidata for Memorial Hospital of South Bend is on the source record.
Who are the most-cited researchers behind Memorial Hospital of South Bend?
ScholarIQtop researchers by citations
What are the most-cited papers on Memorial Hospital of South Bend?
ScholarIQmost cited works
GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer
Australian Cancer Study, Paul D.P. Pharoah, Australian Ovarian Cancer Study Group, Ya-Yu Tsai, Susan J. Ramus, Catherine M. Phelan, Ellen L. Goode, Kate Lawrenson, Melissa A. Buckley, Brooke L. Fridley, Jonathan P. Tyrer, Howard C. Shen, Rachel Palmieri Weber, Rod Karevan, Melissa C. Larson, Honglin Song, Daniel C. Tessier, François Bacot, Daniel Vincent, Julie M. Cunningham, Joe Dennis, Ed Dicks, Katja K.H. Aben, Hoda Anton‐Culver, Natalia Antonenkova, Sebastian M. Armasu, Laura Baglietto, Elisa V. Bandera, Matthias W. Beckmann, Michael J. Birrer, Greg Bloom, Natalia Bogdanova, James D. Brenton, Louise A. Brinton, Angela Brooks‐Wilson, Robert Brown, Ralf Bützow, Ian Campbell, Michael E. Carney, Renato S. Carvalho, Jenny Chang‐Claude, Y Anne Chen, Zhihua Chen, Wong‐Ho Chow, Mine Cicek, Gerhard A. Coetzee, Linda S. Cook, Daniel W. Cramer, Cezary Cybulski, Agnieszka Dansonka‐Mieszkowska, Evelyn Despierre, Jennifer A. Doherty, Thilo Dörk, Andreas du Bois, Matthias Dürst, Diana Eccles, Robert P. Edwards, Arif B. Ekici, Peter A. Fasching, David Fenstermacher, James M. Flanagan, Yu-Tang Gao, Montserrat García‐Closas, Aleksandra Gentry‐Maharaj, Graham G. Giles, Anxhela Gjyshi, Martin Gore, Jacek Gronwald, Qi Guo, Mari K. Halle, Philipp Harter, Alexander Hein, Florian Heitz, Peter Hillemanns, Maureen E. Hoatlin, Estrid Høgdall, Claus Høgdall, Satoyo Hosono, Anna Jakubowska, Allan Jensen, Kimberly R. Kalli, Beth Y. Karlan, Linda E. Kelemen, Lambertus A. Kiemeney, Susanne K. Kjær, Gottfried E. Konecny, Camilla Krakstad, Jolanta Kupryjańczyk, Diether Lambrechts, Sandrina Lambrechts, Nhu D. Le, Nathan Lee, Janet Lee, Arto Leminen, Boon Kiong Lim, Jolanta Lissowska, Jan Lubiński, Lene Lundvall, Galina Lurie, Leon F.A.G. Massuger
PPR-Meta: a tool for identifying phages and plasmids from metagenomic fragments using deep learning
Zhencheng Fang, Jie Tan, Shu‐Fang Vivienne Wu, Mo Li, Congmin Xu, Zhongjie Xie, Huaiqiu Zhu
Health literacy, self-efficacy, and self-care behaviors in patients with type 2 diabetes mellitus
Walton Jorlang Bohanny, Shu‐Fang Vivienne Wu, Chieh‐Yu Liu, Shu‐Hui Yeh, Shiow‐Luan Tsay, Tsae‐Jyy Wang
Host and infectivity prediction of Wuhan 2019 novel coronavirus using deep learning algorithm
Qian Guo, Mo Li, Chunhui Wang, Peihong Wang, Zhencheng Fang, Jie Tan, Shu‐Fang Vivienne Wu, Yonghong Xiao, Huaiqiu Zhu
Complement factor H genotypes impact risk of age-related macular degeneration by interaction with oxidized phospholipids
Peter X. Shaw, Li Zhang, Ming Zhang, Hongjun Du, Ling Zhao, Clara Lee, Seanna Grob, Sharon Lim, Guy Hughes, Janet Lee, Matthew Bedell, Mark Nelson, Fang Lü, Martin Krupa, Jing Luo, Hong Ouyang, Zhidan Tu, Zhiguang Su, Jin Zhu, Xinran Wei, Zishan Feng, Yaou Duan, Zhenglin Yang, Henry Ferreyra, Dirk-Uwe Bartsch, Igor Kozak, Liangfang Zhang, Feng Lin, Hui Sun, Feng Hong, Kang Zhang
How much of the research on Memorial Hospital of South Bend is open access?
ScholarIQopen access share
50%OPEN ACCESS