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Madhur Singhal

ResearcherPublications, citations & collaboration network

Madhur Singhal is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 7 works, 157 citations, an h-index of 3 and an i10-index of 2.

7
Works
157
Citations
3
h-index
2
i10-index

How has Madhur Singhal's publication output changed over time?

ScholarIQpublication output · 2015–2025

Output grew0% over the shown period — from 1 works in 2015 to 1 in 2025.

1
1
1
2
1
1
201520172021202220232025

What are the most-cited papers on Madhur Singhal?

ScholarIQmost cited works
Bile Salt Stabilized Vesicles (Bilosomes): A Novel Nano-Pharmaceutical Design for Oral Delivery of Proteins and Peptides
Javed Ahmad, Madhur Singhal, Saima Amin, Md. Rizwanullah, Sohail Akhter, Mohammad Amjad Kamal, Nafis Haider, Patrick Midoux, Chantal Pichon
S55674637. 201788 Citations
Solid Matrix Based Lipidic Nanoparticles in Oral Cancer Chemotherapy: Applications and Pharmacokinetics
Javed Ahmad, Saima Amin, Mahfoozur Rahman, Rehan Abdur Rub, Madhur Singhal, Mohammad Zaki Ahmad, Ziyaur Rahman, Richard T. Addo, Farhan Jalees Ahmad, Gohar Mushtaq, Mohammad Amjad Kamal, Sohail Akhter
S195680726. 201563 Citations
An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images
Aakanksha Sharaff, Madhur Singhal, Arham Chouradiya, Pavan Gupta
International Journal of Biometrics. 20234 Citations
VizAI : Selecting Accurate Visualizations of Numerical Data
Ritvik Vij, R. Tharun Raj, Madhur Singhal, Manish Tanwar, Srikanta Bedathur
20222 Citations
An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images
Aakanksha Sharaff, Arham Chouradiya, Madhur Singhal, Pavan Gupta
International Journal of Biometrics. 20220 Citations

Related on ScholarIQ

Chandigarh University
Institution
Bile Salt Stabilized Vesicles (Bilosomes): A Novel Nano-Pharmaceutical Design for Oral Delivery of Proteins and Peptides
Paper
Solid Matrix Based Lipidic Nanoparticles in Oral Cancer Chemotherapy: Applications and Pharmacokinetics
Paper
An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images
Paper
VizAI : Selecting Accurate Visualizations of Numerical Data
Paper
An empirical analysis of deep ensemble approach on COVID-19 and tuberculosis X-ray images
Paper
470M+ articles · free account