Mohammad Husain

85 papers receiving 2.5k citations

Peers

Mohammad Husain
Comparison fields: 5 of 132
  • Nephrology 566
  • Virology 343
  • Infectious Diseases 635
  • Epidemiology 438
  • Emergency Medicine 112
Replace Debashis Mitra with:
Debashis Mitra India
Eugene Eisenberg United States
Jussi Saukkonen United States
Denis Beauchamp Canada
Mariarosaria Boccellino Italy
Claude Lambert France
Carole Elbim France
Robert S. Jansen Netherlands
Mohammad Husain relative to Debashis Mitra India Debashis Mitra's profile →
Citations per field
00.5×4.4×
Debashis Mitra · 1×
Citations per year

Countries citing papers authored by Mohammad Husain

Since Specialization
Citations

This map shows the geographic impact of Mohammad Husain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Husain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Husain more than expected).

Fields of papers citing papers by Mohammad Husain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Husain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Husain. The network helps show where Mohammad Husain may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Husain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Husain Line = papers co-authored together Mohammad Husain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006363
2 2004133
3 2002126
4 2004115
5 2018111
6 201985
7 202082
8 200580
9 200678
10 200675
11 202071
12 201666
13 201559
14 200358
15 202147
16 200946
17 200840
18 201840
19 202132
20 199630

About Mohammad Husain

Mohammad Husain is a scholar working on Molecular Biology, Nephrology, Virology, Infectious Diseases and Immunology, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (20 papers), HIV Research and Treatment (19 papers), HIV/AIDS drug development and treatment (10 papers), Chronic Kidney Disease and Diabetes (6 papers), HIV/AIDS Research and Interventions (6 papers), Genetic and Kidney Cyst Diseases (5 papers), Pregnancy and preeclampsia studies (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Nephrology (566 citations), Virology (343 citations), Infectious Diseases (635 citations), Epidemiology (438 citations) and Emergency Medicine (112 citations). Mohammad Husain has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Paul E. Klotman, Mary E. Klotman, John Cijiang He, Masaaki Sunamoto, Vivette D. D’Agati, Pravin C. Singhal, Ravi Iyengar, Ajaz Ahmad Ganai, Ashwani Malhotra and Rayees Ahmad Padder. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of Leukocyte Biology, Journal of the American Society of Nephrology, Experimental and Molecular Pathology and Archives of Virology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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