Anil Kaul
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Hepatology top 10%
Papers in
- Epidemiology 10
- Urinary Tract Infections Management 3
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- Reproductive System and Pregnancy 6
- Immune Response and Inflammation 2
- Complement system in diseases 2
- Co-authors
- Rashmi Kaul (13 shared papers)Mamta Kalra (4 shared papers)B. Nowicki (9 shared papers)Senait Assefa (3 shared papers)Jary S. Mayes (1 shared paper)Manubai Nagamani (4 shared papers)Mark G. Martens (6 shared papers)Nand Lal (1 shared paper)
- Journals
- American Journal of Reproductive Immunology (3 papers)World Journal of Gastroenterology (3 papers)Infection and Immunity (2 papers)Journal of Clinical Microbiology (2 papers)Clinical Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Anil Kaul
32 papers receiving 683 citations
Peers
Comparison fields: 5 of 117
- Endocrinology 86
- Hepatology 80
- Molecular Medicine 38
- Epidemiology 195
- Immunology 115
Countries citing papers authored by Anil Kaul
This map shows the geographic impact of Anil Kaul'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 Anil Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Kaul more than expected).
Fields of papers citing papers by Anil Kaul
This network shows the impact of papers produced by Anil Kaul. 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 Anil Kaul. The network helps show where Anil Kaul may publish in the future.
Co-authors
The 25 scholars most cited alongside Anil Kaul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 116 | |
| 2 | 2000 | 81 | |
| 3 | 2009 | 55 | |
| 4 | 2017 | 54 | |
| 5 | 2002 | 49 | |
| 6 | 1996 | 46 | |
| 7 | 2010 | 42 | |
| 8 | 1999 | 37 | |
| 9 | 2018 | 33 | |
| 10 | 1995 | 26 | |
| 11 | 2016 | 23 | |
| 12 | 1996 | 19 | |
| 13 | 1994 | 15 | |
| 14 | 1995 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 1994 | 9 | |
| 18 | 2007 | 8 | |
| 19 | 2020 | 7 | |
| 20 | Estrogen receptor alpha differentially modulates host immunity in the bladder and kidney in response to urinary tract infection. | 2019 | 7 |
About Anil Kaul
Anil Kaul is a scholar working on Epidemiology, Immunology, Infectious Diseases, Surgery and Endocrinology, having authored 35 papers that have together received 697 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (6 papers), Escherichia coli research studies (5 papers), Urinary Bladder and Prostate Research (3 papers), Urinary Tract Infections Management (3 papers), Muscle and Compartmental Disorders (2 papers), Immune Response and Inflammation (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Endocrinology (86 citations), Hepatology (80 citations), Molecular Medicine (38 citations), Epidemiology (195 citations) and Immunology (115 citations). Anil Kaul has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Rashmi Kaul, Mamta Kalra, B. Nowicki, Senait Assefa, Jary S. Mayes, Manubai Nagamani, Mark G. Martens, Nand Lal, Mark E. Payton and Janaki K. Iyer. Their work appears in journals such as American Journal of Reproductive Immunology, World Journal of Gastroenterology, Infection and Immunity, Journal of Clinical Microbiology and Clinical Immunology.
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.