Anu Paul
Impact in
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- Multiple Sclerosis Research Studies
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Viral gastroenteritis research and epidemiology 9
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- Glycosylation and Glycoproteins Research 5
- Extracellular vesicles in disease 3
- Co-authors
- Roopali Gandhi (13 shared papers)Howard L. Weiner (22 shared papers)Tanuja Chitnis (19 shared papers)Brian C. Healy (16 shared papers)Manuel Comabella (1 shared paper)Gagandeep Kang (8 shared papers)Maria Antonietta Mazzola (9 shared papers)Keren Regev (8 shared papers)
- Journals
- Neurology Neuroimmunology & Neuroinflammation (4 papers)Vaccine (4 papers)Blood (2 papers)Multiple Sclerosis Journal (2 papers)Neurology (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Anu Paul
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Pathology and Forensic Medicine 343
- Cancer Research 195
- Infectious Diseases 239
- Biological Psychiatry 26
- Neurology 131
Countries citing papers authored by Anu Paul
This map shows the geographic impact of Anu Paul'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 Anu Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Paul more than expected).
Fields of papers citing papers by Anu Paul
This network shows the impact of papers produced by Anu Paul. 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 Anu Paul. The network helps show where Anu Paul may publish in the future.
Co-authors
The 25 scholars most cited alongside Anu Paul, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 134 | |
| 2 | 2018 | 116 | |
| 3 | 2022 | 100 | |
| 4 | 2018 | 85 | |
| 5 | 2016 | 83 | |
| 6 | 2018 | 68 | |
| 7 | 2017 | 60 | |
| 8 | 2020 | 50 | |
| 9 | 2013 | 47 | |
| 10 | 2017 | 40 | |
| 11 | 2010 | 34 | |
| 12 | 2018 | 32 | |
| 13 | microRNA-92a promotes CNS autoimmunity by modulating the regulatory and inflammatory T cell balance | 2022 | 30 |
| 14 | 2014 | 29 | |
| 15 | 2017 | 23 | |
| 16 | 2023 | 23 | |
| 17 | 2015 | 21 | |
| 18 | 2014 | 21 | |
| 19 | 2022 | 21 | |
| 20 | 2014 | 20 |
About Anu Paul
Anu Paul is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Pathology and Forensic Medicine and Surgery, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Multiple Sclerosis Research Studies (8 papers), Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (5 papers), MicroRNA in disease regulation (5 papers), T-cell and B-cell Immunology (3 papers), Blood groups and transfusion (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (343 citations), Cancer Research (195 citations), Infectious Diseases (239 citations), Biological Psychiatry (26 citations) and Neurology (131 citations). Anu Paul has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Roopali Gandhi, Howard L. Weiner, Tanuja Chitnis, Brian C. Healy, Manuel Comabella, Gagandeep Kang, Maria Antonietta Mazzola, Keren Regev, Pia Kivisäkk and Rohit Bakshi. Their work appears in journals such as Neurology Neuroimmunology & Neuroinflammation, Vaccine, Blood, Multiple Sclerosis Journal and Neurology.
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.