Sunil Suchindran
- Hepatology top 2%
- Cancer Research top 5%
- Epidemiology top 5%
- Respiratory viral infections research 3
- Liver Disease Diagnosis and Treatment 3
- Influenza Virus Research Studies 2
- Genetics top 10%
- Genetic Associations and Epidemiology 3
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- Immunotherapy and Immune Responses 4
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- CAR-T cell therapy research 4
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- Multiple Myeloma Research and Treatments 2
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- Cardiac Imaging and Diagnostics 2
- Co-authors
- Jeanette McCarthyJoseph GeradtsMichihisa UmetaniMatthew K. HoweVarun SondhiPatrick M. SullivanSung Hee ParkDonald P. McDonnell
- Journals
- Statistical Applications in Genetics and Molecular Biology (2 papers)Journal of the American College of Cardiology (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sunil Suchindran
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Hepatology 367
- Cancer Research 440
- Epidemiology 474
- Cardiology and Cardiovascular Medicine 283
- Genetics 261
Countries citing papers authored by Sunil Suchindran
This map shows the geographic impact of Sunil Suchindran'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 Sunil Suchindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Suchindran more than expected).
Fields of papers citing papers by Sunil Suchindran
This network shows the impact of papers produced by Sunil Suchindran. 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 Sunil Suchindran. The network helps show where Sunil Suchindran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunil Suchindran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2020 | 24 | |
| 5 | 2019 | 6 | |
| 6 | 2018 | 44 | |
| 7 | 2016 | 138 | |
| 8 | 2016 | 10 | |
| 9 | 2015 | 13 | |
| 10 | 2014 | 42 | |
| 11 | 27-Hydroxycholesterol Links Hypercholesterolemia and Breast Cancer Pathophysiologybreakdown → | 2013 | 632 |
| 12 | 2010 | 59 | |
| 13 | 2010 | 100 | |
| 14 | 2010 | 26 | |
| 15 | 2010 | 273 | |
| 16 | 2010 | 15 | |
| 17 | 2009 | 22 | |
| 18 | 2008 | 8 | |
| 19 | 2005 | 7 | |
| 20 | 1998 | 39 |
About Sunil Suchindran
Sunil Suchindran is a scholar working on Developmental Biology, Immunology and Hematology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (4 papers), Respiratory viral infections research (3 papers), Genetic Associations and Epidemiology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Influenza Virus Research Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Hepatology (367 citations), Cancer Research (440 citations) and Epidemiology (474 citations). Sunil Suchindran has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jeanette McCarthy, Joseph Geradts, Michihisa Umetani, Matthew K. Howe, Varun Sondhi, Patrick M. Sullivan, Sung Hee Park, Donald P. McDonnell, Jeff S. Jasper and Suzanne E. Wardell. Their work appears in journals such as Statistical Applications in Genetics and Molecular Biology, Journal of the American College of Cardiology, Clinical Infectious Diseases, BMJ Open Respiratory Research and International Journal of Radiation Oncology*Biology*Physics.
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.