Sachin A. Kumar
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
-
- Liver Disease and Transplantation 7
- Co-authors
- Shiv Kumar Sarin (6 shared papers)Rakhi Maiwall (4 shared papers)Farzan Irani (1 shared paper)William R. Colyer (1 shared paper)Michael D. Taylor (4 shared papers)Xosé S. Puente (1 shared paper)Carlos López-Otı́n (1 shared paper)Ferran Nadeu (1 shared paper)
- Journals
- Qualitative Theory of Dynamical Systems (5 papers)Cell (4 papers)Nature (4 papers)Neuro-Oncology (2 papers)CHEST Journal (2 papers)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Sachin A. Kumar
65 papers receiving 2.1k citations
Sachin A. Kumar's Hit Papers
Peers
Comparison fields: 5 of 120
- Genetics 424
- Cancer Research 306
- Molecular Biology 1.0k
- Oncology 313
- Biological Psychiatry 25
Countries citing papers authored by Sachin A. Kumar
This map shows the geographic impact of Sachin A. Kumar'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 Sachin A. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin A. Kumar more than expected).
Fields of papers citing papers by Sachin A. Kumar
This network shows the impact of papers produced by Sachin A. Kumar. 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 Sachin A. Kumar. The network helps show where Sachin A. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sachin A. Kumar, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gut Microbial Metabolism Drives Transformation of Msh2-Deficient Colon Epithelial Cells Hit paper breakdown → | 2014 | 406 |
| 2 | 2019 | 311 | |
| 3 | 2020 | 186 | |
| 4 | 2019 | 141 | |
| 5 | 2019 | 133 | |
| 6 | 2020 | 109 | |
| 7 | 2022 | 95 | |
| 8 | 2016 | 77 | |
| 9 | 2021 | 55 | |
| 10 | 2022 | 45 | |
| 11 | 2018 | 38 | |
| 12 | 2018 | 37 | |
| 13 | 2009 | 35 | |
| 14 | 2012 | 29 | |
| 15 | 2015 | 28 | |
| 16 | 2015 | 28 | |
| 17 | 2013 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 2024 | 22 |
About Sachin A. Kumar
Sachin A. Kumar is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Statistical and Nonlinear Physics, Emergency Medical Services and Genetics, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (7 papers), Liver Disease and Transplantation (7 papers), Glioma Diagnosis and Treatment (5 papers), Nonlinear Photonic Systems (3 papers), Influenza Virus Research Studies (3 papers), Central Venous Catheters and Hemodialysis (3 papers), RNA Research and Splicing (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (424 citations), Cancer Research (306 citations), Molecular Biology (1.0k citations), Oncology (313 citations) and Biological Psychiatry (25 citations). Sachin A. Kumar has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Shiv Kumar Sarin, Rakhi Maiwall, Farzan Irani, William R. Colyer, Michael D. Taylor, Xosé S. Puente, Carlos López-Otı́n, Ferran Nadeu, Ana Gutiérrez‐Fernández and Julio Delgado. Their work appears in journals such as Qualitative Theory of Dynamical Systems, Cell, Nature, Neuro-Oncology and CHEST Journal.
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.