Sumit R. Kumar
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Axon Guidance and Neuronal Signaling 2
-
- Hematopoietic Stem Cell Transplantation 2
- Erythropoietin and Anemia Treatment 1
- Co-authors
- Fangting Wu (1 shared paper)Shoumin Zhu (1 shared paper)Yin‐Yuan Mo (1 shared paper)Mohit Sachdeva (1 shared paper)Kounosuke Watabe (1 shared paper)Hailong Wu (1 shared paper)Randolph C. Elble (1 shared paper)Vijay Walia (1 shared paper)
- Journals
- Autophagy (2 papers)Blood Advances (1 paper)Life Science Alliance (1 paper)BMC Ophthalmology (1 paper)Nature Communications (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Sumit R. Kumar
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 504
- Drug Discovery 3
- Cellular and Molecular Neuroscience 109
- Oncology 136
- Molecular Biology 272
Countries citing papers authored by Sumit R. Kumar
This map shows the geographic impact of Sumit R. 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 Sumit R. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit R. Kumar more than expected).
Fields of papers citing papers by Sumit R. Kumar
This network shows the impact of papers produced by Sumit R. 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 Sumit R. Kumar. The network helps show where Sumit R. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit R. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 733 | |
| 2 | 2011 | 138 | |
| 3 | 2020 | 60 | |
| 4 | 2019 | 54 | |
| 5 | 2017 | 48 | |
| 6 | 2024 | 46 | |
| 7 | 2015 | 45 | |
| 8 | 2016 | 41 | |
| 9 | 2013 | 37 | |
| 10 | 2020 | 22 | |
| 11 | 2007 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 13 | |
| 15 | 2025 | 5 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 1 |
About Sumit R. Kumar
Sumit R. Kumar is a scholar working on Cellular and Molecular Neuroscience, Hematology, Immunology, Oncology and Materials Chemistry, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Autophagy in Disease and Therapy (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Retinal Development and Disorders (2 papers), Immunotoxicology and immune responses (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Erythropoietin and Anemia Treatment (1 paper). The work is most often cited by research in Cancer Research (504 citations), Drug Discovery (3 citations), Cellular and Molecular Neuroscience (109 citations), Oncology (136 citations) and Molecular Biology (272 citations). Sumit R. Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Fangting Wu, Shoumin Zhu, Yin‐Yuan Mo, Mohit Sachdeva, Kounosuke Watabe, Hailong Wu, Randolph C. Elble, Vijay Walia, Ramovatar Meena and R. Paulraj. Their work appears in journals such as Autophagy, Blood Advances, Life Science Alliance, BMC Ophthalmology and Nature Communications.
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.