Sumit Agarwal
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Heat shock proteins research
- Ubiquitin and proteasome pathways
- Biochemical and Molecular Research
Papers in
-
- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 5
- RNA Interference and Gene Delivery 4
- Oncology 15
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 4
- Co-authors
- Sooryanarayana Varambally (17 shared papers)Anil Suri (13 shared papers)Nirmala Jagadish (12 shared papers)Upender Manne (17 shared papers)Deepak Parashar (11 shared papers)Darshan S. Chandrashekar (11 shared papers)Balabhadrapatruni V. S. K. Chakravarthi (10 shared papers)Nirmal Kumar Lohiya (9 shared papers)
- Journals
- Translational Oncology (6 papers)OncoImmunology (4 papers)Journal of Experimental & Clinical Cancer Research (3 papers)Cancer Research (3 papers)Neoplasia (2 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Sumit Agarwal
38 papers receiving 961 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 255
- Molecular Biology 721
- Oncology 242
- Immunology 152
- Aging 10
Countries citing papers authored by Sumit Agarwal
This map shows the geographic impact of Sumit Agarwal'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 Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Agarwal more than expected).
Fields of papers citing papers by Sumit Agarwal
This network shows the impact of papers produced by Sumit Agarwal. 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 Agarwal. The network helps show where Sumit Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Agarwal, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2016 | 54 | |
| 3 | 2017 | 51 | |
| 4 | 2016 | 47 | |
| 5 | 2018 | 46 | |
| 6 | 2019 | 43 | |
| 7 | 2020 | 41 | |
| 8 | 2016 | 40 | |
| 9 | 2020 | 39 | |
| 10 | 2013 | 37 | |
| 11 | 2012 | 36 | |
| 12 | 2020 | 36 | |
| 13 | 2013 | 35 | |
| 14 | 2015 | 33 | |
| 15 | 2013 | 32 | |
| 16 | 2022 | 32 | |
| 17 | 2019 | 25 | |
| 18 | 2006 | 23 | |
| 19 | 2006 | 22 | |
| 20 | 2020 | 21 |
About Sumit Agarwal
Sumit Agarwal is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 969 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Immunotherapy and Immune Responses (6 papers), RNA modifications and cancer (6 papers), Ferroptosis and cancer prognosis (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (4 papers), RNA Interference and Gene Delivery (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cancer Research (255 citations), Molecular Biology (721 citations), Oncology (242 citations), Immunology (152 citations) and Aging (10 citations). Sumit Agarwal has collaborated with scholars based in United States, India and France. Frequent co-authors include Sooryanarayana Varambally, Anil Suri, Nirmala Jagadish, Upender Manne, Deepak Parashar, Darshan S. Chandrashekar, Balabhadrapatruni V. S. K. Chakravarthi, Nirmal Kumar Lohiya, Michael Behring and Sameer Al Diffalha. Their work appears in journals such as Translational Oncology, OncoImmunology, Journal of Experimental & Clinical Cancer Research, Cancer Research and Neoplasia.
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.