Sandeep Kumar
- Cancer Research top 2%
- MicroRNA in disease regulation 16
- Cancer-related molecular mechanisms research 16
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases 9
- Molecular Biology top 5%
- Circular RNAs in diseases 8
- Kruppel-like factors research 5
- Epigenetics and DNA Methylation 5
- Cell Biology top 5%
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- Adipokines, Inflammation, and Metabolic Diseases 8
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- Adipose Tissue and Metabolism 5
- Co-authors
- Hanjoong JoChan Woo KimSudhiranjan GuptaSandhya L. SitasawadRachel SimmonsDong Won KangDong Ju SonVasundhara Kain
- Journals
- PLoS ONE (9 papers)Arteriosclerosis Thrombosis and Vascular Biology (5 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Sandeep Kumar
117 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cancer Research 1.0k
- Immunology 705
- Molecular Biology 2.1k
- Cell Biology 407
- Cardiology and Cardiovascular Medicine 551
Countries citing papers authored by Sandeep Kumar
This map shows the geographic impact of Sandeep 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 Sandeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kumar more than expected).
Fields of papers citing papers by Sandeep Kumar
This network shows the impact of papers produced by Sandeep 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 Sandeep Kumar. The network helps show where Sandeep Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandeep 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 52 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 157 | |
| 13 | 2020 | 41 | |
| 14 | Effect of clove weight and plant growth regulators on shelf-life of garlic (Allium sativum L.) | 2018 | 2 |
| 15 | 2018 | 23 | |
| 16 | 2017 | 1 | |
| 17 | 2014 | 29 | |
| 18 | Diagnostic studies in dogs with hepatic disorders. | 2014 | 6 |
| 19 | Mammary gland tumours in male dogs: a hormonal and tumour marker study. | 2014 | 7 |
| 20 | 2010 | 13 |
About Sandeep Kumar
Sandeep Kumar is a scholar working on Cancer Research, Immunology and Periodontics, having authored 129 papers that have together received 4.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Cancer-related molecular mechanisms research (16 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Circular RNAs in diseases (8 papers), Adipose Tissue and Metabolism (5 papers), Kruppel-like factors research (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (705 citations) and Molecular Biology (2.1k citations). Sandeep Kumar has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Hanjoong Jo, Chan Woo Kim, Sudhiranjan Gupta, Sandhya L. Sitasawad, Rachel Simmons, Dong Won Kang, Dong Ju Son, Vasundhara Kain, Chuanyu Wei and Reena Kumari. Their work appears in journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology, Scientific Reports, Diabetes & Metabolic Syndrome Clinical Research & Reviews and Cell Reports.
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.