Kshitiz Gupta
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cell Biology top 2%
- Cellular Mechanics and Interactions
Papers in ⓘ
-
- Cancer, Hypoxia, and Metabolism 15
- Co-authors
- Andre Levchenko (29 shared papers)Deok‐Ho Kim (14 shared papers)Gregg L. Semenza (8 shared papers)Maimon E. Hubbi (7 shared papers)Daniele M. Gilkes (5 shared papers)Yasir Suhail (25 shared papers)Hongxia Hu (3 shared papers)Kahp‐Yang Suh (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Integrative Biology (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Kshitiz Gupta
61 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cancer Research 698
- Cell Biology 603
- Geriatrics and Gerontology 105
- Biomaterials 310
- Genetics 242
Countries citing papers authored by Kshitiz Gupta
This map shows the geographic impact of Kshitiz Gupta'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 Kshitiz Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kshitiz Gupta more than expected).
Fields of papers citing papers by Kshitiz Gupta
This network shows the impact of papers produced by Kshitiz Gupta. 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 Kshitiz Gupta. The network helps show where Kshitiz Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Kshitiz Gupta, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systems Biology of Cancer Metastasis Hit paper breakdown → | 2019 | 318 |
| 2 | 2009 | 294 | |
| 3 | 2012 | 214 | |
| 4 | 2012 | 200 | |
| 5 | 2013 | 195 | |
| 6 | 2013 | 161 | |
| 7 | 2013 | 121 | |
| 8 | 2012 | 107 | |
| 9 | 2010 | 103 | |
| 10 | 2012 | 102 | |
| 11 | 2013 | 99 | |
| 12 | 2019 | 95 | |
| 13 | 2014 | 94 | |
| 14 | 2009 | 94 | |
| 15 | 2012 | 91 | |
| 16 | 2014 | 91 | |
| 17 | 2011 | 70 | |
| 18 | 2019 | 57 | |
| 19 | 2012 | 54 | |
| 20 | 2020 | 54 |
About Kshitiz Gupta
Kshitiz Gupta is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Cell Biology and Oncology, having authored 64 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (15 papers), 3D Printing in Biomedical Research (12 papers), Cellular Mechanics and Interactions (10 papers), Tissue Engineering and Regenerative Medicine (8 papers), Cancer Cells and Metastasis (7 papers), Mesenchymal stem cell research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Cancer Research (698 citations), Cell Biology (603 citations), Geriatrics and Gerontology (105 citations), Biomaterials (310 citations) and Genetics (242 citations). Kshitiz Gupta has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Andre Levchenko, Deok‐Ho Kim, Gregg L. Semenza, Maimon E. Hubbi, Daniele M. Gilkes, Yasir Suhail, Hongxia Hu, Kahp‐Yang Suh, Karam Han and Junaid Afzal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Integrative Biology, Nature Communications, Cell Reports and Journal of Clinical Investigation.
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.