Kumar Pichumani
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Mitochondrial Function and Pathology 8
- Protein Structure and Dynamics 4
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- Cancer, Hypoxia, and Metabolism 13
- Co-authors
- Robert Bachoo (7 shared papers)Elizabeth A. Maher (5 shared papers)Ralph J. DeBerardinis (5 shared papers)Tomoyuki Mashimo (4 shared papers)Vamsidhara Vemireddy (3 shared papers)Bruce Mickey (4 shared papers)Zoltán Kovács (4 shared papers)Omkar B. Ijare (18 shared papers)
- Journals
- Neuro-Oncology (10 papers)The Journal of Physical Chemistry B (2 papers)Analytical Biochemistry (2 papers)Cancers (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesAustriaChina
In The Last Decade
Kumar Pichumani
32 papers receiving 1.5k citations
Kumar Pichumani's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 595
- Genetics 244
- Molecular Biology 834
- Biophysics 59
- Immunology 150
Countries citing papers authored by Kumar Pichumani
This map shows the geographic impact of Kumar Pichumani'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 Kumar Pichumani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Pichumani more than expected).
Fields of papers citing papers by Kumar Pichumani
This network shows the impact of papers produced by Kumar Pichumani. 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 Kumar Pichumani. The network helps show where Kumar Pichumani may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Pichumani, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Acetate Is a Bioenergetic Substrate for Human Glioblastoma and Brain Metastases Hit paper breakdown → | 2014 | 588 |
| 2 | Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target Hit paper breakdown → | 2022 | 268 |
| 3 | 2018 | 201 | |
| 4 | 2000 | 73 | |
| 5 | 2013 | 70 | |
| 6 | 2019 | 53 | |
| 7 | 2003 | 34 | |
| 8 | 2021 | 26 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2019 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2005 | 12 | |
| 15 | 2014 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2018 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2017 | 6 | |
| 20 | 2019 | 5 |
About Kumar Pichumani
Kumar Pichumani is a scholar working on Molecular Biology, Cancer Research, Genetics, Spectroscopy and Biochemistry, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), Mitochondrial Function and Pathology (8 papers), Glioma Diagnosis and Treatment (8 papers), Advanced NMR Techniques and Applications (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Molecular spectroscopy and chirality (4 papers), Protein Structure and Dynamics (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (595 citations), Genetics (244 citations), Molecular Biology (834 citations), Biophysics (59 citations) and Immunology (150 citations). Kumar Pichumani has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Robert Bachoo, Elizabeth A. Maher, Ralph J. DeBerardinis, Tomoyuki Mashimo, Vamsidhara Vemireddy, Bruce Mickey, Zoltán Kovács, Omkar B. Ijare, David S. Baskin and Samuel Barnett. Their work appears in journals such as Neuro-Oncology, The Journal of Physical Chemistry B, Analytical Biochemistry, Cancers and Scientific 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.