Tapsi Kumar
Impact in
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Molecular Biology top 2%
- Gut microbiota and health
- Single-cell and spatial transcriptomics
Papers in
-
- Cancer Genomics and Diagnostics 3
- Breast Cancer Treatment Studies 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Pancreatic and Hepatic Oncology Research 2
- Cancer Cells and Metastasis 1
- Co-authors
- Nicholas E. Navin (3 shared papers)Ken Chen (2 shared papers)Fang Wang (2 shared papers)Shanshan Bai (2 shared papers)Aislyn P. Schalck (2 shared papers)Min Shan Hu (2 shared papers)Emi Sei (2 shared papers)Ying C. Henderson (1 shared paper)
- Journals
- Nature (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Nature Genetics (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Tapsi Kumar
10 papers receiving 4.8k citations
Tapsi Kumar's Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 2.1k
- Molecular Biology 2.4k
- Cancer Research 335
- Biotechnology 133
- Immunology 299
Countries citing papers authored by Tapsi Kumar
This map shows the geographic impact of Tapsi 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 Tapsi Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapsi Kumar more than expected).
Fields of papers citing papers by Tapsi Kumar
This network shows the impact of papers produced by Tapsi 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 Tapsi Kumar. The network helps show where Tapsi Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Tapsi 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 | Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients Hit paper breakdown → | 2017 | 3860 |
| 2 | Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes Hit paper breakdown → | 2021 | 559 |
| 3 | A spatially resolved single-cell genomic atlas of the adult human breast Hit paper breakdown → | 2023 | 150 |
| 4 | 2019 | 68 | |
| 5 | 2022 | 60 | |
| 6 | 2022 | 60 | |
| 7 | 2023 | 39 | |
| 8 | 2019 | 24 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 0 | |
| 12 | 2026 | 0 |
About Tapsi Kumar
Tapsi Kumar is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Physiology, having authored 12 papers that have together received 4.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Breast Cancer Treatment Studies (2 papers), Breast Lesions and Carcinomas (1 paper), Smoking Behavior and Cessation (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (2.1k citations), Molecular Biology (2.4k citations), Cancer Research (335 citations), Biotechnology (133 citations) and Immunology (299 citations). Tapsi Kumar has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Nicholas E. Navin, Ken Chen, Fang Wang, Shanshan Bai, Aislyn P. Schalck, Min Shan Hu, Emi Sei, Ying C. Henderson, Jennifer Rui Wang and Yiyun Lin. Their work appears in journals such as Nature, Clinical Cancer Research, Scientific Reports, Nature Genetics and British Journal of Cancer.
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.