Nikesh Kotecha
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
- Oncology 5
- Cancer Cells and Metastasis 2
- Cytokine Signaling Pathways and Interactions 2
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- Single-cell and spatial transcriptomics 3
- Gene expression and cancer classification 2
- Co-authors
- Jonathan M. Irish (8 shared papers)Peter O. Krutzik (2 shared papers)Garry P. Nolan (6 shared papers)Tiffany J. Chen (1 shared paper)Kevin Shannon (4 shared papers)Ernesto Díaz-Flores (4 shared papers)Mignon L. Loh (2 shared papers)Sophie Archambeault (2 shared papers)
- Journals
- Blood (3 papers)Journal of Clinical Oncology (1 paper)Journal of the American Medical Informatics Association (1 paper)Assay and Drug Development Technologies (1 paper)Applied Ontology (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Nikesh Kotecha
13 papers receiving 989 citations
Peers
Comparison fields: 5 of 101
- Hematology 217
- Biophysics 114
- Immunology 270
- Genetics 114
- Molecular Biology 542
Countries citing papers authored by Nikesh Kotecha
This map shows the geographic impact of Nikesh Kotecha'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 Nikesh Kotecha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikesh Kotecha more than expected).
Fields of papers citing papers by Nikesh Kotecha
This network shows the impact of papers produced by Nikesh Kotecha. 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 Nikesh Kotecha. The network helps show where Nikesh Kotecha may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikesh Kotecha, 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 | 2010 | 368 | |
| 2 | 2006 | 247 | |
| 3 | 2008 | 173 | |
| 4 | 2006 | 94 | |
| 5 | 2014 | 78 | |
| 6 | 2023 | 27 | |
| 7 | 2009 | 8 | |
| 8 | 2015 | 3 | |
| 9 | 2008 | 2 | |
| 10 | 2005 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2007 | 1 | |
| 13 | 2019 | 1 |
About Nikesh Kotecha
Nikesh Kotecha is a scholar working on Oncology, Molecular Biology, Genetics, Hematology and Cell Biology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cell Image Analysis Techniques (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (217 citations), Biophysics (114 citations), Immunology (270 citations), Genetics (114 citations) and Molecular Biology (542 citations). Nikesh Kotecha has collaborated with scholars based in United States and Belgium. Frequent co-authors include Jonathan M. Irish, Peter O. Krutzik, Garry P. Nolan, Tiffany J. Chen, Kevin Shannon, Ernesto Díaz-Flores, Mignon L. Loh, Sophie Archambeault, Marc Coram and Erin F. Simonds. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of the American Medical Informatics Association, Assay and Drug Development Technologies and Applied Ontology.
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.