Nikesh Kotecha

1.8k total citations
13 papers, 990 citations indexed

About

Nikesh Kotecha is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nikesh Kotecha has authored 13 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Genetics. Recurrent topics in Nikesh Kotecha's work include Single-cell and spatial transcriptomics (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cell Image Analysis Techniques (3 papers). Nikesh Kotecha is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cell Image Analysis Techniques (3 papers). Nikesh Kotecha collaborates with scholars based in United States and Belgium. Nikesh Kotecha's co-authors include Jonathan M. Irish, Peter O. Krutzik, Garry P. Nolan, Tiffany J. Chen, Ernesto Díaz-Flores, Kevin Shannon, Erin F. Simonds, Marc Coram, Sophie Archambeault and Mignon L. Loh and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Blood.

In The Last Decade

Nikesh Kotecha

13 papers receiving 973 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nikesh Kotecha United States 7 564 299 223 191 124 13 990
Quentin Lécrevisse Spain 16 385 0.7× 292 1.0× 397 1.8× 224 1.2× 54 0.4× 35 933
Mark A. Murakami United States 9 282 0.5× 174 0.6× 230 1.0× 198 1.0× 35 0.3× 30 909
Hans Skvara Austria 12 270 0.5× 160 0.5× 126 0.6× 255 1.3× 36 0.3× 22 771
Juan Flores‐Montero Spain 19 423 0.8× 242 0.8× 606 2.7× 241 1.3× 40 0.3× 42 1.0k
Khaja Syed United States 8 376 0.7× 311 1.0× 635 2.8× 524 2.7× 72 0.6× 15 1.1k
John Burthem United Kingdom 19 376 0.7× 234 0.8× 266 1.2× 114 0.6× 25 0.2× 51 1.2k
Rachel Evans United Kingdom 12 599 1.1× 520 1.7× 160 0.7× 193 1.0× 17 0.1× 18 1.4k
Julie A. Oliver United States 15 362 0.6× 421 1.4× 691 3.1× 122 0.6× 62 0.5× 23 1.6k
Ernesto Díaz-Flores United States 15 558 1.0× 153 0.5× 305 1.4× 198 1.0× 18 0.1× 29 859
Elena W.Y. Hsieh United States 12 592 1.0× 340 1.1× 44 0.2× 49 0.3× 95 0.8× 37 928

Countries citing papers authored by Nikesh Kotecha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nikesh Kotecha

This figure shows the co-authorship network connecting the top 25 collaborators of Nikesh Kotecha. A scholar is included among the top collaborators of Nikesh Kotecha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nikesh Kotecha. Nikesh Kotecha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Corbin, Conor K., et al.. (2023). DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. Journal of the American Medical Informatics Association. 30(9). 1532–1542. 21 indexed citations
2.
Johnson, Brett A., et al.. (2019). Endocrinopathies associated with immune checkpoint inhibitors: Standard of care at veterans administration medical centers.. Journal of Clinical Oncology. 37(15_suppl). e14148–e14148. 1 indexed citations
3.
Kotecha, Nikesh, et al.. (2019). Myasthenia Gravis: A Rare Immune Related Adverse Event of Pembrolizumab. A6542–A6542. 2 indexed citations
4.
Karr, Jonathan R., Harendra Guturu, Edward Y. Chen, et al.. (2015). NetworkPainter: dynamic intracellular pathway animation in Cytobank. BMC Bioinformatics. 16(1). 172–172. 3 indexed citations
5.
Chen, Tiffany J. & Nikesh Kotecha. (2014). Cytobank: Providing an Analytics Platform for Community Cytometry Data Analysis and Collaboration. Current topics in microbiology and immunology. 377. 127–157. 75 indexed citations
6.
Kotecha, Nikesh, Peter O. Krutzik, & Jonathan M. Irish. (2010). Web‐Based Analysis and Publication of Flow Cytometry Experiments. Current Protocols in Cytometry. 53(1). Unit10.17–Unit10.17. 363 indexed citations
7.
Hammer, Mark M., Nikesh Kotecha, Jonathan M. Irish, Garry P. Nolan, & Peter O. Krutzik. (2009). WebFlow: A Software Package for High-Throughput Analysis of Flow Cytometry Data. Assay and Drug Development Technologies. 7(1). 44–55. 8 indexed citations
8.
Kotecha, Nikesh, Jonathan M. Irish, Erin F. Simonds, et al.. (2008). Single-Cell Profiling Identifies Aberrant STAT5 Activation in Myeloid Malignancies with Specific Clinical and Biologic Correlates. Cancer Cell. 14(4). 335–343. 173 indexed citations
9.
Kotecha, Nikesh, et al.. (2008). Pathway knowledge base: An integrated pathway resource using BioPAX. Applied Ontology. 3(4). 235–245. 2 indexed citations
10.
Kotecha, Nikesh, Jonathan M. Irish, Sophie Archambeault, et al.. (2007). A Novel Assay for Juvenile Myelomonocytic Leukemia Based on Aberrant Signaling Networks Measured Via Phospho-Specific Flow Cytometry Reduces Diagnosis Time from Weeks to Days.. Blood. 110(11). 546–546. 1 indexed citations
11.
Irish, Jonathan M., Nikesh Kotecha, & Garry P. Nolan. (2006). Mapping normal and cancer cell signalling networks: towards single-cell proteomics. Nature reviews. Cancer. 6(2). 146–155. 247 indexed citations
12.
Díaz-Flores, Ernesto, Emmanuelle Passegué, Jonathan M. Irish, et al.. (2006). K-RasG12D expression induces hyperproliferation and aberrant signaling in primary hematopoietic stem/progenitor cells. Blood. 109(9). 3945–3952. 92 indexed citations
13.
Díaz-Flores, Ernesto, Nikesh Kotecha, Amit J. Sabnis, et al.. (2005). Multiparameter Flow Cytometric Analysis Reveals Aberrant Phosphorylation of a Network of Effector Molecules in Defined Populations of Kras Mutant Bone Marrow.. Blood. 106(11). 239–239. 2 indexed citations

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.

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