Karthik A. Jagadeesh
- Genetics top 5%
- Genomics and Rare Diseases 9
- Genetic Associations and Epidemiology 7
- Genomic variations and chromosomal abnormalities 4
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 4
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 5
- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 2
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- Network Security and Intrusion Detection 2
- Co-authors
- Gill BejeranoJonathan A. BernsteinHarendra GuturuPeter D. StensonD.N. CooperAaron M. WengerMark J. BergerKushal K. Dey
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Karthik A. Jagadeesh
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 625
- Cancer Research 168
- Molecular Biology 715
- Health Informatics 9
- Aging 11
Countries citing papers authored by Karthik A. Jagadeesh
This map shows the geographic impact of Karthik A. Jagadeesh'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 Karthik A. Jagadeesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik A. Jagadeesh more than expected).
Fields of papers citing papers by Karthik A. Jagadeesh
This network shows the impact of papers produced by Karthik A. Jagadeesh. 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 Karthik A. Jagadeesh. The network helps show where Karthik A. Jagadeesh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karthik A. Jagadeesh, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 68 | |
| 7 | 2022 | 73 | |
| 8 | 2022 | 92 | |
| 9 | 2022 | 51 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 56 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 36 | |
| 15 | 2019 | 34 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 28 | |
| 18 | 2017 | 87 | |
| 19 | M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivitybreakdown → | 2016 | 512 |
| 20 | 2014 | 6 |
About Karthik A. Jagadeesh
Karthik A. Jagadeesh is a scholar working on Genetics, Applied Microbiology and Biotechnology and Cancer Research, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Genetic Associations and Epidemiology (7 papers), Single-cell and spatial transcriptomics (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Cancer Genomics and Diagnostics (4 papers), Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Genetics (625 citations), Cancer Research (168 citations) and Molecular Biology (715 citations). Karthik A. Jagadeesh has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Gill Bejerano, Jonathan A. Bernstein, Harendra Guturu, Peter D. Stenson, D.N. Cooper, Aaron M. Wenger, Mark J. Berger, Kushal K. Dey, Johannes Birgmeier and Alkes L. Price. Their work appears in journals such as Nature Genetics, Genetics in Medicine, iScience, Scientific Reports and European Journal of Human Genetics.
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.