Jayanth Krishnan
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 1
- Microbial Metabolic Engineering and Bioproduction 1
- RNA Research and Splicing 1
- Gene Regulatory Network Analysis 1
- Genetics 1
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Huilei Xu (1 shared paper)Amin R. Mazloom (1 shared paper)Avi Ma’ayan (1 shared paper)Alexander Lachmann (1 shared paper)Seth Berger (1 shared paper)Korinna Straube (1 shared paper)Mario Dejung (1 shared paper)Mengting Gu (1 shared paper)
- Journals
- Genome Research (1 paper)PLoS Pathogens (1 paper)Nucleic Acids Research (1 paper)Molecular Biology and Evolution (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesDenmarkAustralia
In The Last Decade
Jayanth Krishnan
3 papers receiving 732 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 135
- Molecular Biology 541
- Aging 7
- Immunology 81
- Developmental Neuroscience 13
Countries citing papers authored by Jayanth Krishnan
This map shows the geographic impact of Jayanth Krishnan'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 Jayanth Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayanth Krishnan more than expected).
Fields of papers citing papers by Jayanth Krishnan
This network shows the impact of papers produced by Jayanth Krishnan. 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 Jayanth Krishnan. The network helps show where Jayanth Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayanth Krishnan, 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 | ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments Hit paper breakdown → | 2010 | 677 |
| 2 | 2017 | 52 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2025 | 0 |
About Jayanth Krishnan
Jayanth Krishnan is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 736 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Machine Learning in Bioinformatics (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), RNA Research and Splicing (1 paper), Cancer-related molecular mechanisms research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Cancer Research (135 citations), Molecular Biology (541 citations), Aging (7 citations), Immunology (81 citations) and Developmental Neuroscience (13 citations). Jayanth Krishnan has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Huilei Xu, Amin R. Mazloom, Avi Ma’ayan, Alexander Lachmann, Seth Berger, Korinna Straube, Mario Dejung, Mengting Gu, Jing Zhang and Karla M. Neugebauer. Their work appears in journals such as Genome Research, PLoS Pathogens, Nucleic Acids Research, Molecular Biology and Evolution and Bioinformatics.
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.