Vidhya Gomathi Krishnan
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
- Genetics 4
- Genomics and Rare Diseases 4
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Sean D. Mooney (3 shared papers)D.N. Cooper (2 shared papers)Matthew E. Mort (2 shared papers)Predrag Radivojac A (2 shared papers)Fuxiao Xin (1 shared paper)David R. Westhead (1 shared paper)Uday S. Evani (2 shared papers)Shawn S. Hoon (5 shared papers)
- Journals
- iScience (2 papers)Bioinformatics (2 papers)BMC Biology (1 paper)Nature Communications (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Vidhya Gomathi Krishnan
11 papers receiving 1.1k citations
Vidhya Gomathi Krishnan's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 525
- Clinical Biochemistry 36
- Aging 9
- Molecular Biology 313
- Cancer Research 65
Countries citing papers authored by Vidhya Gomathi Krishnan
This map shows the geographic impact of Vidhya Gomathi 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 Vidhya Gomathi Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidhya Gomathi Krishnan more than expected).
Fields of papers citing papers by Vidhya Gomathi Krishnan
This network shows the impact of papers produced by Vidhya Gomathi 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 Vidhya Gomathi Krishnan. The network helps show where Vidhya Gomathi Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Vidhya Gomathi 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 | Automated inference of molecular mechanisms of disease from amino acid substitutions Hit paper breakdown → | 2009 | 672 |
| 2 | 2003 | 120 | |
| 3 | 2020 | 55 | |
| 4 | 2010 | 54 | |
| 5 | 2021 | 52 | |
| 6 | 2010 | 48 | |
| 7 | 2019 | 47 | |
| 8 | 2014 | 39 | |
| 9 | 2021 | 24 | |
| 10 | 2012 | 6 | |
| 11 | 2023 | 5 |
About Vidhya Gomathi Krishnan
Vidhya Gomathi Krishnan is a scholar working on Genetics, Cancer Research, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Pancreatic function and diabetes (3 papers), Pluripotent Stem Cells Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (1 paper), Cell death mechanisms and regulation (1 paper), Fungal and yeast genetics research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Genetics (525 citations), Clinical Biochemistry (36 citations), Aging (9 citations), Molecular Biology (313 citations) and Cancer Research (65 citations). Vidhya Gomathi Krishnan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Sean D. Mooney, D.N. Cooper, Matthew E. Mort, Predrag Radivojac A, Fuxiao Xin, David R. Westhead, Uday S. Evani, Shawn S. Hoon, Adrian Kee Keong Teo and Natasha Hui Jin Ng. Their work appears in journals such as iScience, Bioinformatics, BMC Biology, Nature Communications and Cell Death and Disease.
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.