Vidhya Gomathi Krishnan
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
-
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Mitochondrial Function and Pathology
- Bioinformatics and Genomic Networks
Papers in
- Co-authors
- Sean D. Mooney (3 shared papers)Matthew E. Mort (2 shared papers)Biao Li (2 shared papers)D.N. Cooper (2 shared papers)Predrag Radivojac (2 shared papers)Fuxiao Xin (1 shared paper)David R. Westhead (1 shared paper)Uday Shanker Evani (2 shared papers)
- Journals
- Bioinformatics (2 papers)iScience (2 papers)Genome Medicine (1 paper)BMC Biology (1 paper)Cancer Research (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 100
- Genetics 397
- Molecular Biology 653
- Clinical Biochemistry 55
- Cancer Research 114
- Aging 12
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 | 668 |
| 2 | 2003 | 120 | |
| 3 | 2010 | 54 | |
| 4 | 2020 | 53 | |
| 5 | 2021 | 51 | |
| 6 | 2010 | 48 | |
| 7 | 2019 | 46 | |
| 8 | 2014 | 40 | |
| 9 | 2021 | 24 | |
| 10 | 2012 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 0 |
About Vidhya Gomathi Krishnan
Vidhya Gomathi Krishnan is a scholar working on Genetics, Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism and Health Information Management, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Cancer Genomics and Diagnostics (2 papers), Diabetes and associated disorders (2 papers), Genomics and Rare Diseases (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Genomics and Phylogenetic Studies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Genetics (397 citations), Molecular Biology (653 citations), Clinical Biochemistry (55 citations), Cancer Research (114 citations) and Aging (12 citations). Vidhya Gomathi Krishnan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Sean D. Mooney, Matthew E. Mort, Biao Li, D.N. Cooper, Predrag Radivojac, Fuxiao Xin, David R. Westhead, Uday Shanker Evani, Shawn S. Hoon and Adrian Kee Keong Teo. Their work appears in journals such as Bioinformatics, iScience, Genome Medicine, BMC Biology and Cancer Research.
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.