Vidhya G. Krishnan
Impact in
- Genetics top 5%
- 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
-
- RNA and protein synthesis mechanisms 2
- Surgery 4
- Pancreatic function and diabetes 3
- Co-authors
- Sean D. Mooney (3 shared papers)D.N. Cooper (2 shared papers)Matthew Mort (2 shared papers)Predrag Radivojac (2 shared papers)Biao Li (2 shared papers)Fuxiao Xin (1 shared paper)David R. Westhead (1 shared paper)Uday S. Evani (2 shared papers)
- Journals
- iScience (2 papers)Bioinformatics (2 papers)Nature Communications (1 paper)BMC Biology (1 paper)Genome Medicine (1 paper)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Vidhya G. Krishnan
10 papers receiving 1.0k citations
Vidhya G. Krishnan's Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 365
- Molecular Biology 614
- Clinical Biochemistry 52
- Aging 13
- Cancer Research 93
Countries citing papers authored by Vidhya G. Krishnan
This map shows the geographic impact of Vidhya G. 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 G. 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 G. Krishnan more than expected).
Fields of papers citing papers by Vidhya G. Krishnan
This network shows the impact of papers produced by Vidhya G. 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 G. Krishnan. The network helps show where Vidhya G. Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Vidhya G. 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 | 629 |
| 2 | 2003 | 114 | |
| 3 | 2010 | 51 | |
| 4 | 2020 | 50 | |
| 5 | 2021 | 48 | |
| 6 | 2010 | 45 | |
| 7 | 2019 | 44 | |
| 8 | 2021 | 25 | |
| 9 | 2012 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 0 |
About Vidhya G. Krishnan
Vidhya G. Krishnan is a scholar working on Molecular Biology, Surgery, Genetics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Genomics and Rare Diseases (2 papers), Diabetes and associated disorders (2 papers), RNA and protein synthesis mechanisms (2 papers), Diabetes Management and Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Cancer Genomics and Diagnostics (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Genetics (365 citations), Molecular Biology (614 citations), Clinical Biochemistry (52 citations), Aging (13 citations) and Cancer Research (93 citations). Vidhya G. Krishnan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Sean D. Mooney, D.N. Cooper, Matthew Mort, Predrag Radivojac, Biao Li, Fuxiao Xin, David R. Westhead, Uday S. Evani, Shawn Hoon and Adrian Kee Keong Teo. Their work appears in journals such as iScience, Bioinformatics, Nature Communications, BMC Biology and Genome Medicine.
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.