Dhavendra Kumar
Impact in
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- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Hemoglobinopathies and Related Disorders
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Genetics and Neurodevelopmental Disorders
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- Metabolism and Genetic Disorders
Papers in
- Genetics 6
- Genomics and Rare Diseases 6
- BRCA gene mutations in cancer 3
- Genomic variations and chromosomal abnormalities 3
- Connective tissue disorders research 1
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- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Shahida Moosa (1 shared paper)Catherine Lynn T. Silao (1 shared paper)Bin Alwi Zilfalil (1 shared paper)
- Journals
- Saudi Medical Journal (1 paper)American Journal of Medical Genetics (1 paper)SHILAP Revista de lepidopterología (2 papers)PubMed Central (1 paper)PubMed (4 papers)
- Partner nations
- United KingdomIndiaPoland
In The Last Decade
Dhavendra Kumar
10 papers receiving 133 citations
Peers
Comparison fields: 5 of 78
- Genetics 58
- Genetics 16
- Clinical Biochemistry 7
- Rheumatology 14
- Hematology 10
Countries citing papers authored by Dhavendra Kumar
This map shows the geographic impact of Dhavendra Kumar'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 Dhavendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhavendra Kumar more than expected).
Fields of papers citing papers by Dhavendra Kumar
This network shows the impact of papers produced by Dhavendra Kumar. 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 Dhavendra Kumar. The network helps show where Dhavendra Kumar may publish in the future.
Co-authors
The 3 scholars most cited alongside Dhavendra Kumar, 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 | 1998 | 58 | |
| 2 | 2008 | 20 | |
| 3 | 2007 | 19 | |
| 4 | 2011 | 17 | |
| 5 | 2007 | 12 | |
| 6 | 2004 | 9 | |
| 7 | 2015 | 3 | |
| 8 | 2007 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2008 | 0 |
About Dhavendra Kumar
Dhavendra Kumar is a scholar working on Genetics, Molecular Biology, History and Philosophy of Science, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 12 papers that have together received 143 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), BRCA gene mutations in cancer (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Connective tissue disorders research (1 paper), Face and Expression Recognition (1 paper), Evolution and Science Education (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Genetics (58 citations), Genetics (16 citations), Clinical Biochemistry (7 citations), Rheumatology (14 citations) and Hematology (10 citations). Dhavendra Kumar has collaborated with scholars based in United Kingdom, India and Poland. Frequent co-authors include Shahida Moosa, Catherine Lynn T. Silao and Bin Alwi Zilfalil. Their work appears in journals such as Saudi Medical Journal, American Journal of Medical Genetics, SHILAP Revista de lepidopterología, PubMed Central and PubMed.
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.