K. V. Venkatesh
- Molecular Biology top 5%
- Biomedical Engineering top 10%
- Genetics top 10%
- Food Science top 5%
- Biotechnology top 5%
- Co-authors
- Sharad BhartiyaPaike Jayadeva BhatPushkar MalakarPrashant M. BapatAkkihebbal K. SureshChetan GadgilAnuradha RajamanickamVivek K. Mutalik
- Topics
- Microbial Metabolic Engineering and Bioproduction (51 papers)Gene Regulatory Network Analysis (31 papers)Fungal and yeast genetics research (26 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
K. V. Venkatesh
114 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.4k
- Biomedical Engineering 423
- Genetics 237
- Food Science 199
- Biotechnology 152
Countries citing papers authored by K. V. Venkatesh
This map shows the geographic impact of K. V. Venkatesh'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 K. V. Venkatesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. V. Venkatesh more than expected).
Fields of papers citing papers by K. V. Venkatesh
This network shows the impact of papers produced by K. V. Venkatesh. 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 K. V. Venkatesh. The network helps show where K. V. Venkatesh may publish in the future.
Co-authorship network of co-authors of K. V. Venkatesh
This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Venkatesh. A scholar is included among the top collaborators of K. V. Venkatesh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. V. Venkatesh. K. V. Venkatesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 12th IFAC Symposium on Computer Applications in Biotechnology 2013 : Mumbai, India, 16-18 December 2013 | 1 |
| 7 | 92 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 16 | |
| 15 | 8 | |
| 16 | 25 | |
| 17 | 9 | |
| 18 | 9 | |
| 19 | 5 | |
| 20 | 64 |
About K. V. Venkatesh
K. V. Venkatesh is a scholar working on Molecular Biology, Genetics and Endocrinology, having authored 117 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (51 papers), Gene Regulatory Network Analysis (31 papers) and Fungal and yeast genetics research (26 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biotechnology (152 citations) and Food Science (199 citations). K. V. Venkatesh has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Sharad Bhartiya, Paike Jayadeva Bhat, Pushkar Malakar, Prashant M. Bapat, Akkihebbal K. Suresh, Chetan Gadgil, Anuradha Rajamanickam, Vivek K. Mutalik, P. K. Vinod and Pankaj Doshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.