Krishna Kumar Veeravalli
- Molecular Biology
- Cancer Research top 10%
- Genetics top 5%
- Neurology top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Jasti S. RaoJeffrey D. KlopfensteinBharath ChelluboinaDavid M. PinsonVenkata Ramesh DasariDavid Z. WangMeena GujratiDzung H. Dinh
- Topics
- Protease and Inhibitor Mechanisms (17 papers)Mesenchymal stem cell research (11 papers)S100 Proteins and Annexins (7 papers)
- Cited by
- NeurologyGeneticsCancer Research
- Journals
- SHILAP Revista de lepidopterologíaStrokeScientific Reports
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Krishna Kumar Veeravalli
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 447
- Cancer Research 302
- Genetics 221
- Neurology 198
- Pathology and Forensic Medicine 164
Countries citing papers authored by Krishna Kumar Veeravalli
This map shows the geographic impact of Krishna Kumar Veeravalli'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 Krishna Kumar Veeravalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Kumar Veeravalli more than expected).
Fields of papers citing papers by Krishna Kumar Veeravalli
This network shows the impact of papers produced by Krishna Kumar Veeravalli. 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 Krishna Kumar Veeravalli. The network helps show where Krishna Kumar Veeravalli may publish in the future.
Co-authorship network of co-authors of Krishna Kumar Veeravalli
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kumar Veeravalli. A scholar is included among the top collaborators of Krishna Kumar Veeravalli 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 Krishna Kumar Veeravalli. Krishna Kumar Veeravalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 39 | |
| 9 | 96 | |
| 10 | 3 | |
| 11 | 47 | |
| 12 | 11 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 28 | |
| 16 | 57 | |
| 17 | 14 | |
| 18 | 29 | |
| 19 | 6 | |
| 20 | 15 |
About Krishna Kumar Veeravalli
Krishna Kumar Veeravalli is a scholar working on Cancer Research, Developmental Neuroscience and Neurology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (17 papers), Mesenchymal stem cell research (11 papers) and S100 Proteins and Annexins (7 papers). The work is most often cited by research in Neurology (198 citations), Genetics (221 citations) and Cancer Research (302 citations). Krishna Kumar Veeravalli has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Jasti S. Rao, Jeffrey D. Klopfenstein, Bharath Chelluboina, David M. Pinson, Venkata Ramesh Dasari, David Z. Wang, Meena Gujrati, Dzung H. Dinh, Koteswara Rao Nalamolu and Andrew J. Tsung. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.
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.