Sridar V. Chittur
- Molecular Biology top 5%
- Cancer Research top 5%
- Physiology top 10%
- Immunology top 10%
- Oncology
- Co-authors
- Scott A. TenenbaumMark A. OyamaAjish GeorgeTimothy E. BaroniV. Jo DavissonMartin TenniswoodJoEllen WelshNamita Chatterjee
- Topics
- RNA Research and Splicing (11 papers)RNA and protein synthesis mechanisms (6 papers)Biochemical and Molecular Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sridar V. Chittur
75 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.4k
- Cancer Research 366
- Physiology 337
- Immunology 288
- Oncology 191
Countries citing papers authored by Sridar V. Chittur
This map shows the geographic impact of Sridar V. Chittur'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 Sridar V. Chittur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sridar V. Chittur more than expected).
Fields of papers citing papers by Sridar V. Chittur
This network shows the impact of papers produced by Sridar V. Chittur. 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 Sridar V. Chittur. The network helps show where Sridar V. Chittur may publish in the future.
Co-authorship network of co-authors of Sridar V. Chittur
This figure shows the co-authorship network connecting the top 25 collaborators of Sridar V. Chittur. A scholar is included among the top collaborators of Sridar V. Chittur 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 Sridar V. Chittur. Sridar V. Chittur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | Next Generation Genotyping (NGG) Using Riptide™. Performance Specifications when Best Practices are Applied | 1 |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | 34 | |
| 10 | 21 | |
| 11 | 91 | |
| 12 | Changed gene expression and longevity in honeybees (Apis mellifera) fed with phenylbutyrate- and phenylacetylglutaminate-supplemented diet | 6 |
| 13 | 45 | |
| 14 | 81 | |
| 15 | 54 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 207 | |
| 19 | 5 | |
| 20 | 94 |
About Sridar V. Chittur
Sridar V. Chittur is a scholar working on Immunology and Allergy, Cancer Research and Molecular Biology, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (6 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Cancer Research (366 citations), Molecular Biology (1.4k citations) and Biological Psychiatry (46 citations). Sridar V. Chittur has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Scott A. Tenenbaum, Mark A. Oyama, Ajish George, Timothy E. Baroni, V. Jo Davisson, Martin Tenniswood, JoEllen Welsh, Namita Chatterjee, Perry J. Blackshear and Paul J. Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental 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.