Vishram Kedar
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Co-authors
- Cam PattersonHolly McDonoughRanjana AryaHuihua LiChunlian ZhangDa‐Zhi WangHoward A. RockmanHui‐Hua Li
- Topics
- Cell Adhesion Molecules Research (5 papers)Signaling Pathways in Disease (3 papers)Axon Guidance and Neuronal Signaling (3 papers)
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
Vishram Kedar
15 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 313
- Cell Biology 255
- Cellular and Molecular Neuroscience 204
- Epidemiology 185
Countries citing papers authored by Vishram Kedar
This map shows the geographic impact of Vishram Kedar'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 Vishram Kedar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishram Kedar more than expected).
Fields of papers citing papers by Vishram Kedar
This network shows the impact of papers produced by Vishram Kedar. 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 Vishram Kedar. The network helps show where Vishram Kedar may publish in the future.
Co-authorship network of co-authors of Vishram Kedar
This figure shows the co-authorship network connecting the top 25 collaborators of Vishram Kedar. A scholar is included among the top collaborators of Vishram Kedar 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 Vishram Kedar. Vishram Kedar 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 | 31 | |
| 3 | 22 | |
| 4 | 309 | |
| 5 | 25 | |
| 6 | 321 | |
| 7 | Adhesion molecule L1 stimulates neuronal migration through Vav2-Pak1 signaling. | 27 |
| 8 | 286 | |
| 9 | 101 | |
| 10 | 24 | |
| 11 | 136 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 21 | |
| 16 | 73 |
About Vishram Kedar
Vishram Kedar is a scholar working on Immunology and Allergy, Developmental Neuroscience and Cell Biology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Signaling Pathways in Disease (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Aging (31 citations), Molecular Biology (1.1k citations) and Cell Biology (255 citations). Vishram Kedar has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Cam Patterson, Holly McDonough, Ranjana Arya, Huihua Li, Chunlian Zhang, Da‐Zhi Wang, Howard A. Rockman, Hui‐Hua Li, Bentley R. Midkiff and Patricia F. Maness. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.