Krishanu Ray
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 10%
Papers in ⓘ
-
- Protist diversity and phylogeny 11
- Developmental Biology and Gene Regulation 11
- Cell Biology 27
- Microtubule and mitosis dynamics 23
- Cellular transport and secretion 10
- Co-authors
- Verônica Rodrigues (5 shared papers)K. C. Majumdar (15 shared papers)Seema Shirolikar (7 shared papers)William Chia (1 shared paper)Helen K. Salz (1 shared paper)Thomas Dick (1 shared paper)Peh Yean Cheah (1 shared paper)Anindya Ghosh‐Roy (3 shared papers)
- Journals
- Tetrahedron Letters (8 papers)Journal of Biosciences (4 papers)Synthesis (4 papers)Scientific Reports (3 papers)Molecular Biology of the Cell (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Krishanu Ray
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 485
- Aging 28
- Cellular and Molecular Neuroscience 272
- Genetics 352
- Molecular Biology 831
Countries citing papers authored by Krishanu Ray
This map shows the geographic impact of Krishanu Ray'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 Krishanu Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishanu Ray more than expected).
Fields of papers citing papers by Krishanu Ray
This network shows the impact of papers produced by Krishanu Ray. 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 Krishanu Ray. The network helps show where Krishanu Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Krishanu Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 138 | |
| 2 | 2003 | 131 | |
| 3 | 1995 | 120 | |
| 4 | 1999 | 94 | |
| 5 | 1998 | 79 | |
| 6 | 2011 | 66 | |
| 7 | 1995 | 62 | |
| 8 | 1997 | 49 | |
| 9 | 2004 | 42 | |
| 10 | 2005 | 40 | |
| 11 | 1993 | 39 | |
| 12 | 2010 | 35 | |
| 13 | 2009 | 33 | |
| 14 | 2009 | 31 | |
| 15 | 2007 | 31 | |
| 16 | 2009 | 30 | |
| 17 | 2017 | 27 | |
| 18 | 2012 | 25 | |
| 19 | 2011 | 25 | |
| 20 | 1976 | 25 |
About Krishanu Ray
Krishanu Ray is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Genetics, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (23 papers), Protist diversity and phylogeny (11 papers), Developmental Biology and Gene Regulation (11 papers), Neurobiology and Insect Physiology Research (10 papers), Cellular transport and secretion (10 papers), Genetic and Kidney Cyst Diseases (9 papers), Sperm and Testicular Function (6 papers) and Invertebrate Immune Response Mechanisms (5 papers). The work is most often cited by research in Cell Biology (485 citations), Aging (28 citations), Cellular and Molecular Neuroscience (272 citations), Genetics (352 citations) and Molecular Biology (831 citations). Krishanu Ray has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Verônica Rodrigues, K. C. Majumdar, Seema Shirolikar, William Chia, Helen K. Salz, Thomas Dick, Peh Yean Cheah, Anindya Ghosh‐Roy, W. Chia and Sintu Ganai. Their work appears in journals such as Tetrahedron Letters, Journal of Biosciences, Synthesis, Scientific Reports and Molecular Biology of the Cell.
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.