Subham Basu
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
Papers in
-
- Hippo pathway signaling and YAP/TAZ 2
- Skin and Cellular Biology Research 1
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Richard Kolesnick (4 shared papers)Julian Downward (2 shared papers)Nicholas F. Totty (1 shared paper)Marius Sudol (1 shared paper)Meredith S. Irwin (1 shared paper)Sylvie E. Delikat (2 shared papers)Yuhua Zhang (2 shared papers)Shariff S. Bayoumy (2 shared papers)
- Journals
- Molecular Cell (2 papers)Blood (1 paper)Stem Cells (1 paper)Journal of Translational Medicine (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Subham Basu
12 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 75
- Cell Biology 496
- Molecular Biology 1.1k
- Oncology 181
- Cancer Research 75
- Immunology 56
Countries citing papers authored by Subham Basu
This map shows the geographic impact of Subham Basu'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 Subham Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subham Basu more than expected).
Fields of papers citing papers by Subham Basu
This network shows the impact of papers produced by Subham Basu. 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 Subham Basu. The network helps show where Subham Basu may publish in the future.
Co-authors
The 25 scholars most cited alongside Subham Basu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 712 | |
| 2 | 1997 | 389 | |
| 3 | 1995 | 293 | |
| 4 | 1998 | 189 | |
| 5 | 1998 | 162 | |
| 6 | 2006 | 50 | |
| 7 | 1994 | 39 | |
| 8 | 2023 | 33 | |
| 9 | 2008 | 29 | |
| 10 | 2007 | 28 | |
| 11 | 2025 | 9 | |
| 12 | 2003 | 4 |
About Subham Basu
Subham Basu is a scholar working on Cell Biology, Oncology, Molecular Biology, Urology and Hematology, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cell death mechanisms and regulation (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Cell Biology (496 citations), Molecular Biology (1.1k citations), Oncology (181 citations), Cancer Research (75 citations) and Immunology (56 citations). Subham Basu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Richard Kolesnick, Julian Downward, Nicholas F. Totty, Marius Sudol, Meredith S. Irwin, Sylvie E. Delikat, Yuhua Zhang, Shariff S. Bayoumy, Shalini Mathias and Michael McGinley. Their work appears in journals such as Molecular Cell, Blood, Stem Cells, Journal of Translational Medicine and Nature.
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.