Subham Basu

2.3k total citations · 1 hit paper
20 papers, 1.9k citations indexed

About

Subham Basu is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Subham Basu has authored 20 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Subham Basu's work include Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). Subham Basu is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). Subham Basu collaborates with scholars based in India, United States and United Kingdom. Subham Basu's co-authors include Richard Kolesnick, Meredith S. Irwin, Nicholas F. Totty, Marius Sudol, Julian Downward, Sylvie Delikat, Yuhua Zhang, Shariff Bayoumy, Shalini Mathias and Michael McGinley and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Subham Basu

19 papers receiving 1.8k citations

Hit Papers

Akt Phosphorylates the Yes-Associated Protein, YAP, to In... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Subham Basu India 11 1.5k 672 238 176 155 20 1.9k
Heidi Sankala United States 15 1.6k 1.1× 604 0.9× 167 0.7× 173 1.0× 179 1.2× 28 1.7k
Clark D. Wells United States 25 1.7k 1.1× 910 1.4× 244 1.0× 222 1.3× 122 0.8× 33 2.4k
Valeria Bertagnolo Italy 25 1.5k 1.0× 356 0.5× 345 1.4× 202 1.1× 159 1.0× 85 2.0k
Robin J. Dickinson United Kingdom 17 1.5k 1.0× 429 0.6× 200 0.8× 192 1.1× 90 0.6× 19 1.8k
Heidi H. Wiener United States 8 1.3k 0.9× 453 0.7× 156 0.7× 158 0.9× 166 1.1× 9 1.6k
Viviana Anelli Italy 20 1.3k 0.9× 412 0.6× 104 0.4× 186 1.1× 164 1.1× 25 1.6k
Dmitri Kapitonov United States 17 1.2k 0.8× 410 0.6× 129 0.5× 273 1.6× 144 0.9× 24 1.4k
Nancy L. Johnson United States 13 1.4k 0.9× 330 0.5× 279 1.2× 217 1.2× 89 0.6× 13 1.8k
Sarah Spiegel United States 8 1.8k 1.2× 595 0.9× 92 0.4× 166 0.9× 223 1.4× 9 2.1k
Lea Guo United States 16 1.1k 0.7× 289 0.4× 198 0.8× 85 0.5× 106 0.7× 21 1.4k

Countries citing papers authored by Subham Basu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Subham Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Subham Basu. A scholar is included among the top collaborators of Subham Basu 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 Subham Basu. Subham Basu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ghosh, Abhrajyoti, et al.. (2025). Enhanced ELL Phase Separation Is Crucial for Efficient DNA Damage Repair to Restart Transcription and Cell Survival. Molecular and Cellular Biology. 46(2). 209–237.
2.
Monkman, James, Habib Sadeghirad, Tony Blick, et al.. (2025). Spatial interaction mapping of PD-1/PD-L1 in head and neck cancer reveals the role of macrophage-tumour barriers associated with immunotherapy response. Journal of Translational Medicine. 23(1). 177–177. 4 indexed citations
4.
Sadeghirad, Habib, James Monkman, Subham Basu, et al.. (2024). Abstract 5188: Defining PD-1/PD-L1 receptor-ligand interactions in the head and neck cancer tumor microenvironment identifies unique ‘immune cell rivers’ of cellular interactions. Cancer Research. 84(6_Supplement). 5188–5188. 1 indexed citations
5.
Basu, Subham, et al.. (2023). Degradation of CDK9 by Ubiquitin E3 Ligase STUB1 Regulates P-TEFb Level and Its Functions for Global Target Gene Expression within Mammalian Cells. Molecular and Cellular Biology. 43(9). 451–471. 1 indexed citations
6.
Cheikh, Bassem Ben, Aditya Pratapa, Anand Bhaskar, et al.. (2022). Abstract 3877: Deep ultrahigh-plex spatial phenotyping of human cancer tissues. Cancer Research. 82(12_Supplement). 3877–3877. 5 indexed citations
7.
Basu, Subham, et al.. (2022). Negative Feedback Loop Mechanism between EAF1/2 and DBC1 in Regulating ELL Stability and Functions. Molecular and Cellular Biology. 42(10). e0015122–e0015122. 7 indexed citations
8.
Basu, Subham, et al.. (2021). Human FKBP5 Negatively Regulates Transcription through Inhibition of P-TEFb Complex Formation. Molecular and Cellular Biology. 42(1). e0034421–e0034421. 9 indexed citations
9.
Basu, Subham, et al.. (2020). Keeping RNA polymerase II on the run: Functions of MLL fusion partners in transcriptional regulation. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1863(8). 194563–194563. 14 indexed citations
10.
Basu, Subham, Bidisha Mukherjee, Jit Sarkar, et al.. (2020). DBC1, p300, HDAC3, and Siah1 coordinately regulate ELL stability and function for expression of its target genes. Proceedings of the National Academy of Sciences. 117(12). 6509–6520. 19 indexed citations
11.
Basu, Subham, et al.. (2019). Multivalent Role of Human TFIID in Recruiting Elongation Components at the Promoter-Proximal Region for Transcriptional Control. Cell Reports. 26(5). 1303–1317.e7. 23 indexed citations
12.
Tang, Ming, et al.. (2018). Positive Regulation of Transcription by Human ZMYND8 through Its Association with P-TEFb Complex. Cell Reports. 24(8). 2141–2154.e6. 25 indexed citations
13.
Wan, Hong, Ming Yuan, Cathy A. Simpson, et al.. (2007). Stem/Progenitor Cell-Like Properties of Desmoglein 3dim Cells in Primary and Immortalized Keratinocyte Lines. Stem Cells. 25(5). 1286–1297. 28 indexed citations
14.
15.
Basu, Subham, Nicholas F. Totty, Meredith S. Irwin, Marius Sudol, & Julian Downward. (2003). Akt Phosphorylates the Yes-Associated Protein, YAP, to Induce Interaction with 14-3-3 and Attenuation of p73-Mediated Apoptosis. Molecular Cell. 11(1). 11–23. 677 indexed citations breakdown →
16.
Basu, Subham. (2003). Akt Inhibits DNA damage by Suppressing p73, p53, Forkhead or all Three?. Cell Cycle. 2(2). 68–69. 4 indexed citations
17.
Basu, Subham & Richard Kolesnick. (1998). Stress signals for apoptosis: ceramide and c-Jun kinase. Oncogene. 17(25). 3277–3285. 181 indexed citations
18.
Basu, Subham, Shariff Bayoumy, Yuhua Zhang, José Lozano, & Richard Kolesnick. (1998). BAD Enables Ceramide to Signal Apoptosis via Ras and Raf-1. Journal of Biological Chemistry. 273(46). 30419–30426. 152 indexed citations
19.
Zhang, Yuhua, Sylvie Delikat, Shariff Bayoumy, et al.. (1997). Kinase Suppressor of Ras Is Ceramide-Activated Protein Kinase. Cell. 89(1). 63–72. 373 indexed citations
20.
Zhang, Yuhua, et al.. (1995). Phosphorylation of Raf by ceramide-activated protein kinase. Nature. 378(6554). 307–310. 287 indexed citations

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.

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