Sujit Basu

4.5k total citations
67 papers, 3.6k citations indexed

About

Sujit Basu is a scholar working on Molecular Biology, Psychiatry and Mental health and Oncology. According to data from OpenAlex, Sujit Basu has authored 67 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Psychiatry and Mental health and 16 papers in Oncology. Recurrent topics in Sujit Basu's work include Cancer, Stress, Anesthesia, and Immune Response (19 papers), Angiogenesis and VEGF in Cancer (17 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Sujit Basu is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (19 papers), Angiogenesis and VEGF in Cancer (17 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Sujit Basu collaborates with scholars based in United States, India and Switzerland. Sujit Basu's co-authors include Partha Dasgupta, Chandrani Sarkar, Debanjan Chakroborty, Biswarup Basu, Debabrata Mukhopadhyay, Janice A. Nagy, Resham Bhattacharya, Priyabrata Mukherjee, Uttio Roy Chowdhury and Rita Mitra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sujit Basu

66 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujit Basu United States 32 1.2k 720 590 534 508 67 3.6k
David Pozo Spain 41 1.4k 1.2× 255 0.4× 1.7k 2.9× 502 0.9× 909 1.8× 106 5.6k
Dana Hilt United States 33 1.9k 1.5× 462 0.6× 1.3k 2.2× 272 0.5× 252 0.5× 70 6.8k
Emmanuel Garcion France 39 1.6k 1.3× 211 0.3× 386 0.7× 510 1.0× 371 0.7× 85 4.9k
Didier Wion France 35 1.7k 1.4× 203 0.3× 591 1.0× 389 0.7× 277 0.5× 87 4.3k
István A. Krizbai Hungary 37 1.6k 1.4× 238 0.3× 534 0.9× 737 1.4× 365 0.7× 110 4.4k
Elena Adinolfi Italy 41 2.2k 1.8× 643 0.9× 232 0.4× 554 1.0× 1.5k 2.9× 84 6.6k
Yi Luo China 28 1.2k 1.0× 149 0.2× 487 0.8× 344 0.6× 772 1.5× 71 4.3k
Jean Sévigny Canada 54 3.3k 2.7× 1.1k 1.5× 590 1.0× 1.1k 2.1× 1.6k 3.1× 291 12.3k
Hye‐Sun Kim South Korea 34 1.4k 1.2× 198 0.3× 796 1.3× 399 0.7× 173 0.3× 106 4.1k
Ulrich Bogdahn Germany 46 2.3k 1.9× 355 0.5× 1.4k 2.4× 1.3k 2.4× 477 0.9× 163 7.8k

Countries citing papers authored by Sujit Basu

Since Specialization
Citations

This map shows the geographic impact of Sujit 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 Sujit Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Basu more than expected).

Fields of papers citing papers by Sujit Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit 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 Sujit Basu. The network helps show where Sujit Basu may publish in the future.

Co-authorship network of co-authors of Sujit Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Basu. A scholar is included among the top collaborators of Sujit 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 Sujit Basu. Sujit 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.
Jabbari, Ali, Wendy L. Frankel, Sujit Basu, et al.. (2024). IL-27 Gene Therapy Ameliorates IPEX Syndrome Caused by Germline Mutation of Foxp3 Gene: A Major Role for Induction of IL-10. The Journal of Immunology. 213(5). 559–566. 1 indexed citations
2.
Bai, Xue‐Feng, et al.. (2024). Therapeutic Immunomodulation in Gastric Cancer. Cancers. 16(3). 560–560. 10 indexed citations
3.
Talebian, Fatemeh, Yang Li, Jianmin Zhu, et al.. (2023). CD200R signaling contributes to unfavorable tumor microenvironment through regulating production of chemokines by tumor-associated myeloid cells. iScience. 26(6). 106904–106904. 5 indexed citations
4.
Peters, Sara, Rita Mitra, Xiaokui Mo, et al.. (2021). Dopamine Prevents Ultraviolet B–induced Development and Progression of Premalignant Cutaneous Lesions through its D2 Receptors. Cancer Prevention Research. 14(7). 687–696. 2 indexed citations
5.
Iwenofu, O. Hans, et al.. (2020). Chebulinic acid is a safe and effective antiangiogenic agent in collagen-induced arthritis in mice. Arthritis Research & Therapy. 22(1). 273–273. 17 indexed citations
6.
7.
Lǚ, Kai, et al.. (2016). Plants and their active compounds: natural molecules to target angiogenesis. Angiogenesis. 19(3). 287–295. 58 indexed citations
8.
Lǚ, Kai & Sujit Basu. (2015). The natural compound chebulagic acid inhibits vascular endothelial growth factor A mediated regulation of endothelial cell functions. Scientific Reports. 5(1). 9642–9642. 20 indexed citations
9.
Kanji, Suman, Manjusri Das, Jingwei Lu, et al.. (2013). Nanofiber-expanded human umbilical cord blood-derived CD34+ cell therapy accelerates murine cutaneous wound closure by attenuating pro-inflammatory factors and secreting IL-10. Stem Cell Research. 12(1). 275–288. 27 indexed citations
10.
Chakroborty, Debanjan, Chandrani Sarkar, Tingting Lu, et al.. (2012). Triphala and Its Active Constituent Chebulinic Acid Are Natural Inhibitors of Vascular Endothelial Growth Factor-A Mediated Angiogenesis. PLoS ONE. 7(8). e43934–e43934. 59 indexed citations
11.
Rana, Tapasi, Biswarup Basu, Chandrani Sarkar, et al.. (2011). Dopamine Regulates Angiogenesis in Normal Dermal Wound Tissues. PLoS ONE. 6(9). e25215–e25215. 33 indexed citations
12.
13.
Chakroborty, Debanjan, Uttio Roy Chowdhury, Chandrani Sarkar, et al.. (2008). Dopamine regulates endothelial progenitor cell mobilization from mouse bone marrow in tumor vascularization. Journal of Clinical Investigation. 118(4). 1380–1389. 117 indexed citations
14.
Basu, Sujit, et al.. (2007). Comparative study of efficacy and toxicities of cisplatin vs vinorelbine as radiosensitisers in locally advanced head and neck cancer. The Journal of Laryngology & Otology. 122(2). 188–192. 8 indexed citations
15.
Sarkar, Chandrani, Shamik Das, Debanjan Chakroborty, et al.. (2006). Cutting Edge: Stimulation of Dopamine D4 Receptors Induce T Cell Quiescence by Up-Regulating Kruppel-Like Factor-2 Expression through Inhibition of ERK1/ERK2 Phosphorylation. The Journal of Immunology. 177(11). 7525–7529. 67 indexed citations
16.
Basu, Sujit & Partha Dasgupta. (2000). Dopamine, a neurotransmitter, influences the immune system. Journal of Neuroimmunology. 102(2). 113–124. 283 indexed citations
17.
Basu, Sujit, et al.. (1999). Decreased Dopamine Receptor Expression and Its Second-Messenger cAMP in Malignant Human Colon Tissue. Digestive Diseases and Sciences. 44(5). 916–921. 34 indexed citations
18.
Basu, Sujit, et al.. (1997). Primary adenocarcinoma of the stomach associated with peripheral neurofibromatosis: Report of a case. Surgery Today. 27(1). 57–59. 9 indexed citations
19.
Basu, Sujit, et al.. (1995). Enhanced tumor growth in brain dopamine-depleted mice following 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) treatment. Journal of Neuroimmunology. 60(1-2). 1–8. 28 indexed citations
20.
Basu, Sujit, et al.. (1993). Uptake and biodistribution of dopamine in bone marrow, spleen and lymph nodes of normal and tumor bearing mice. Life Sciences. 53(5). 415–424. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David Pozo Breakdown of academic impact, for papers by Dana Hilt Breakdown of academic impact, for papers by Emmanuel Garcion Breakdown of academic impact, for papers by Didier Wion Breakdown of academic impact, for papers by István A. Krizbai Breakdown of academic impact, for papers by Elena Adinolfi Breakdown of academic impact, for papers by Yi Luo Breakdown of academic impact, for papers by Jean Sévigny Breakdown of academic impact, for papers by Hye‐Sun Kim Breakdown of academic impact, for papers by Ulrich Bogdahn
Rankless by CCL
2026