Susobhan Sarkar

1.8k total citations
29 papers, 1.3k citations indexed

About

Susobhan Sarkar is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Susobhan Sarkar has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Susobhan Sarkar's work include Immune cells in cancer (13 papers), Glioma Diagnosis and Treatment (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Susobhan Sarkar is often cited by papers focused on Immune cells in cancer (13 papers), Glioma Diagnosis and Treatment (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Susobhan Sarkar collaborates with scholars based in Canada, India and United States. Susobhan Sarkar's co-authors include V. Wee Yong, John J. Kelly, Reza Mirzaei, Candice C. Poon, Walter Hader, Franz J. Zemp, Stephen M. Robbins, Junfeng Zhang, Jing Zhang and Shuhong Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Susobhan Sarkar

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susobhan Sarkar Canada 19 564 429 409 381 264 29 1.3k
Garima Yagnik United States 15 540 1.0× 423 1.0× 579 1.4× 352 0.9× 176 0.7× 25 1.3k
Verlene Henry United States 14 468 0.8× 446 1.0× 544 1.3× 473 1.2× 104 0.4× 17 1.2k
Steffen Aulwurm Germany 13 619 1.1× 251 0.6× 599 1.5× 478 1.3× 113 0.4× 16 1.3k
Kyuson Yun United States 17 529 0.9× 355 0.8× 1.2k 2.9× 422 1.1× 104 0.4× 37 1.9k
Xian-Zong Ye China 7 441 0.8× 235 0.5× 345 0.8× 418 1.1× 126 0.5× 9 897
Fatima Khan United States 18 491 0.9× 214 0.5× 772 1.9× 566 1.5× 113 0.4× 38 1.6k
Serena Pellegatta Italy 27 748 1.3× 738 1.7× 986 2.4× 1.0k 2.7× 96 0.4× 69 2.3k
Manuela Silginer Switzerland 16 289 0.5× 361 0.8× 415 1.0× 344 0.9× 30 0.1× 31 1.0k
Joseph Gallagher United States 4 174 0.3× 364 0.8× 395 1.0× 491 1.3× 39 0.1× 5 901
Katarzyna C. Pituch United States 13 597 1.1× 316 0.7× 328 0.8× 414 1.1× 133 0.5× 16 1.1k

Countries citing papers authored by Susobhan Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Susobhan Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susobhan Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Susobhan Sarkar. A scholar is included among the top collaborators of Susobhan Sarkar 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 Susobhan Sarkar. Susobhan Sarkar 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.
Yang, Runze, Alastair Hamilton, Hongfu Sun, et al.. (2022). Detecting monocyte trafficking in an animal model of glioblastoma using R2* and quantitative susceptibility mapping. Cancer Immunology Immunotherapy. 72(3). 733–742. 2 indexed citations
2.
Ghorbani, Samira, Rajiv W. Jain, Brian M. Lozinski, et al.. (2022). Versican promotes T helper 17 cytotoxic inflammation and impedes oligodendrocyte precursor cell remyelination. Nature Communications. 13(1). 2445–2445. 34 indexed citations
3.
Mirzaei, Reza, Susobhan Sarkar, Mehul Kumar, et al.. (2021). Fibrinogen in the glioblastoma microenvironment contributes to the invasiveness of brain tumor‐initiating cells. Brain Pathology. 31(5). e12947–e12947. 22 indexed citations
4.
Sarkar, Susobhan, Reza Mirzaei, Khalil S. Rawji, et al.. (2020). Demeclocycline Reduces the Growth of Human Brain Tumor-Initiating Cells: Direct Activity and Through Monocytes. Frontiers in Immunology. 11. 272–272. 3 indexed citations
5.
Sarkar, Susobhan, Candice C. Poon, Reza Mirzaei, et al.. (2018). Microglia induces Gas1 expression in human brain tumor-initiating cells to reduce tumorigenecity. Scientific Reports. 8(1). 15286–15286. 9 indexed citations
6.
Sarkar, Susobhan, Reza Mirzaei, Franz J. Zemp, et al.. (2017). Activation of NOTCH Signaling by Tenascin-C Promotes Growth of Human Brain Tumor-Initiating Cells. Cancer Research. 77(12). 3231–3243. 56 indexed citations
7.
Poon, Candice C., Susobhan Sarkar, V. Wee Yong, & John J. Kelly. (2017). Glioblastoma-associated microglia and macrophages: targets for therapies to improve prognosis. Brain. 140(6). 1548–1560. 169 indexed citations
8.
Yang, Runze, et al.. (2016). MRI monitoring of monocytes to detect immune stimulating treatment response in brain tumor. Neuro-Oncology. 19(3). now180–now180. 20 indexed citations
9.
Mirzaei, Reza, Susobhan Sarkar, & V. Wee Yong. (2016). T Cell Exhaustion in Glioblastoma: Intricacies of Immune Checkpoints. Trends in Immunology. 38(2). 104–115. 103 indexed citations
10.
Sarkar, Susobhan, Franz J. Zemp, Donna L. Senger, Stephen M. Robbins, & V. Wee Yong. (2015). ADAM-9 is a novel mediator of tenascin-C-stimulated invasiveness of brain tumor–initiating cells. Neuro-Oncology. 17(8). 1095–1105. 52 indexed citations
11.
Nandi, Madhumita, et al.. (2015). Gitelman syndrome in an infant. SHILAP Revista de lepidopterología. 25(5). 316–316. 4 indexed citations
12.
Sarkar, Susobhan & V. Wee Yong. (2014). The battle for the brain. OncoImmunology. 3(3). e28047–e28047. 6 indexed citations
13.
Sarkar, Susobhan, Axinia Döring, Franz J. Zemp, et al.. (2013). Therapeutic activation of macrophages and microglia to suppress brain tumor-initiating cells. Nature Neuroscience. 17(1). 46–55. 165 indexed citations
14.
Sarkar, Susobhan & V. Wee Yong. (2009). Reduction of protein kinase C delta attenuates tenascin-C stimulated glioma invasion in three-dimensional matrix. Carcinogenesis. 31(2). 311–317. 21 indexed citations
15.
Sarkar, Susobhan & V. Wee Yong. (2008). Inflammatory cytokine modulation of matrix metalloproteinase expression and invasiveness of glioma cells in a 3-dimensional collagen matrix. Journal of Neuro-Oncology. 91(2). 157–164. 31 indexed citations
16.
Sarkar, Susobhan, Robert K. Nuttall, Shuhong Liu, Dylan R. Edwards, & V. Wee Yong. (2006). Tenascin-C Stimulates Glioma Cell Invasion through Matrix Metalloproteinase-12. Cancer Research. 66(24). 11771–11780. 112 indexed citations
17.
Zhang, Jing, Susobhan Sarkar, & V. Wee Yong. (2005). The chemokine stromal cell derived factor-1 (CXCL12) promotes glioma invasiveness through MT2-matrix metalloproteinase. Carcinogenesis. 26(12). 2069–2077. 69 indexed citations
18.
Sarkar, Susobhan, et al.. (2004). CD2-SLFA3/T11TS interaction facilitates immune activation and glioma regression by apoptosis. Cancer Biology & Therapy. 3(11). 1121–1128. 18 indexed citations
19.
Mukherjee, Joydeep, et al.. (2004). Immunotherapeutic effects of T11TS/S-LFA3 against nitrosocompound mediated neural genotoxicity. Toxicology Letters. 150(3). 239–257. 22 indexed citations
20.

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 Garima Yagnik Breakdown of academic impact, for papers by Verlene Henry Breakdown of academic impact, for papers by Steffen Aulwurm Breakdown of academic impact, for papers by Kyuson Yun Breakdown of academic impact, for papers by Xian-Zong Ye Breakdown of academic impact, for papers by Fatima Khan Breakdown of academic impact, for papers by Serena Pellegatta Breakdown of academic impact, for papers by Manuela Silginer Breakdown of academic impact, for papers by Joseph Gallagher Breakdown of academic impact, for papers by Katarzyna C. Pituch
Rankless by CCL
2026