Shusil K. Pandit

910 total citations
9 papers, 546 citations indexed

About

Shusil K. Pandit is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Shusil K. Pandit has authored 9 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Surgery. Recurrent topics in Shusil K. Pandit's work include Cancer-related Molecular Pathways (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Microtubule and mitosis dynamics (2 papers). Shusil K. Pandit is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Microtubule and mitosis dynamics (2 papers). Shusil K. Pandit collaborates with scholars based in Netherlands, United States and Switzerland. Shusil K. Pandit's co-authors include Alain de Bruin, Bart Westendorp, M.J.M. Toussaint, Sathidpak Nantasanti, Wouter H. Lamers, Peter C.J. Tooten, Cong Ran, Edward Li, Chang‐Gong Liu and Whitney M. Cleghorn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and Cancer Research.

In The Last Decade

Shusil K. Pandit

9 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shusil K. Pandit Netherlands	7	359	186	115	86	59	9	546
Chandrahas Koumar Ratnacaram India	8	338 0.9×	123 0.7×	138 1.2×	83 1.0×	33 0.6×	10	498
Xiaopeng Cui China	17	470 1.3×	137 0.7×	62 0.5×	244 2.8×	32 0.5×	35	676
Liang-Ping Xia China	9	206 0.6×	181 1.0×	102 0.9×	77 0.9×	23 0.4×	13	424
Dragana Kopanja United States	16	624 1.7×	230 1.2×	66 0.6×	136 1.6×	34 0.6×	20	739
Sarah Sabir United Kingdom	6	354 1.0×	163 0.9×	174 1.5×	76 0.9×	11 0.2×	6	540
Arnaud Gandillet United Kingdom	12	419 1.2×	91 0.5×	133 1.2×	50 0.6×	102 1.7×	12	644
Yeo-Jin Jeon South Korea	7	235 0.7×	73 0.4×	28 0.2×	90 1.0×	28 0.5×	8	366
Mark Wasner Germany	8	390 1.1×	213 1.1×	65 0.6×	81 0.9×	17 0.3×	8	485
Amy E. Hanlon Newell United States	11	489 1.4×	135 0.7×	289 2.5×	190 2.2×	144 2.4×	17	858
Claudia Perrera Italy	12	396 1.1×	252 1.4×	106 0.9×	172 2.0×	23 0.4×	16	659

Countries citing papers authored by Shusil K. Pandit

Since Specialization

Citations

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

Fields of papers citing papers by Shusil K. Pandit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shusil K. Pandit. 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 Shusil K. Pandit. The network helps show where Shusil K. Pandit may publish in the future.

Co-authorship network of co-authors of Shusil K. Pandit

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

All Works

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9 of 9 papers shown

Zhu, Yahui, Albert Nguyen, Shusil K. Pandit, et al.. (2023). Angiotensin II receptor inhibition ameliorates liver fibrosis and enhances hepatocellular carcinoma infiltration by effector T cells. Proceedings of the National Academy of Sciences. 120(19). e2300706120–e2300706120. 25 indexed citations

Pandit, Shusil K., Jessica Merulla, Xin Wang, et al.. (2021). Mitochondrial Plasticity Promotes Resistance to Sorafenib and Vulnerability to STAT3 Inhibition in Human Hepatocellular Carcinoma. Cancers. 13(23). 6029–6029. 10 indexed citations

Pandit, Shusil K., M.J.M. Toussaint, Laura Bongiovanni, et al.. (2021). Atypical E2Fs either Counteract or Cooperate with RB during Tumorigenesis Depending on Tissue Context. Cancers. 13(9). 2033–2033. 6 indexed citations

Civenni, Gianluca, Martina Marchetti‐Deschmann, Shusil K. Pandit, et al.. (2017). Abstract 2900: Sigma-1 receptor control tumorigenic and stem cell-like phenotype in human cancers. Cancer Research. 77(13_Supplement). 2900–2900. 1 indexed citations

Genini, Davide, Erik Laurini, Jessica Merulla, et al.. (2017). Mitochondrial dysfunction induced by a SH2 domain-targeting STAT3 inhibitor leads to metabolic synthetic lethality in cancer cells. Proceedings of the National Academy of Sciences. 114(25). E4924–E4933. 88 indexed citations

Toussaint, M.J.M., Klaas M. Govaert, Sathidpak Nantasanti, et al.. (2016). Surgical resection and radiofrequency ablation initiate cancer in cytokeratin-19+- liver cells deficient for p53 and Rb. Oncotarget. 7(34). 54662–54675. 1 indexed citations

Pandit, Shusil K., Bart Westendorp, & Alain de Bruin. (2013). Physiological significance of polyploidization in mammalian cells. Trends in Cell Biology. 23(11). 556–566. 121 indexed citations

Pandit, Shusil K., Bart Westendorp, Sathidpak Nantasanti, et al.. (2012). E2F8 is essential for polyploidization in mammalian cells. Nature Cell Biology. 14(11). 1181–1191. 124 indexed citations

Li, Jing, Cong Ran, Edward Li, et al.. (2008). Synergistic Function of E2F7 and E2F8 Is Essential for Cell Survival and Embryonic Development. Developmental Cell. 14(1). 62–75. 170 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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