Seema Kantak

1.2k total citations
19 papers, 659 citations indexed

About

Seema Kantak is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Seema Kantak has authored 19 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology and Allergy. Recurrent topics in Seema Kantak's work include Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Seema Kantak is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Seema Kantak collaborates with scholars based in United States, Greece and Germany. Seema Kantak's co-authors include Randall H. Kramer, James M. Onoda, Johnny Yin, Clement A. Diglio, Amer M. Mirza, John Hunter, Hassan Issafras, Sandra Vanegas, Vinay Bhaskar and Kenji Kawano and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Seema Kantak

18 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seema Kantak United States 9 355 197 121 110 92 19 659
Sebastian Dütting Germany 12 256 0.7× 179 0.9× 160 1.3× 51 0.5× 98 1.1× 18 846
Thomas Pap Switzerland 6 246 0.7× 191 1.0× 144 1.2× 47 0.4× 40 0.4× 7 689
Daniela Belloni Italy 16 362 1.0× 152 0.8× 234 1.9× 74 0.7× 91 1.0× 27 810
Michael J. Prinsen United States 7 398 1.1× 94 0.5× 111 0.9× 182 1.7× 170 1.8× 10 911
Qin Zen United States 9 312 0.9× 161 0.8× 352 2.9× 50 0.5× 72 0.8× 10 961
Chisato Tanaka Japan 12 197 0.6× 137 0.7× 149 1.2× 176 1.6× 51 0.6× 19 637
Fiona Zhong United States 9 309 0.9× 376 1.9× 258 2.1× 38 0.3× 68 0.7× 13 908
Jian Kang China 17 315 0.9× 129 0.7× 100 0.8× 65 0.6× 54 0.6× 42 617
Mayumi Yagi United States 18 491 1.4× 159 0.8× 58 0.5× 43 0.4× 60 0.7× 32 1.0k
Alejandro Morales United States 12 170 0.5× 121 0.6× 77 0.6× 101 0.9× 59 0.6× 27 640

Countries citing papers authored by Seema Kantak

Since Specialization
Citations

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

Fields of papers citing papers by Seema Kantak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Kantak

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

All Works

19 of 19 papers shown
1.
Mendelsohn, Brian A., Kathleen R. Gogas, Jeffrey N. Higaki, et al.. (2025). Preclinical Characterization of XB010: A Novel Antibody–Drug Conjugate for the Treatment of Solid Tumors that Targets Tumor-Associated Antigen 5T4. Molecular Cancer Therapeutics. 24(12). 1856–1866. 1 indexed citations
2.
Sim, Bee-Cheng, et al.. (2025). Abstract 6067: Preclinical evaluation of XB628: A novel PD-L1 x NKG2A bispecific antibody. Cancer Research. 85(8_Supplement_1). 6067–6067.
3.
Kantak, Seema, Raffaella Faggioni, Inna Vainshtein, et al.. (2024). Preclinical Characterization of XB002, an Anti–Tissue Factor Antibody–Drug Conjugate for the Treatment of Solid Tumors. Molecular Cancer Therapeutics. 24(2). 251–260. 1 indexed citations
4.
Kantak, Seema, Steve Lee, Murali K. Addepalli, et al.. (2014). Combination between a long-acting engineered cytokine (NKTR-214) and checkpoint inhibitors anti-CTLA-4 or anti-PD1 in murine tumor models.. Journal of Clinical Oncology. 32(15_suppl). 3082–3082. 1 indexed citations
5.
Bhaskar, Vinay, Johnny Yin, Amer M. Mirza, et al.. (2011). Monoclonal antibodies targeting IL-1 beta reduce biomarkers of atherosclerosis in vitro and inhibit atherosclerotic plaque formation in Apolipoprotein E-deficient mice. Atherosclerosis. 216(2). 313–320. 177 indexed citations
6.
Owyang, Alexander M., Kathrin Maedler, Lisa Groß, et al.. (2010). XOMA 052, an Anti-IL-1β Monoclonal Antibody, Improves Glucose Control and β-Cell Function in the Diet-Induced Obesity Mouse Model. The Journal of Clinical Endocrinology & Metabolism. 95(4). 2005–2005. 1 indexed citations
7.
Owyang, Alexander M., Kathrin Maedler, Lisa Groß, et al.. (2010). XOMA 052, an Anti-IL-1β Monoclonal Antibody, Improves Glucose Control and β-Cell Function in the Diet-Induced Obesity Mouse Model. Endocrinology. 151(6). 2515–2527. 73 indexed citations
8.
Vanegas, Sandra, Linda Masat, Paul D. Larsen, et al.. (2008). Sa.56. Efficacy Of XOMA 052 Anti-IL-1β Antibody In The DBA/1 Mouse Collagen-Induced Arthritis Model. Clinical Immunology. 127. S98–S99. 1 indexed citations
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Vizirianakis, Ioannis S., Yaoqi Chen, Seema Kantak, Asterios S. Tsiftsoglou, & Randall H. Kramer. (2002). Dominant-negative E-cadherin alters adhesion and reverses contact inhibition of growth in breast carcinoma cells. International Journal of Oncology. 21(1). 135–44. 23 indexed citations
13.
Kawano, Kenji, et al.. (2001). Integrin α3β1 Engagement Disrupts Intercellular Adhesion. Experimental Cell Research. 262(2). 180–196. 55 indexed citations
14.
Onoda, James M., Seema Kantak, & Clement A. Diglio. (1999). Radiation induced endothelial cell retraction in vitro: Correlation with acute pulmonary edema. Pathology & Oncology Research. 5(1). 49–55. 35 indexed citations
15.
Kantak, Seema & Randall H. Kramer. (1998). E-cadherin Regulates Anchorage-independent Growth and Survival in Oral Squamous Cell Carcinoma Cells. Journal of Biological Chemistry. 273(27). 16953–16961. 197 indexed citations
16.
Drab, E. A., et al.. (1996). WR-1065 and Radioprotection of Vascular Endothelial Cells. II. Morphology. Radiation Research. 145(2). 217–217. 25 indexed citations
17.
Onoda, James M., Seema Kantak, Marie P. Piechocki, et al.. (1994). Inhibition of Radiation-Enhanced Expression of Integrin and Metastatic Potential in B16 Melanoma Cells by a Lipoxygenase Inhibitor. Radiation Research. 140(3). 410–410. 19 indexed citations
18.
Kantak, Seema, Clement A. Diglio, & James M. Onoda. (1993). Low Dose Radiation-induced Endothelial Cell Retraction. International Journal of Radiation Biology. 64(3). 319–328. 34 indexed citations
19.
Piechocki, Marie P., Seema Kantak, & James M. Onoda. (1992). TPA-induced differentiation of rat aortic endothelial cells is substrate-specific and receptor mediated. Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions. 61. 152–157. 1 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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