Ivan S. Kotchetkov

792 total citations
18 papers, 565 citations indexed

About

Ivan S. Kotchetkov is a scholar working on Oncology, Neurology and Genetics. According to data from OpenAlex, Ivan S. Kotchetkov has authored 18 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Neurology and 3 papers in Genetics. Recurrent topics in Ivan S. Kotchetkov's work include CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (3 papers) and Brain Metastases and Treatment (2 papers). Ivan S. Kotchetkov is often cited by papers focused on CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (3 papers) and Brain Metastases and Treatment (2 papers). Ivan S. Kotchetkov collaborates with scholars based in United States, Sweden and Norway. Ivan S. Kotchetkov's co-authors include E. Sander Connolly, Andrew F. Ducruet, Christopher P. Kellner, Zachary L. Hickman, Brad E. Zacharia, Bartosz T. Grobelny, Peter DeRosa, Brian Y. Hwang, Geoffrey Appelboom and Raqeeb Haque and has published in prestigious journals such as Nature, Cell and SHILAP Revista de lepidopterología.

In The Last Decade

Ivan S. Kotchetkov

17 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan S. Kotchetkov United States 10 312 104 101 83 79 18 565
Alexander Ksendzovsky United States 15 151 0.5× 164 1.6× 120 1.2× 73 0.9× 50 0.6× 40 658
Morinobu Seki Japan 15 609 2.0× 97 0.9× 142 1.4× 75 0.9× 37 0.5× 47 810
Wilhelm Eisner Austria 14 184 0.6× 136 1.3× 70 0.7× 95 1.1× 38 0.5× 23 553
Thomas Sauvigny Germany 14 204 0.7× 67 0.6× 73 0.7× 57 0.7× 50 0.6× 43 469
Hideo Mure Japan 12 461 1.5× 184 1.8× 125 1.2× 91 1.1× 26 0.3× 28 690
Gaetano Perrotta Belgium 11 248 0.8× 89 0.9× 152 1.5× 43 0.5× 46 0.6× 20 656
Mahmoud Charif France 13 333 1.1× 31 0.3× 77 0.8× 98 1.2× 54 0.7× 38 549
Pedro Roldán Spain 17 275 0.9× 128 1.2× 111 1.1× 71 0.9× 68 0.9× 91 871
Piercarlo Fania Italy 13 470 1.5× 92 0.9× 84 0.8× 44 0.5× 67 0.8× 23 712
Takehiro Uda Japan 14 133 0.4× 200 1.9× 85 0.8× 104 1.3× 64 0.8× 84 849

Countries citing papers authored by Ivan S. Kotchetkov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan S. Kotchetkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan S. Kotchetkov. 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 Ivan S. Kotchetkov. The network helps show where Ivan S. Kotchetkov may publish in the future.

Co-authorship network of co-authors of Ivan S. Kotchetkov

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

All Works

18 of 18 papers shown
1.
Perica, Karlo, Ivan S. Kotchetkov, Jorge Mansilla‐Soto, et al.. (2025). HIV immune evasin Nef enhances allogeneic CAR T cell potency. Nature. 640(8059). 793–801. 8 indexed citations
2.
Lopez, Michael, Ivan S. Kotchetkov, Leena Halim, et al.. (2025). pTα enhances mRNA translation and potentiates CAR T cells for solid tumor eradication. Cell. 189(2). 401–417.e21.
3.
Sætersmoen, Michelle, Ivan S. Kotchetkov, Jorge Mansilla‐Soto, et al.. (2024). Targeting HLA-E-overexpressing cancers with a NKG2A/C switch receptor. Med. 6(2). 100521–100521. 6 indexed citations
4.
Sætersmoen, Michelle, et al.. (2023). 512 Targeting HLA-E positive cancers with a novel NKG2A/C switch receptor. SHILAP Revista de lepidopterología. A578–A578. 2 indexed citations
5.
Kotchetkov, Ivan S., Anna Skakodub, Robert J. Young, et al.. (2022). Quantitative assessment of circulating tumor cells in cerebrospinal fluid as a clinical tool to predict survival in leptomeningeal metastases. Journal of Neuro-Oncology. 157(1). 81–90. 24 indexed citations
6.
Freund, Brin, Ivan S. Kotchetkov, & Peter W. Kaplan. (2021). White Matter Disease—The True Source of Triphasic Waves?. Journal of Clinical Neurophysiology. 38(5). 359–361. 2 indexed citations
7.
López-Bertoni, Hernando, Ivan S. Kotchetkov, Bachchu Lal, et al.. (2020). A Sox2:miR-486-5p Axis Regulates Survival of GBM Cells by Inhibiting Tumor Suppressor Networks. Cancer Research. 80(8). 1644–1655. 39 indexed citations
8.
Kotchetkov, Ivan S., Brin Freund, Khalil S. Husari, & Peter W. Kaplan. (2020). In the Kingdom of Triphasic Waves, White Matter Is the Eminence Grise. Journal of Clinical Neurophysiology. 38(6). 547–552. 5 indexed citations
9.
Singh, Priya, Ivan S. Kotchetkov, Anna Skakodub, et al.. (2020). BIOM-05. CIRCULATING TUMOR CELLS (CTC) IN CEREBROSPINAL FLUID (CSF) AS A PREDICTOR OF SURVIVAL IN CNS METASTASES. Neuro-Oncology. 22(Supplement_2). ii2–ii2. 1 indexed citations
10.
Freund, Brin, et al.. (2019). The Efficacy of Botulinum Toxin in Cluster Headache: A Systematic Review. Journal of Oral & Facial Pain and Headache. 34(2). 129–134. 13 indexed citations
11.
Sohur, U. Shivraj, Hari Padmanabhan, Ivan S. Kotchetkov, João R.L. Menezes, & Jeffrey D. Macklis. (2012). Anatomic and Molecular Development of Corticostriatal Projection Neurons in Mice. Cerebral Cortex. 24(2). 293–303. 69 indexed citations
12.
Starke, Robert M., Ricardo J. Komotar, Brian Y. Hwang, et al.. (2011). Role of Fever in Ventriculoperitoneal Shunt Placement After Aneurysmal Subarachnoid Hemorrhage. Neurosurgery. 70(6). 1361–1368. 2 indexed citations
13.
Anderson, Richard C. E., Michael M. McDowell, Christopher P. Kellner, et al.. (2011). Arteriovenous malformation–associated aneurysms in the pediatric population. Journal of Neurosurgery Pediatrics. 9(1). 11–16. 20 indexed citations
14.
Grobelny, Bartosz T., Andrew F. Ducruet, Peter DeRosa, et al.. (2011). Gain-of-function polymorphisms of cystathionine β-synthase and delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage. Journal of neurosurgery. 115(1). 101–107. 19 indexed citations
15.
Kotchetkov, Ivan S., Brian Y. Hwang, Geoffrey Appelboom, Christopher P. Kellner, & E. Sander Connolly. (2010). Brain-computer interfaces: military, neurosurgical, and ethical perspective. Neurosurgical FOCUS. 28(5). E25–E25. 54 indexed citations
16.
Hwang, Brian Y., Geoffrey Appelboom, Amit Ayer, et al.. (2010). Advances in Neuroprotective Strategies: Potential Therapies for Intracerebral Hemorrhage. Cerebrovascular Diseases. 31(3). 211–222. 103 indexed citations
17.
Gigante, Paul R., Ivan S. Kotchetkov, Christopher P. Kellner, et al.. (2010). Polymorphisms in complement component 3 (C3F) and complement factor H (Y402H) increase the risk of postoperative neurocognitive dysfunction following carotid endarterectomy. Journal of Neurology Neurosurgery & Psychiatry. 82(3). 247–253. 25 indexed citations
18.
Zacharia, Brad E., Zachary L. Hickman, Bartosz T. Grobelny, et al.. (2010). Epidemiology of Aneurysmal Subarachnoid Hemorrhage. Neurosurgery Clinics of North America. 21(2). 221–233. 173 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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