Nikita Kotlov

3.5k citations
29 papers · 1.4k indexed · 2 hit papers · h-index 7

Nikita Kotlov

20 papers receiving 1.4k citations

Hit Papers

Conserved pan-cancer microenvironment subtypes predict re...7002020202620222024200400600

Peers

Nikita Kotlov
Comparison fields: 5 of 76
  • Pathology and Forensic Medicine 530
  • Oncology 739
  • Genetics 226
  • Cancer Research 316
  • Immunology 342
Replace Soo Jeong Nam with:
Soo Jeong Nam South Korea
So Young Kang South Korea
Stephanie Fink United States
Rebecca Senetta Italy
Fong Chun Chan Canada
Shelonitda Rose United States
Swen Weßendorf Germany
Mattias Berglund Sweden
Jean‐Michel Picquenot France
Bruce W. Woolcock Canada
Nikita Kotlov relative to Soo Jeong Nam South Korea Soo Jeong Nam's profile →
Citations per field
00.5×1.5×2.2×
Soo Jeong Nam · 1×
Citations per year

Countries citing papers authored by Nikita Kotlov

Since Specialization
Citations

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

Fields of papers citing papers by Nikita Kotlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nikita Kotlov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nikita Kotlov Line = papers co-authored together Nikita Kotlov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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15 202119
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Conserved pan-cancer microenvironment subtypes predict response to immunotherapybreakdown →
2021700
17 202116
18 20210
19
A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implicationsbreakdown →
2020583
20 202020

About Nikita Kotlov

Nikita Kotlov is a scholar working on Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (11 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Ferroptosis and cancer prognosis (5 papers), CAR-T cell therapy research (3 papers), Breast Cancer Treatment Studies (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (530 citations), Oncology (739 citations) and Genetics (226 citations). Nikita Kotlov has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Alexander Bagaev, Krystle Nomie, Nathan Fowler, Azamat Gafurov, Maria Tsiper, Ravshan Ataullakhanov, Felix Frenkel, Nava Almog, Olga Gancharova and Viktor Svekolkin. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.

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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