Maksim Sinyuk

17 papers and 736 indexed citations i.

About

Maksim Sinyuk is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Maksim Sinyuk has authored 17 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Maksim Sinyuk’s work include Immune cells in cancer (5 papers), Glioma Diagnosis and Treatment (5 papers) and Cancer Cells and Metastasis (5 papers). Maksim Sinyuk is often cited by papers focused on Immune cells in cancer (5 papers), Glioma Diagnosis and Treatment (5 papers) and Cancer Cells and Metastasis (5 papers). Maksim Sinyuk collaborates with scholars based in United States, Denmark and Brazil. Maksim Sinyuk's co-authors include Justin D. Lathia, Erin E. Mulkearns-Hubert, Jeremy N. Rich, Alvaro G. Alvarado, Michael A. Vogelbaum, Manmeet S. Ahluwalia, James S. Hale, Ofer Reizes, Daniel J. Silver and Huiping Liu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maksim Sinyuk i

Fields of papers citing papers by Maksim Sinyuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maksim Sinyuk

Since Specialization
Citations

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

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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2025