Maxim Shevtsov

4.3k citations
142 papers · 3.2k · 1 hit paper · h-index 32

Impact in

Papers in

    • Heat shock proteins research 45
    • ATP Synthase and ATPases Research 9
    • Protein Structure and Dynamics 7
    • Bone Tissue Engineering Materials 14
    • Nanoplatforms for cancer theranostics 12

Maxim Shevtsov

129 papers receiving 3.1k citations

Maxim Shevtsov's Hit Papers

Nanoparticle Vaccines Against Infectious Diseases 2018 · 405 citations
4050+2+5Years since publication100200300400

Peers

Maxim Shevtsov
Comparison fields: 5 of 128
  • Biomaterials 693
  • Immunology 613
  • Biomedical Engineering 973
  • Molecular Biology 1.3k
  • Structural Biology 28
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Maxim Shevtsov relative to Gustavo Helguera United States Gustavo Helguera's profile →
Citations per field
00.5×4.9×
Gustavo Helguera · 1×
Citations per year

Countries citing papers authored by Maxim Shevtsov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Shevtsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maxim Shevtsov, 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 Maxim Shevtsov Line = papers co-authored together Maxim Shevtsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nanoparticle Vaccines Against Infectious Diseases
Hit paper breakdown →
2018405
2 2016155
3 2019137
4 2014120
5 2020111
6 202180
7 201778
8 201876
9 201571
10 201565
11 202063
12 201953
13 201352
14 201951
15 201350
16 201946
17 202345
18 201445
19 201645
20 202241

About Maxim Shevtsov

Maxim Shevtsov is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Cell Biology and Materials Chemistry, having authored 142 papers that have together received 3.2k indexed citations. Recurring topics across this work include Heat shock proteins research (45 papers), Nanoparticle-Based Drug Delivery (22 papers), Bone Tissue Engineering Materials (14 papers), Endoplasmic Reticulum Stress and Disease (13 papers), Nanoplatforms for cancer theranostics (12 papers), thermodynamics and calorimetric analyses (10 papers), ATP Synthase and ATPases Research (9 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Biomaterials (693 citations), Immunology (613 citations), Biomedical Engineering (973 citations), Molecular Biology (1.3k citations) and Structural Biology (28 citations). Maxim Shevtsov has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Gabriele Multhoff, Rashmirekha Pati, Avinash Sonawane, Huile Gao, B. P. Nikolaev, L. Yakovleva, Irina V. Guzhova, А. В. Добродумов, Yaroslav Marchenko and Atsushi Shibata. Their work appears in journals such as Cells, Nanomaterials, Neuro-Oncology, International Journal of Nanomedicine and Frontiers in Immunology.

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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