Savely A. Sheetikov

400 citations
7 papers · 41 · h-index 5

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • CAR-T cell therapy research 2

Savely A. Sheetikov

6 papers receiving 37 citations

Peers

Savely A. Sheetikov
Comparison fields: 5 of 14
  • Immunology 19
  • Infectious Diseases 16
  • Oncology 12
  • Genetics 10
  • Hematology 3
Replace Takahiro Fukushima with:
Takahiro Fukushima Japan
Stephanie King United States
Kaori Nakayama‐Hosoya Japan
Ksenia V. Zornikova Russia
Kseniya Khamina Austria
Lindsay Kosack Austria
Antoine Guérin Australia
Faraz I. Zaidi United States
Aiquan Chang United States
Jean-Laurent Casanova United States
Savely A. Sheetikov relative to Takahiro Fukushima Japan Takahiro Fukushima's profile →
Citations per field
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Citations per year

Countries citing papers authored by Savely A. Sheetikov

Since Specialization
Citations

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

Fields of papers citing papers by Savely A. Sheetikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Savely A. Sheetikov. 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 Savely A. Sheetikov. The network helps show where Savely A. Sheetikov may publish in the future.

Co-authors

The 24 scholars most cited alongside Savely A. Sheetikov, 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 Savely A. Sheetikov Line = papers co-authored together Savely A. Sheetikov links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202210
2 20168
3 20237
4 20236
5 20235
6 20194
7 20161

About Savely A. Sheetikov

Savely A. Sheetikov is a scholar working on Immunology, Oncology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 7 papers that have together received 41 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (2 papers), Cytomegalovirus and herpesvirus research (1 paper), vaccines and immunoinformatics approaches (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Immunology (19 citations), Infectious Diseases (16 citations), Oncology (12 citations), Genetics (10 citations) and Hematology (3 citations). Savely A. Sheetikov has collaborated with scholars based in Russia, Israel and Tajikistan. Frequent co-authors include Grigory A. Efimov, Ksenia V. Zornikova, Ivan V. Zvyagin, Е. Н. Паровичникова, Aleksei Titov, Savchenko Vg, Ivan V. Kulakovskiy, Anna Kuchmiy, Mikhail A. Rubtsov and Dmitry V. Kuprash. Their work appears in journals such as Communications Biology, Cancers, International Journal of Molecular Sciences, PLoS ONE and Biochemistry (Moscow).

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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