Dmitriy Kolodin

3.0k citations
6 papers · 1.7k indexed · 1 hit paper · h-index 6

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
    • Exercise and Physiological Responses

Papers in

    • Immune Cell Function and Interaction 4
    • IL-33, ST2, and ILC Pathways 2
    • T-cell and B-cell Immunology 2

Dmitriy Kolodin

6 papers receiving 1.7k citations

Hit Papers

A Special Population of Regulatory T Cells Potentiates Muscle Repair 2013 · 909 citations
9092013202620172021250500750

Peers

Dmitriy Kolodin
Comparison fields: 5 of 95
  • Immunology 1.1k
  • Rehabilitation 136
  • Genetics 101
  • Physiology 188
  • Aging 12
Replace Wilson Kuswanto with:
Wilson Kuswanto United States
Marisella Panduro United States
Danping Huang China
Peggy Kirstetter France
Tien Peng United States
Manuela Gavina Italy
Tracy Heng Australia
Olga DelaRosa Spain
Jean L. Tan Australia
Judith Litvin United States
Dmitriy Kolodin relative to Wilson Kuswanto United States Wilson Kuswanto's profile →
Citations per field
00.5×1.5×
Wilson Kuswanto · 1×
Citations per year

Countries citing papers authored by Dmitriy Kolodin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitriy Kolodin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2015320
2 2015288
3 201410
4
A Special Population of Regulatory T Cells Potentiates Muscle Repair
Hit paper breakdown →
2013909
5 201236
6 2011105

About Dmitriy Kolodin

Dmitriy Kolodin is a scholar working on Immunology, Rehabilitation, Hematology, Biomaterials and Genetics, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (2 papers), T-cell and B-cell Immunology (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), Virus-based gene therapy research (1 paper), Diabetes and associated disorders (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (1.1k citations), Rehabilitation (136 citations), Genetics (101 citations), Physiology (188 citations) and Aging (12 citations). Dmitriy Kolodin has collaborated with scholars based in United States and Germany. Frequent co-authors include Diane Mathis, Christophe Benoıst, Amy J. Wagers, Dalia Burzyn, Young C. Jang, Jennifer L. Shadrach, Massimiliano Cerletti, Esen Sefik, Tze Guan Tan and Wilson Kuswanto. Their work appears in journals such as Cell Metabolism, Clinical Cancer Research, Cell, Science and Seminars 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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