Dolgor Baatar

628 citations
9 papers · 502 · h-index 9

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 1
    • Chemokine receptors and signaling 2

Dolgor Baatar

9 papers receiving 497 citations

Peers

Dolgor Baatar
Comparison fields: 5 of 57
  • Immunology 315
  • Oncology 202
  • Hepatology 21
  • Dermatology 24
  • Immunology and Allergy 15
Replace Edith Graulich with:
Edith Graulich Germany
Fernando Díaz‐Espada Spain
Kentaro Yuge Japan
R L Moy United States
Kouji Kato Japan
Julie Duong United States
Elisabeth Sievers Germany
Karen Sielaff United States
Ivan Perrot France
Bohdan P. Harvey United States
Dolgor Baatar relative to Edith Graulich Germany Edith Graulich's profile →
Citations per field
00.5×1.7×
Edith Graulich · 1×
Citations per year

Countries citing papers authored by Dolgor Baatar

Since Specialization
Citations

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

Fields of papers citing papers by Dolgor Baatar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2009242
2 200779
3 200651
4 200730
5 200128
6 200725
7 200921
8 200915
9 200111

About Dolgor Baatar

Dolgor Baatar is a scholar working on Immunology, Oncology, Hepatology, Molecular Biology and Epidemiology, having authored 9 papers that have together received 502 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (3 papers), Liver Disease and Transplantation (2 papers), Chemokine receptors and signaling (2 papers), Cell Adhesion Molecules Research (1 paper), Galectins and Cancer Biology (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (315 citations), Oncology (202 citations), Hepatology (21 citations), Dermatology (24 citations) and Immunology and Allergy (15 citations). Dolgor Baatar has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Arya Biragyn, Purevdorj B. Olkhanud, Ronald E. Gress, Monica Bodogai, Susanne Briest, Jie Deng, Fran Hakim, Robin L. Anderson, Mai Xu and Dennis D. Taub. Their work appears in journals such as The Journal of Immunology, Clinical Cancer Research, Blood, Cancer Research and Hepatology.

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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