Tamar E. Boursalian

1.4k citations
18 papers · 1.2k · h-index 16

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

Tamar E. Boursalian

18 papers receiving 1.2k citations

Peers

Tamar E. Boursalian
Comparison fields: 5 of 81
  • Immunology 836
  • Oncology 201
  • Endocrine and Autonomic Systems 36
  • Hematology 57
  • Aging 9
Replace Yan Xing with:
Yan Xing China
Takamasa Oono Japan
Amanda M. Holland United States
Lynn Ogata United States
Esther Bandala‐Sanchez Australia
Peter C. Heinrich Germany
Wen-Hai Shao United States
Lan Shao China
Christopher Roman United States
Matthew Lovatt Singapore
Tamar E. Boursalian relative to Yan Xing China Yan Xing's profile →
Citations per field
00.5×
Yan Xing · 1×
Citations per year

Countries citing papers authored by Tamar E. Boursalian

Since Specialization
Citations

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

Fields of papers citing papers by Tamar E. Boursalian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamar E. Boursalian. 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 Tamar E. Boursalian. The network helps show where Tamar E. Boursalian may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004253
2 2006251
3 2013149
4 200095
5 199988
6 200870
7 200947
8 200439
9 200936
10 201734
11 199931
12 200322
13 201219
14 201617
15 202216
16 201015
17
T-cell development, survival, and signalling: A new concept of the role of self-peptide: Self-MHC complexes
199813
18 20115

About Tamar E. Boursalian

Tamar E. Boursalian is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Genetics, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers), Diabetes and associated disorders (3 papers), CAR-T cell therapy research (3 papers), Diabetes Management and Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (836 citations), Oncology (201 citations), Endocrine and Autonomic Systems (36 citations), Hematology (57 citations) and Aging (9 citations). Tamar E. Boursalian has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Pamela J. Fink, J. Scott Hale, Kim Bottomly, David M. Soper, Cristine J. Cooper, Jonathan L. Golob, Che‐Leung Law, Julie A. McEarchern, Iqbal S. Grewal and Ivy Suzuki. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, Clinical Cancer Research and Clinical 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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