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
    • CAR-T cell therapy research

Papers in

Tamar E. Boursalian

18 papers receiving 1.2k citations

Peers

Tamar E. Boursalian
Comparison fields: 5 of 85
  • Immunology 863
  • Oncology 210
  • Endocrine and Autonomic Systems 36
  • Hematology 59
  • Aging 9
Replace Sokol Haxhinasto with:
Sokol Haxhinasto United States
Yan Xing China
Takamasa Oono Japan
Lynn Ogata United States
Amanda M. Holland United States
Esther Bandala‐Sanchez Australia
Monica Leung United States
Ingrid C. Rulifson United States
Konstantin V. Salojin Canada
Sandra J. Saouaf United States
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Citations per field
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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 2006248
3 2013147
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 (12 papers), Immune Cell Function and Interaction (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (3 papers), Diabetes and associated disorders (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Immunology (863 citations), Oncology (210 citations), Endocrine and Autonomic Systems (36 citations), Hematology (59 citations) and Aging (9 citations). Tamar E. Boursalian has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Pamela J. Fink, J. Scott Hale, Kim Bottomly, David M. Soper, Jonathan L. Golob, Cristine J. Cooper, Che‐Leung Law, Iqbal S. Grewal, Julie A. McEarchern and Courtney Beers. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Clinical Cancer Research, Advances in experimental medicine and biology and Journal of Autoimmunity.

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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