Natalie Bezman

3.2k citations
45 papers · 2.2k · h-index 25

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
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • Immune Cell Function and Interaction 23
    • T-cell and B-cell Immunology 14
    • Immunotherapy and Immune Responses 6
    • Multiple Myeloma Research and Treatments 9

Natalie Bezman

44 papers receiving 2.2k citations

Peers

Natalie Bezman
Comparison fields: 5 of 95
  • Immunology 1.3k
  • Hematology 322
  • Cancer Research 411
  • Immunology and Allergy 121
  • Oncology 522
Replace Laurence Lamy with:
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Viia Valge-Archer United Kingdom
Maya Dajee United States
Yu-Chung Yang United States
Karen Clise-Dwyer United States
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Citations per field
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Citations per year

Countries citing papers authored by Natalie Bezman

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Bezman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012242
2 2012212
3 2011187
4 2002152
5 2011111
6 2010104
7 200791
8 201391
9 200689
10 201475
11 201870
12 202167
13 201764
14 200663
15 200451
16 201351
17 202150
18 200946
19 200742
20 201742

About Natalie Bezman

Natalie Bezman is a scholar working on Immunology, Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Multiple Myeloma Research and Treatments (9 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), MicroRNA in disease regulation (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology (1.3k citations), Hematology (322 citations), Cancer Research (411 citations), Immunology and Allergy (121 citations) and Oncology (522 citations). Natalie Bezman has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include Lewis L. Lanier, Joseph C. Sun, Joshua Beilke, Sharline Madera, Tirtha Chakraborty, Gary A. Koretzky, Timothy P. Bender, Mark H. Kaplan, Gundula Min‐Oo and Jeremy Thorner. Their work appears in journals such as Cancer Research, The Journal of Immunology, The Journal of Experimental Medicine, Immunological Reviews and Cancers.

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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