Ned Braunstein

4.2k citations
29 papers · 1.2k · h-index 19

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

Ned Braunstein

29 papers receiving 1.2k citations

Peers

Ned Braunstein
Comparison fields: 5 of 87
  • Immunology 955
  • Transplantation 24
  • Radiology, Nuclear Medicine and Imaging 199
  • Immunology and Allergy 47
  • Oncology 129
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Henry Hess Germany
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Citations per field
00.5×10×12.5×
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Citations per year

Countries citing papers authored by Ned Braunstein

Since Specialization
Citations

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

Fields of papers citing papers by Ned Braunstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998123
2 2001113
3 198798
4 199292
5 199180
6 199274
7 200169
8 199062
9 200058
10 199557
11 199654
12 198751
13 198642
14 199538
15 198632
16 200431
17 199227
18 199022
19 200118
20 199116

About Ned Braunstein

Ned Braunstein is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Molecular Biology and Biomedical Engineering, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (11 papers), Cell Adhesion Molecules Research (5 papers), Nanofabrication and Lithography Techniques (2 papers), Long-Term Effects of COVID-19 (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Immunology (955 citations), Transplantation (24 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Immunology and Allergy (47 citations) and Oncology (129 citations). Ned Braunstein has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Ronald N. Germain, Leonard Chess, Hong Jiang, R N Germain, Nicole Suciu‐Foca, Zhonghua Liu, Benvenuto Pernis, Robert Winchester, Noah Berkowitz and Bin Yu. Their work appears in journals such as The Journal of Immunology, Annals of Biomedical Engineering, Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and European Journal of 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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