Brian D. Brown

17.7k citations
82 papers · 7.4k indexed · 3 hit papers · h-index 40
  • Immunology top 0.5%
    • Immunotherapy and Immune Responses 19
    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 11
    • MicroRNA in disease regulation 16
    • RNA Interference and Gene Delivery 18
  • Oncology top 2%
    • CAR-T cell therapy research 18
    • Cancer Immunotherapy and Biomarkers 9
  • Genetics top 1%
    • Virus-based gene therapy research 16

Brian D. Brown

81 papers receiving 7.3k citations

Hit Papers

Cancer vaccines: the ne...5532012202620162021100200300400500

Peers

Brian D. Brown
Comparison fields: 5 of 133
  • Immunology 2.7k
  • Cancer Research 1.7k
  • Molecular Biology 4.1k
  • Oncology 1.6k
  • Genetics 1.4k
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Citations per field
00.5×2.5×
Søren Warming · 1×
Citations per year

Countries citing papers authored by Brian D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Brown. 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 Brian D. Brown. The network helps show where Brian D. Brown may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20243
3 202430
4 20239
5 202238
6
Cancer vaccines: the next immunotherapy frontierbreakdown →
2022553
7 202269
8 20225
9 2021125
10 202140
11 201913
12 201922
13 201872
14 201899
15 2018173
16 20171
17 201565
18 201035
19 200958
20 2007194

About Brian D. Brown

Brian D. Brown is a scholar working on Immunology, Cancer Research, Oncology, Hematology and Genetics, having authored 82 papers that have together received 7.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), RNA Interference and Gene Delivery (18 papers), CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (17 papers), Virus-based gene therapy research (16 papers), MicroRNA in disease regulation (16 papers), T-cell and B-cell Immunology (11 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Immunology (2.7k citations), Cancer Research (1.7k citations), Molecular Biology (4.1k citations), Oncology (1.6k citations) and Genetics (1.4k citations). Brian D. Brown has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Luigi Naldini, Miriam Mérad, Alessia Baccarini, Lucia Sergi Sergi, Anna Zingale, Ravi Sachidanandam, Joshua Brody, Andrew Chow, Anitha D. Jayaprakash and Judit Svensson‐Arvelund. Their work appears in journals such as Blood, Immunity, Molecular Therapy, Nature Communications and Cancer Discovery.

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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