Stephen E. Braun

1.6k citations
66 papers · 1.4k · h-index 20

Impact in

  • Virology top 5%
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • RNA Interference and Gene Delivery 5
    • CRISPR and Genetic Engineering 5
    • CAR-T cell therapy research 6
    • Cancer-related Molecular Pathways 5

Stephen E. Braun

64 papers receiving 1.3k citations

Peers

Stephen E. Braun
Comparison fields: 5 of 112
  • Virology 85
  • Immunology 333
  • Oncology 391
  • Hematology 160
  • Cell Biology 173
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Anthony Secreto United States
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Michael Hahne France
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Stephen E. Braun

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Braun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000115
2 1999103
3 1999100
4
Flt3-ligand production by human bone marrow stromal cells.
199697
5 199352
6 200752
7 201547
8 198542
9 201041
10 199839
11 199938
12
Molecular diagnosis of mucopolysaccharidosis type II (Hunter syndrome) by automated sequencing and computer-assisted interpretation: toward mutation mapping of the iduronate-2-sulfatase gene.
199537
13 199636
14 199934
15 199234
16 202127
17 201426
18 201825
19 201923
20
Antileukemic activity of Flt3 ligand in murine leukemia.
200023

About Stephen E. Braun

Stephen E. Braun is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Cell Biology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (6 papers), RNA Interference and Gene Delivery (5 papers), Lysosomal Storage Disorders Research (5 papers), Cancer-related Molecular Pathways (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Virology (85 citations), Immunology (333 citations), Oncology (391 citations), Hematology (160 citations) and Cell Biology (173 citations). Stephen E. Braun has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Hal E. Broxmeyer, Charlie Mantel, Octavian Henegariu, Suzanna Reid, Giao Hangoc, Kenneth Cornetta, C B Whitley, Elena L. Aronovich, John E. Mitchell and Chang H. Kim. Their work appears in journals such as Blood, Human Gene Therapy, Molecular Therapy, The Journal of Immunology and PLoS ONE.

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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