M.K. Brenner

1.1k citations
32 papers · 661 · h-index 14

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 10
    • Viral-associated cancers and disorders 3
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 5

M.K. Brenner

32 papers receiving 637 citations

Peers

M.K. Brenner
Comparison fields: 5 of 58
  • Hematology 222
  • Oncology 220
  • Immunology 165
  • Genetics 78
  • Genetics 185
Replace Kiyoshi Watari with:
Kiyoshi Watari Japan
M. Alcorn United Kingdom
L Souza United States
Lujia Dong China
Terry Flood United Kingdom
Antonio Jiménez United States
BS Andersson United States
Alexandra Salmon France
Martin Göerner Germany
Sudhir Tauro United Kingdom
M.K. Brenner relative to Kiyoshi Watari Japan Kiyoshi Watari's profile →
Citations per field
00.5×1.5×1.9×
Kiyoshi Watari · 1×
Citations per year

Countries citing papers authored by M.K. Brenner

Since Specialization
Citations

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

Fields of papers citing papers by M.K. Brenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.K. Brenner. 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 M.K. Brenner. The network helps show where M.K. Brenner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001108
2 200766
3 200660
4 199249
5 200543
6 198939
7 198639
8 200437
9 198627
10 199023
11 200521
12
Use of gene marking in bone marrow transplantation.
199620
13 200016
14 200913
15 200613
16 200712
17 199810
18 201010
19 19869
20 19949

About M.K. Brenner

M.K. Brenner is a scholar working on Oncology, Immunology, Hematology, Genetics and Epidemiology, having authored 32 papers that have together received 661 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), CAR-T cell therapy research (10 papers), Virus-based gene therapy research (10 papers), Cytomegalovirus and herpesvirus research (9 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (222 citations), Oncology (220 citations), Immunology (165 citations), Genetics (78 citations) and Genetics (185 citations). M.K. Brenner has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include HE Heslop, Patricia Yotnda, H E Heslop, Helen E. Heslop, George Carrum, Cliona M. Rooney, André Lieber, Alan R. Davis, Dmitry M. Shayakhmetov and H. G. Prentice. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Human Gene Therapy, British Journal of Haematology and Cytotherapy.

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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