M.K. Brenner

1.1k citations
31 papers · 616 indexed · h-index 14

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 9
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5

M.K. Brenner

31 papers receiving 600 citations

Peers

M.K. Brenner
Comparison fields: 5 of 56
  • Hematology 221
  • Oncology 241
  • Immunology 166
  • Genetics 75
  • Genetics 185
Replace M. Alcorn with:
M. Alcorn United Kingdom
Lujia Dong China
G Tricot United States
S Cayeux Germany
Martin Göerner Germany
Masuji Yamamoto Japan
Heidrun Boztug Austria
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T Grünberger Canada
Barbara H. Barendregt Netherlands
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Citations per field
00.5×3.5×
M. Alcorn · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001105
2 200757
3 200656
4 199245
5 200541
6 198938
7 200437
8 198636
9 198626
10 199022
11 200521
12
Use of gene marking in bone marrow transplantation.
199617
13 200016
14 200613
15 200913
16 200711
17 201010
18 19989
19 19869
20 19948

About M.K. Brenner

M.K. Brenner is a scholar working on Hematology, Immunology, Oncology, Genetics and Epidemiology, having authored 31 papers that have together received 616 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), CAR-T cell therapy research (10 papers), Hematopoietic Stem Cell Transplantation (9 papers), Cytomegalovirus and herpesvirus research (9 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (221 citations), Oncology (241 citations), Immunology (166 citations), Genetics (75 citations) and Genetics (185 citations). M.K. Brenner has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include HE Heslop, Patricia Yotnda, Helen E. Heslop, George Carrum, H E Heslop, André Lieber, Dmitry M. Shayakhmetov, Alan R. Davis, Cliona M. Rooney and Catherine M. Bollard. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Human Gene Therapy, Bone Marrow Transplantation, British Journal of Haematology and 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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