MC Berndt

2.2k citations
33 papers · 1.9k · h-index 20

Impact in

Papers in

MC Berndt

33 papers receiving 1.8k citations

Peers

MC Berndt
Comparison fields: 5 of 93
  • Hematology 992
  • Immunology and Allergy 338
  • Immunology 301
  • Genetics 117
  • Internal Medicine 37
Replace Kenjiro Tanoue with:
Kenjiro Tanoue Japan
Michael C. Cunningham United States
David A. Wilcox United States
Patrizia Marchese United States
Geoffrey I. Johnston United Kingdom
Masahiko Katayama Japan
Josiah N. Wilcox United States
Tanja Schönberger Germany
Eugene G. Levin United States
Gijsbert van Willigen Netherlands
MC Berndt relative to Kenjiro Tanoue Japan Kenjiro Tanoue's profile →
Citations per field
00.5×1.5×2.1×
Kenjiro Tanoue · 1×
Citations per year

Countries citing papers authored by MC Berndt

Since Specialization
Citations

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

Fields of papers citing papers by MC Berndt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Activation of intragraft endothelial and mononuclear cells during discordant xenograft rejection.
1994235
2 1987170
3 1988145
4 1987135
5 1994120
6 1996118
7 199089
8 201184
9 198582
10 199678
11 199678
12 201472
13 198972
14 198365
15 199942
16 200540
17 198639
18 199828
19 199526
20 198223

About MC Berndt

MC Berndt is a scholar working on Hematology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Immunology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (21 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Blood groups and transfusion (7 papers), Cell Adhesion Molecules Research (7 papers), Blood disorders and treatments (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Hematology (992 citations), Immunology and Allergy (338 citations), Immunology (301 citations), Genetics (117 citations) and Internal Medicine (37 citations). MC Berndt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include PA Castaldi, Robert K. Andrews, A P Dalmasso, F H Bach, Martin L. Blakely, Gordon F. Burns, Xiaoping Du, Angel Francisco Lopez, L.K. Anderson and Joan E.B. Fox. Their work appears in journals such as Blood, Journal of Biological Chemistry, Pathology, The Journal of Cell Biology and Haemophilia.

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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