MC Berndt

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

Impact in

Papers in

MC Berndt

35 papers receiving 1.8k citations

Peers

MC Berndt
Comparison fields: 5 of 92
  • Hematology 970
  • Immunology and Allergy 346
  • Immunology 297
  • Internal Medicine 37
  • Surgery 439
Replace Kenjiro Tanoue with:
Kenjiro Tanoue Japan
Yoshiyuki Kurata Japan
Michael Cunningham United States
G.A. Marguerie United States
Patrizia Marchese United States
Masahiko Katayama Japan
J N Wilcox United States
K. Vinod Vijayan United States
Jocelyn M. Auger United Kingdom
Eugene G. Levin United States
MC Berndt relative to Kenjiro Tanoue Japan Kenjiro Tanoue's profile →
Citations per field
00.5×1.5×
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 35 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.
1994233
2 1987170
3 1988144
4 1987135
5 1996117
6 1994117
7 199089
8 198580
9 199180
10 199677
11 199676
12 198973
13 201469
14 198363
15 199945
16 198639
17 200538
18 199828
19 199526
20 198223

About MC Berndt

MC Berndt is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Immunology and Allergy and Genetics, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (23 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Blood groups and transfusion (7 papers), Cell Adhesion Molecules Research (7 papers), Blood disorders and treatments (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Blood properties and coagulation (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Hematology (970 citations), Immunology and Allergy (346 citations), Immunology (297 citations), Internal Medicine (37 citations) and Surgery (439 citations). MC Berndt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include PA Castaldi, Robert K. Andrews, F H Bach, Martin L. Blakely, A P Dalmasso, Gordon F. Burns, Xiaoping Du, Angel F. López, Joan E.B. Fox and L.K. Anderson. Their work appears in journals such as Blood, Journal of Biological Chemistry, The Journal of Cell Biology, British Journal of Haematology and The Journal of 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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