MC Berndt

2.2k citations
35 papers · 1.7k · h-index 20

Impact in

Papers in

MC Berndt

35 papers receiving 1.7k citations

Peers

MC Berndt
Comparison fields: 5 of 90
  • Hematology 910
  • Immunology and Allergy 316
  • Immunology 278
  • Internal Medicine 36
  • Surgery 409
Replace Kenjiro Tanoue with:
Kenjiro Tanoue Japan
L F Brass United States
G.A. Marguerie United States
Masahiko Katayama Japan
Patrizia Marchese United States
Geoffrey I. Johnston United Kingdom
J N Wilcox United States
K. Vinod Vijayan United States
Eugene G. Levin United States
Imke C.A. Munnix Netherlands
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.
1994216
2 1987163
3 1987133
4 1988130
5 1994113
6 1996106
7 199081
8 199180
9 198575
10 199674
11 199670
12 198969
13 201467
14 198355
15 199944
16 200535
17 198633
18 199827
19 199524
20 198221

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 1.7k 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 (910 citations), Immunology and Allergy (316 citations), Immunology (278 citations), Internal Medicine (36 citations) and Surgery (409 citations). MC Berndt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include PA Castaldi, Robert K. Andrews, Martin L. Blakely, A P Dalmasso, F H Bach, Xiaoping Du, Gordon F. Burns, Angel F. López, Joan E.B. Fox and L.K. Anderson. Their work appears in journals such as Blood, Journal of Biological Chemistry, Thrombosis Research, Haemophilia and Pathology.

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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