MC Berndt

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

MC Berndt

35 papers receiving 1.7k citations

Peers

MC Berndt
Comparison fields: 5 of 93
  • Hematology 942
  • Immunology and Allergy 329
  • Immunology 301
  • Internal Medicine 42
  • Genetics 104
Replace Kenjiro Tanoue with:
Kenjiro Tanoue Japan
Michael Cunningham United States
L F Brass United States
Kaneo Satoh Japan
K. Vinod Vijayan United States
Patrizia Marchese United States
Gijsbert van Willigen Netherlands
Jocelyn M. Auger United Kingdom
J N Wilcox United States
Andrew T. Jacovina 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-authorship network

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
#Work
1 200535
2 199944
3 199827
4 199674
5 199670
6 199610
7
[Conformational changes of the platelet membrane glycoprotein IIb-IIIa complex stimulated by a monoclonal antibody to the N-terminal segment of glycoprotein IIIa].
19962
8 199524
9 1994113
10 19944
11 199214
12 19919
13 199081
14 1988130
15 198719
16 19875
17
Characterization of monoclonal antibodies to the human myeloid-differentiation antigen, 'gp67' (CD-33).
198710
18 1987163
19 198315
20 198221

About MC Berndt

MC Berndt is a scholar working on Hematology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Pharmaceutical Science and Cardiology and Cardiovascular Medicine, 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), Cell Adhesion Molecules Research (7 papers), Blood groups and transfusion (7 papers), Blood disorders and treatments (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Blood properties and coagulation (3 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (2 papers). The work is most often cited by research in Hematology (942 citations), Immunology and Allergy (329 citations), Immunology (301 citations), Internal Medicine (42 citations) and Genetics (104 citations). MC Berndt has collaborated with scholars based in Australia, United States and Sri Lanka. Frequent co-authors include PA Castaldi, Robert K. Andrews, F H Bach, Martin L. Blakely, A P Dalmasso, Xiaoping Du, Gordon F. Burns, Angel F. López, J K Boyles 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 Platelets.

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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