David E. Schmidt

49 papers receiving 1.2k citations

Peers

David E. Schmidt
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 347
  • Hematology 177
  • Critical Care and Intensive Care Medicine 67
  • Biomaterials 158
  • Automotive Engineering 110
Replace Hendrik T. Tevaearai with:
Hendrik T. Tevaearai Switzerland
Cristiano Spadaccio United Kingdom
Gianfranco Beniamino Fiore Italy
Choon Hwai Yap Singapore
Hiroaki Harasaki United States
Mitchell J. George United States
Ralf Sodian Germany
Ryohei Yozu Japan
Jung Sub Lee South Korea
Frank A. Petrigliano United States
David E. Schmidt relative to Hendrik T. Tevaearai Switzerland Hendrik T. Tevaearai's profile →
Citations per field
00.5×6.1×
Hendrik T. Tevaearai · 1×
Citations per year

Countries citing papers authored by David E. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by David E. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Schmidt. 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 David E. Schmidt. The network helps show where David E. Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009281
2 200895
3 200892
4 201875
5 200969
6 201858
7 201957
8 201555
9 201542
10 200932
11 199328
12 201826
13 201624
14 201923
15 200719
16 202018
17 202017
18 201916
19 201716
20 202015

About David E. Schmidt

David E. Schmidt is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Molecular Biology and Automotive Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (14 papers), Blood groups and transfusion (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Hemophilia Treatment and Research (4 papers), Additive Manufacturing Materials and Processes (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (347 citations), Hematology (177 citations), Critical Care and Intensive Care Medicine (67 citations), Biomaterials (158 citations) and Automotive Engineering (110 citations). David E. Schmidt has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Michael S. Sacks, W. David Merryman, M Sillanpää, Masja de Haas, Erica Stevens, Markus Chmielus, Margareta Holmström, Jonathan P. Vande Geest, David A. Vorp and Anna Ågren. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Thrombosis and Haemostasis, Thrombosis Research, Scientific Reports and Frontiers in 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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