D. Seiffge

1.4k citations
48 papers · 1.1k · h-index 13

Impact in

Papers in

D. Seiffge

44 papers receiving 1.0k citations

Peers

D. Seiffge
Comparison fields: 5 of 102
  • Immunology and Allergy 160
  • Cell Biology 197
  • Hematology 100
  • Internal Medicine 26
  • Physiology 166
Replace Fred L. Minnear with:
Fred L. Minnear United States
Nitzan Resnick United States
Kazunori Nakagawa Japan
Nicolae Simionescu United States
S Koga United States
Aldo Del Maschio Italy
B A Wolitzky United States
Hussein D. Foda United States
Sara M. Camp United States
Peter W. Hewett United Kingdom
D. Seiffge relative to Fred L. Minnear United States Fred L. Minnear's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Seiffge

Since Specialization
Citations

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

Fields of papers citing papers by D. Seiffge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984440
2 1991164
3
In vitro effects of oxidized low density lipoprotein on CD11b/CD18 and L-selectin presentation on neutrophils and monocytes with relevance for the in vivo situation.
199559
4 199158
5 199554
6
Protective effects of monoclonal antibody to VLA-4 on leukocyte adhesion and course of disease in adjuvant arthritis in rats.
199643
7 198123
8 198622
9 199521
10 199520
11 199514
12 199814
13 198113
14 198311
15 199111
16 19979
17 19858
18 19968
19 19907
20 20017

About D. Seiffge

D. Seiffge is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood properties and coagulation (15 papers), Erythrocyte Function and Pathophysiology (13 papers), Cell Adhesion Molecules Research (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Lipid Membrane Structure and Behavior (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Immunology and Allergy (160 citations), Cell Biology (197 citations), Hematology (100 citations), Internal Medicine (26 citations) and Physiology (166 citations). D. Seiffge has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include D Drenckhahn, Christian Mittermayer, R.P. Franke, Hans-J. Schnittler, Michael Gräfe, Geert W. Schmid‐Schönbein, Wen Yin, Benjamin W. Zweifach, F. A. DeLano and H. Kiesewetter. Their work appears in journals such as Thrombosis Research, Inflammation Research, European Journal of Pharmacology, Journal of Molecular Medicine and Annals of Hematology.

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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