U Seemüller

986 citations
15 papers · 842 · h-index 12

Impact in

Papers in

    • Leech Biology and Applications 7
    • Healthcare and Venom Research 3
    • Venomous Animal Envenomation and Studies 7

U Seemüller

15 papers receiving 773 citations

Peers

U Seemüller
Comparison fields: 5 of 79
  • Hematology 168
  • Cancer Research 152
  • Internal Medicine 36
  • Immunology and Allergy 57
  • Pharmacology 149
Replace R. Maschler with:
R. Maschler Germany
Robert J. Baugh United States
Mark O. Palmier United States
Zafar I. Randhawa United States
Margit Bauer Germany
F.J. Castellino United States
P Wikström Switzerland
Gonzalo Izaguirre United States
Eliada Lazoura Australia
Gerd Zettlmeißl Germany
U Seemüller relative to R. Maschler Germany R. Maschler's profile →
Citations per field
00.5×3.3×
R. Maschler · 1×
Citations per year

Countries citing papers authored by U Seemüller

Since Specialization
Citations

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

Fields of papers citing papers by U Seemüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1986159
2 1984150
3 1977107
4 198599
5 198691
6 198664
7
Structure of the elastase-cathepsin G inhibitor of the leech Hirudo medicinalis.
198042
8 198436
9 198335
10 198019
11
Eglin c, a pharmacologically active elastase inhibitor.
198518
12 198717
13
Inhibition of horse leucocyte proteinases by eglin, a proteinase inhibitor from leeches.
19852
14
Biochemical properties and possible therapeutic role of the elastase inhibitor eglin C.
19852
15 19831

About U Seemüller

U Seemüller is a scholar working on Pharmacology, Genetics, Molecular Biology, Surgery and Hematology, having authored 15 papers that have together received 842 indexed citations. Recurring topics across this work include Leech Biology and Applications (7 papers), Venomous Animal Envenomation and Studies (7 papers), Healthcare and Venom Research (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers), Biochemical and Structural Characterization (2 papers), Enzyme Production and Characterization (2 papers) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Hematology (168 citations), Cancer Research (152 citations), Internal Medicine (36 citations), Immunology and Allergy (57 citations) and Pharmacology (149 citations). U Seemüller has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Hans Fritz, Johannes Dodt, Hans‐Peter Müller, Werner Machleidt, R. Maschler, Jui‐Yoa Chang, Heribert Appelhans, Marianne Arnhold, Friedrich Lottspeich and Antonio Baici. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, Biochemical Journal, Analytical Biochemistry and Thrombosis Research.

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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