Alexander Faußner

1.4k citations
44 papers · 913 · h-index 19

Impact in

  • Genetics top 2%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 30
    • Receptor Mechanisms and Signaling 9

Alexander Faußner

43 papers receiving 890 citations

Peers

Alexander Faußner
Comparison fields: 5 of 94
  • Genetics 440
  • Hematology 138
  • Immunology 197
  • Physiology 40
  • Cellular and Molecular Neuroscience 142
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Citations per field
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Citations per year

Countries citing papers authored by Alexander Faußner

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Faußner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199797
2 199879
3 201365
4 199457
5 200451
6 201543
7 199942
8 199129
9 200728
10 201126
11 201025
12 201824
13 200924
14 201223
15 200323
16 200423
17 201522
18 199121
19 201619
20 200917

About Alexander Faußner

Alexander Faußner is a scholar working on Genetics, Molecular Biology, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 913 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (30 papers), Receptor Mechanisms and Signaling (9 papers), Mast cells and histamine (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Peptidase Inhibition and Analysis (7 papers), Antifungal resistance and susceptibility (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Genetics (440 citations), Hematology (138 citations), Immunology (197 citations), Physiology (40 citations) and Cellular and Molecular Neuroscience (142 citations). Alexander Faußner has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include David Proud, Joan M. Bathon, Marianne Jochum, Werner Müller‐Esterl, Christian Weber, Irina Kalatskaya, Marilyn C. Towns, Sabine Steffens, Larisa Ring and Steffen Schüssler. Their work appears in journals such as Biological Chemistry, Journal of Biological Chemistry, International Immunopharmacology, American Journal of Physiology-Heart and Circulatory Physiology and PLoS ONE.

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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