Frauke May

1.4k citations
17 papers · 1.1k indexed · h-index 14

Impact in

Papers in

    • Platelet Disorders and Treatments 7
    • Blood Coagulation and Thrombosis Mechanisms 7
    • Hemophilia Treatment and Research 1
    • Cell Adhesion Molecules Research 4

Frauke May

17 papers receiving 1.1k citations

Peers

Frauke May
Comparison fields: 5 of 77
  • Hematology 588
  • Immunology and Allergy 147
  • Internal Medicine 76
  • Genetics 197
  • Immunology 237
Replace Ina Hagedorn with:
Ina Hagedorn Germany
Nicolas Prévost United States
Crystal L. Piffath United States
Masamichi Shiraga Japan
Naoki Asazuma Japan
Nassia Methia France
Mariska G. Rondaij Netherlands
Brenda Finney United Kingdom
Valerie Schulte Germany
Paolo Lova Italy
Frauke May relative to Ina Hagedorn Germany Ina Hagedorn's profile →
Citations per field
00.5×1.5×
Ina Hagedorn · 1×
Citations per year

Countries citing papers authored by Frauke May

Since Specialization
Citations

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

Fields of papers citing papers by Frauke May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013250
2 2009163
3 2011131
4 2014103
5 200893
6 201392
7 201556
8 201143
9 201637
10 201631
11 201024
12 201417
13 202116
14 202215
15 19955
16 20204
17 20212

About Frauke May

Frauke May is a scholar working on Hematology, Immunology and Allergy, Genetics, Internal Medicine and Sensory Systems, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Cell Adhesion Molecules Research (4 papers), Mast cells and histamine (2 papers), Blood properties and coagulation (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Hematology (588 citations), Immunology and Allergy (147 citations), Internal Medicine (76 citations), Genetics (197 citations) and Immunology (237 citations). Frauke May has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Bernhard Nieswandt, Irina Pleines, Ina Hagedorn, Margitta Elvers, Timo Vögtle, Markus Bender, Cord Brakebusch, Johannes A. Eble, Johan W. M. Heemskerk and Shuchi Gupta. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Arteriosclerosis Thrombosis and Vascular Biology, Blood, Pflügers Archiv - European Journal of Physiology and Endocrine Related Cancer.

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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