Anita E. Eckly

5.5k citations
103 papers · 4.5k · h-index 41

Impact in

  • Hematology top 0.5%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Blood groups and transfusion
  • Physiology top 0.5%
    • Adenosine and Purinergic Signaling

Papers in

Anita E. Eckly

100 papers receiving 4.5k citations

Peers

Anita E. Eckly
Comparison fields: 5 of 124
  • Hematology 2.5k
  • Physiology 450
  • Internal Medicine 314
  • Immunology and Allergy 425
  • Cardiology and Cardiovascular Medicine 1.1k
Replace Timothy J. Stalker with:
Timothy J. Stalker United States
Yuping Yuan Australia
Irina Pleines Germany
Debra K. Newman United States
Tetsuhito Kojima Japan
Jean‐Philippe Rosa France
Michael Gräfe Germany
Marijke Bryckaert France
Minoru Okuma Japan
Peter Seizer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Anita E. Eckly

Since Specialization
Citations

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

Fields of papers citing papers by Anita E. Eckly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999383
2 2011214
3 2004179
4 2007150
5 1998123
6 2001116
7 2013116
8 2000111
9 2010110
10 2016101
11 2003101
12 200094
13 201393
14 200393
15 201390
16 200890
17 201988
18 201885
19 200184
20 201675

About Anita E. Eckly

Anita E. Eckly is a scholar working on Hematology, Immunology and Allergy, Physiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 103 papers that have together received 4.5k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (69 papers), Blood properties and coagulation (20 papers), Antiplatelet Therapy and Cardiovascular Diseases (14 papers), Blood groups and transfusion (13 papers), Cell Adhesion Molecules Research (11 papers), Adenosine and Purinergic Signaling (10 papers), Heparin-Induced Thrombocytopenia and Thrombosis (9 papers) and Proteoglycans and glycosaminoglycans research (6 papers). The work is most often cited by research in Hematology (2.5k citations), Physiology (450 citations), Internal Medicine (314 citations), Immunology and Allergy (425 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Anita E. Eckly has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Christian G. Gachet, Jean‐Pierre Cazenave, François Lanza, Catherine Léon, Béatrice Hechler, Philippe Ohlmann, Monique A. Freund, Pierre Mangin, Catherine Strassel and Bernhard Nieswandt. Their work appears in journals such as Blood, Journal of Thrombosis and Haemostasis, Blood Advances, Journal of Visualized Experiments and Transfusion.

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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