Florence Schaffner

2.6k citations
26 papers · 2.1k indexed · h-index 22

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments

Papers in

Florence Schaffner

26 papers receiving 2.1k citations

Peers

Florence Schaffner
Comparison fields: 5 of 103
  • Internal Medicine 243
  • Hematology 680
  • Immunology and Allergy 272
  • Genetics 268
  • Cancer Research 305
Replace David G. Motto with:
David G. Motto United States
Scott R. Macfarlane United Kingdom
Michael J. Seatter United Kingdom
Mario Gonzalez–Gronow United States
Stephen O. Brennan New Zealand
Toshihiko Oki Japan
Richard M. Leimgruber United States
Ryutaro Shirakawa Japan
Huiyun Gao United States
Johan Dixelius Sweden
Florence Schaffner relative to David G. Motto United States David G. Motto's profile →
Citations per field
00.5×3.0×
David G. Motto · 1×
Citations per year

Countries citing papers authored by Florence Schaffner

Since Specialization
Citations

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

Fields of papers citing papers by Florence Schaffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201915
2 201737
3 201423
4 201416
5 201342
6 2013163
7 201236
8 2012215
9 201226
10 201036
11 2010109
12 200928
13 200981
14 2009101
15 200846
16 2008228
17 2007276
18 2005129
19 200548
20 2004104

About Florence Schaffner

Florence Schaffner is a scholar working on Hematology, Immunology and Allergy, Genetics, Cancer Research and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (12 papers), Angiogenesis and VEGF in Cancer (9 papers), Platelet Disorders and Treatments (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Protease and Inhibitor Mechanisms (6 papers), Cell Adhesion Molecules Research (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Internal Medicine (243 citations), Hematology (680 citations), Immunology and Allergy (272 citations), Genetics (268 citations) and Cancer Research (305 citations). Florence Schaffner has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Wolfram Ruf, Hellmut G. Augustin, Barbara M. Mueller, Naho Yokota, Monique Dontenwill, Henri H. Versteeg, Anne‐Marie Ray, Marjolein Kerver, Mélanie Héroult and Lars C. Petersen. Their work appears in journals such as Thrombosis Research, Arteriosclerosis Thrombosis and Vascular Biology, Blood, Neoplasia and Nature.

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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