Beat M. Frey

2.2k citations
56 papers · 1.3k · h-index 19

Impact in

  • Hematology top 1%
    • Blood groups and transfusion
    • Iron Metabolism and Disorders
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Blood groups and transfusion 20
    • Platelet Disorders and Treatments 5
    • Hematopoietic Stem Cell Transplantation 4
    • Erythrocyte Function and Pathophysiology 11

Beat M. Frey

56 papers receiving 1.3k citations

Peers

Beat M. Frey
Comparison fields: 5 of 122
  • Hematology 585
  • Genetics 225
  • Management of Technology and Innovation 145
  • Biochemistry 42
  • Physiology 160
Replace Amy E. Schmidt with:
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Citations per field
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Citations per year

Countries citing papers authored by Beat M. Frey

Since Specialization
Citations

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

Fields of papers citing papers by Beat M. Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beat M. Frey. 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 Beat M. Frey. The network helps show where Beat M. Frey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014192
2 1997121
3 199873
4 199871
5 200859
6 201254
7 202052
8 201049
9 199844
10 200741
11 201841
12 201438
13 201432
14 200329
15 199722
16 202221
17 199719
18 201618
19 200718
20 201718

About Beat M. Frey

Beat M. Frey is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Management of Technology and Innovation, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (20 papers), Erythrocyte Function and Pathophysiology (11 papers), Blood donation and transfusion practices (8 papers), Hemoglobinopathies and Related Disorders (6 papers), Platelet Disorders and Treatments (5 papers), Blood disorders and treatments (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (585 citations), Genetics (225 citations), Management of Technology and Innovation (145 citations), Biochemistry (42 citations) and Physiology (160 citations). Beat M. Frey has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Christoph Gassner, Malcolm A.S. Moore, Shahin Rafii, Andreas Buser, Lorenz Göette, Jean‐Daniel Tissot, Alois Stutzer, Stefan Meyer, Bernard Favrat and Gérard Waeber. Their work appears in journals such as Transfusion, Vox Sanguinis, Blood, Parkinsonism & Related Disorders and British Journal of Haematology.

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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