Beate Mayer

953 citations
55 papers · 596 · h-index 15

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Blood disorders and treatments
    • Hemoglobinopathies and Related Disorders

Papers in

    • Blood groups and transfusion 32
    • Platelet Disorders and Treatments 5
    • Erythrocyte Function and Pathophysiology 20

Beate Mayer

51 papers receiving 586 citations

Peers

Beate Mayer
Comparison fields: 5 of 63
  • Hematology 415
  • Genetics 143
  • Physiology 230
  • Genetics 165
  • Biochemistry 30
Replace C Kattamis with:
C Kattamis Greece
Yousun Chung South Korea
Luba Klama Canada
Ethel Bidwell United Kingdom
Elena Lyubimov Canada
Rachel Petermann France
Susanne M. Picker Germany
L Bardossy Canada
Albert J. Roy United States
J. B. Chatterjea India
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Citations per field
00.5×10×14.3×
C Kattamis · 1×
Citations per year

Countries citing papers authored by Beate Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Beate Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201178
2 201551
3 200845
4 201630
5 200929
6 200429
7 201826
8 201723
9 201822
10 201819
11 200716
12 201616
13 201416
14 201515
15 201714
16 201011
17 201010
18 201110
19
[Abdominoplasty--personal surgical guidelines].
198810
20 201610

About Beate Mayer

Beate Mayer is a scholar working on Hematology, Physiology, Surgery, Genetics and Genetics, having authored 55 papers that have together received 596 indexed citations. Recurring topics across this work include Blood groups and transfusion (32 papers), Erythrocyte Function and Pathophysiology (20 papers), Blood disorders and treatments (9 papers), Hemoglobinopathies and Related Disorders (8 papers), Platelet Disorders and Treatments (5 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Blood transfusion and management (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Hematology (415 citations), Genetics (143 citations), Physiology (230 citations), Genetics (165 citations) and Biochemistry (30 citations). Beate Mayer has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Abdulgabar Salama, Salih Yürek, H. Kiesewetter, A. Salama, H. Radtke, Hubert Schrezenmeier, Frank Andersohn, Elisabeth Bronder, Andreas Klimpel and Andreas Grüneisen. Their work appears in journals such as Transfusion, Vox Sanguinis, Frontiers in Immunology, PLoS ONE and Human Vaccines & Immunotherapeutics.

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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