Birgit Bayer

927 citations
36 papers · 473 · h-index 13

Impact in

Papers in

    • Molecular Biology Techniques and Applications 14
    • Single-cell and spatial transcriptomics 2
    • Forensic and Genetic Research 13
    • Yersinia bacterium, plague, ectoparasites research 2

Birgit Bayer

33 papers receiving 461 citations

Peers

Birgit Bayer
Comparison fields: 5 of 83
  • Genetics 198
  • Obstetrics and Gynecology 49
  • Biophysics 27
  • Archeology 41
  • Molecular Biology 252
Replace Carll Ladd with:
Carll Ladd United States
Haibo Luo China
Katja Anslinger Germany
Helge Lubenow Germany
Qiqun Tang China
Yuwen Pan China
Lagabaiyila Zha China
Masoud Zamani Esteki Netherlands
Ian Morilla Spain
E V Zybina Russia
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Citations per field
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Citations per year

Countries citing papers authored by Birgit Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 200543
3 200643
4 200134
5 201832
6 202029
7 200527
8 201823
9 201521
10 202119
11 200816
12 201815
13 200312
14 201910
15 20189
16 20159
17 20098
18 20178
19 20207
20 20135

About Birgit Bayer

Birgit Bayer is a scholar working on Molecular Biology, Genetics, Ecology, Immunology and Cancer Research, having authored 36 papers that have together received 473 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (14 papers), Forensic and Genetic Research (13 papers), Environmental DNA in Biodiversity Studies (5 papers), Cancer Genomics and Diagnostics (3 papers), Single-cell and spatial transcriptomics (2 papers), Reproductive System and Pregnancy (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Genetics (198 citations), Obstetrics and Gynecology (49 citations), Biophysics (27 citations), Archeology (41 citations) and Molecular Biology (252 citations). Birgit Bayer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Katja Anslinger, Wolfgang Eisenmenger, Burkhard Rolf, Brigitte Mack, W. Keil, Matthias Graw, Udo Jeschke, Darius Dian, Klaus Friese and Iordanis Navrozoglou. Their work appears in journals such as International Journal of Legal Medicine, Forensic Science International Genetics, Genes, iScience and Journal of Histochemistry & Cytochemistry.

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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