Michael Bayer

611 citations
17 papers · 524 · h-index 10

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 2
    • Immunotherapy and Immune Responses 3

Michael Bayer

15 papers receiving 513 citations

Peers

Michael Bayer
Comparison fields: 5 of 73
  • Cell Biology 257
  • Nephrology 40
  • Physiology 26
  • Molecular Biology 208
  • Hematology 28
Replace Rihong Zhou with:
Rihong Zhou United States
JM Theler Switzerland
Lynelle K. Jones Australia
Julie E. Woodrum United States
Radu Neamu United States
Mika Kikkawa Japan
Kohei Omachi Japan
Alberto Turco Italy
Héloïse P. Gaide Chevronnay Belgium
Serena Recalchi Italy
Michael Bayer relative to Rihong Zhou United States Rihong Zhou's profile →
Citations per field
00.5×4.4×
Rihong Zhou · 1×
Citations per year

Countries citing papers authored by Michael Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001112
2 2008104
3 200354
4 201253
5 200653
6 197246
7 201529
8 200525
9 200816
10 200914
11 20208
12 20195
13 20152
14
Qualitätsmanagement im Krankenhaus - Organisationsbindung von Mitarbeitern und Zufriedenheit von Patienten
20062
15 20141
16 20250
17 20140

About Michael Bayer

Michael Bayer is a scholar working on Oncology, Immunology, Cell Biology, Surgery and Molecular Biology, having authored 17 papers that have together received 524 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Immunotherapy and Immune Responses (3 papers), Pancreatic function and diabetes (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Cell Biology (257 citations), Nephrology (40 citations), Physiology (26 citations), Molecular Biology (208 citations) and Hematology (28 citations). Michael Bayer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Weide, Angelika Barnekow, Reiner Peters, Jan Peter Siebrasse, Charles S. Lieber, Henry D. Janowitz, J Rudick, Tobias B. Huber, Albrecht Schwab and Thomas Benzing. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Journal of the American Society of Nephrology, Journal of Surgical Oncology, Gastroenterology and Biochemical and Biophysical Research Communications.

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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