Manuel Bauer

2.2k citations
20 papers · 2.0k · h-index 14

Impact in

  • Physiology top 0.5%
    • Adenosine and Purinergic Signaling
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Cell death mechanisms and regulation 6
    • RNA Interference and Gene Delivery 2
    • Mitochondrial Function and Pathology 2
    • S100 Proteins and Annexins 1
    • NF-κB Signaling Pathways 3

Manuel Bauer

15 papers receiving 1.9k citations

Peers

Manuel Bauer
Comparison fields: 5 of 99
  • Physiology 413
  • Neurology 203
  • Immunology 368
  • Cancer Research 251
  • Molecular Biology 999
Replace Yaping Yang with:
Yaping Yang China
Jianfeng Xu United States
M. Hohenegger Austria
Maria Grazia Tozzi Italy
Maurizio Previati Italy
Valérie Capra Italy
Marcella Camici Italy
Gwen S. Scott United States
Michael D. Kornberg United States
Kathleen C. Lundberg United States
Manuel Bauer relative to Yaping Yang China Yaping Yang's profile →
Citations per field
00.5×2×3.5×
Yaping Yang · 1×
Citations per year

Countries citing papers authored by Manuel Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1997264
2 1999246
3 1999235
4 2002230
5 1997223
6 1997216
7 1998166
8 200096
9 199987
10 200366
11 200362
12 200341
13 199725
14
Role of ICE-related and other proteases in Fas-mediated apoptosis.
199617
15 19981
16 20111
17 20110
18 20200
19 20160
20 20140

About Manuel Bauer

Manuel Bauer is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Immunology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Adenosine and Purinergic Signaling (3 papers), NF-κB Signaling Pathways (3 papers), RNA Interference and Gene Delivery (2 papers), Mitochondrial Function and Pathology (2 papers), Gothic Literature and Media Analysis (1 paper), S100 Proteins and Annexins (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Physiology (413 citations), Neurology (203 citations), Immunology (368 citations), Cancer Research (251 citations) and Molecular Biology (999 citations). Manuel Bauer has collaborated with scholars based in Germany, United States and Belize. Frequent co-authors include Klaus Schulze‐Osthoff, Sebastian Wesselborg, Stefan Grimm, Davide Ferrari, Alexis Schubert, Markus Vogt, Marek Łoś, Oliver Rocks, M. Lienhard Schmitz and Peter Vandenabeele. Their work appears in journals such as The FASEB Journal, The Journal of Cell Biology, Journal of Biological Chemistry, Journal of Virology and Circulation.

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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