Michael Gerdes

1.6k citations
13 papers · 507 · h-index 11

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Genomics and Chromatin Dynamics
    • Ion channel regulation and function
    • Protein Kinase Regulation and GTPase Signaling
    • Nuclear Structure and Function
    • Cell death mechanisms and regulation

Papers in

Michael Gerdes

13 papers receiving 491 citations

Peers

Michael Gerdes
Comparison fields: 5 of 60
  • Biophysics 42
  • Molecular Biology 245
  • Computational Mathematics 2
  • Cancer Research 33
  • Oncology 48
Replace Christine Vignon with:
Christine Vignon France
Kuan Yan Netherlands
Sabrina Richter Germany
Sonia M. Rosenfield United States
Reza Mirzazadeh Sweden
Kin Man Suen United Kingdom
Michael Pargett United States
Jaclyn J. Ho United States
Wenhui Guo China
Eleftherios D. Pilalis Greece
Michael Gerdes relative to Christine Vignon France Christine Vignon's profile →
Citations per field
00.5×1.5×
Christine Vignon · 1×
Citations per year

Countries citing papers authored by Michael Gerdes

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gerdes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1994137
2 200367
3
Antisense suppression of the chloride intracellular channel family induces apoptosis, enhances tumor necrosis factor {alpha}-induced apoptosis, and inhibits tumor growth.
200557
4 200553
5 200550
6 200840
7 201032
8 200821
9 201020
10 202112
11 201511
12 20136
13 20111

About Michael Gerdes

Michael Gerdes is a scholar working on Biophysics, Cancer Research, Cell Biology, Molecular Biology and Oncology, having authored 13 papers that have together received 507 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Cell death mechanisms and regulation (3 papers), Medical Image Segmentation Techniques (2 papers), Dermatology and Skin Diseases (1 paper), AI in cancer detection (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Biophysics (42 citations), Molecular Biology (245 citations), Computational Mathematics (2 citations), Cancer Research (33 citations) and Oncology (48 citations). Michael Gerdes has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Jeanne Bentley Lawrence, Phillip T. Moen, Stuart H. Yuspa, Michihiro Mutoh, Kwang S. Suh, Christina Cheng, Adam B. Glick, Lindsay E. Edwards, Rebecca A. Dumont and Tomoko Mutoh. Their work appears in journals such as Molecular Carcinogenesis, Clinical Cancer Research, The Journal of Cell Biology, British Journal of Cancer and The Journal of Immunology.

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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