Michael Gerdes

1.7k citations
15 papers · 1.4k indexed · 1 hit paper · h-index 11

Michael Gerdes

15 papers receiving 1.4k citations

Hit Papers

Molecular cloning and functional analysis of the adenovir...9301994202620042015250500750

Peers

Michael Gerdes
Comparison fields: 5 of 101
  • Molecular Biology 1.0k
  • Genetics 355
  • Oncology 341
  • Cancer Research 174
  • Immunology 188
Replace Venkat S. Malladi with:
Venkat S. Malladi United States
Greg Schuler United States
Ho Man Chan United States
Shibo Li United States
Stefan Lampel Germany
Richard L. Mort United Kingdom
Jurian Schuijers Netherlands
Jill M. Brown United Kingdom
Peter H.L. Krijger Netherlands
Michael Gerdes relative to Venkat S. Malladi United States Venkat S. Malladi's profile →
Citations per field
00.5×1.5×
Venkat S. Malladi · 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-authorship network

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

15 of 15 papers shown
#Work
1 202110
2 201510
3 20136
4 20111
5 201031
6 201019
7 200816
8 200839
9 200548
10 200551
11
Antisense suppression of the chloride intracellular channel family induces apoptosis, enhances tumor necrosis factor {alpha}-induced apoptosis, and inhibits tumor growth.
200555
12 200364
13
Springtime movements, boost use, and foraging activity of Townsend's big-eared bat ( Plecotus townsendii ) in central Oregon
19959
14 1994135
15
Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.breakdown →
1994930

About Michael Gerdes

Michael Gerdes is a scholar working on Biophysics, Immunology and Allergy, Urology, Molecular Biology and Cell Biology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cell death mechanisms and regulation (2 papers), Cell Adhesion Molecules Research (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Cell Image Analysis Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Genetics (355 citations), Oncology (341 citations), Cancer Research (174 citations) and Immunology (188 citations). Michael Gerdes has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Jeanne B. Lawrence, David M. Livingston, Mark E. Ewen, James A. DeCaprio, David Newsome, Richard Eckner, Phillip T. Moen, Stuart H. Yuspa, Kwang S. Suh and Michihiro Mutoh. Their work appears in journals such as Molecular Carcinogenesis, The Journal of Immunology, British Journal of Cancer, The Journal of Cell Biology and Genes & Development.

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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