Michael J. Gerdes

2.2k citations
25 papers · 1.0k · h-index 19

Impact in

Papers in

    • Single-cell and spatial transcriptomics 6
    • Hedgehog Signaling Pathway Studies 2
    • Advanced Biosensing Techniques and Applications 2
    • Cancer Cells and Metastasis 5
    • Cancer-related Molecular Pathways 3

Michael J. Gerdes

25 papers receiving 1.0k citations

Peers

Michael J. Gerdes
Comparison fields: 5 of 99
  • Cancer Research 150
  • Biophysics 58
  • Oncology 224
  • Molecular Biology 575
  • Immunology 129
Replace Eric Sulpice with:
Eric Sulpice France
M Korabiowska Germany
Edward Morrissey United Kingdom
Puay‐Hoon Tan Singapore
K. Shankar Narayan United States
Chengzhe Tian United States
Douglas B. Stairs United States
Geoffroy Andrieux Germany
Patrick Franken Netherlands
Tonny Lagerweij Netherlands
Michael J. Gerdes relative to Eric Sulpice France Eric Sulpice's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael J. Gerdes

Since Specialization
Citations

This map shows the geographic impact of Michael J. 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 J. 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 J. Gerdes more than expected).

Fields of papers citing papers by Michael J. Gerdes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017129
2 2017104
3 2014100
4 201486
5 199862
6 201359
7 200656
8 201348
9 199546
10 200341
11 199840
12 201535
13 199835
14 201934
15 201734
16 199231
17 200530
18 200029
19 200723
20 20217

About Michael J. Gerdes

Michael J. Gerdes is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers), Prostate Cancer Treatment and Research (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cancer Research (150 citations), Biophysics (58 citations), Oncology (224 citations), Molecular Biology (575 citations) and Immunology (129 citations). Michael J. Gerdes has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Melinda Larsen, David R. Rowley, Truong D. Dang, Robert J. Coffey, Bing Lu, Fiona Ginty, Ken S. Lau, Lauren McBride, Jeffrey L. Franklin and Eliot T. McKinley. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, The Prostate, Journal of Histochemistry & Cytochemistry and Genes Chromosomes and Cancer.

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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