Michael Plank

638 citations
14 papers · 402 · h-index 10

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Fungal and yeast genetics research 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Ubiquitin and proteasome pathways 2
    • Fungal Biology and Applications 2

Michael Plank

14 papers receiving 397 citations

Peers

Michael Plank
Comparison fields: 5 of 76
  • Aging 105
  • Biophysics 33
  • Structural Biology 7
  • Endocrine and Autonomic Systems 30
  • Molecular Biology 287
Replace Linda P. O’Reilly with:
Linda P. O’Reilly United States
Nadav Shai Israel
Beverley M. Rabbitts United States
Shang‐Tong Li China
Julia Tischler United Kingdom
Dennis Pultz Denmark
Amber L. Jolly United States
Matthias Ziehm Germany
Alexandros Papagiannakis United States
Michael Plank relative to Linda P. O’Reilly United States Linda P. O’Reilly's profile →
Citations per field
00.5×1.5×2.4×
Linda P. O’Reilly · 1×
Citations per year

Countries citing papers authored by Michael Plank

Since Specialization
Citations

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

Fields of papers citing papers by Michael Plank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201195
2 200967
3 202065
4 201261
5 202225
6 201319
7 201519
8 202015
9 201512
10 202111
11 20225
12 20204
13 20133
14 20241

About Michael Plank

Michael Plank is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Spectroscopy and Aging, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Fungal Biology and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Cell Image Analysis Techniques (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (105 citations), Biophysics (33 citations), Structural Biology (7 citations), Endocrine and Autonomic Systems (30 citations) and Molecular Biology (287 citations). Michael Plank has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include João Pedro de Magalhães, Daniel Wuttke, George H. Wadhams, Mark C. Leake, Shona H. Wood, Robbie Loewith, Sipko van Dam, Susan Clarke, Agnès H. Michel and Françoise Stutz. Their work appears in journals such as PROTEOMICS, Molecular Biology of the Cell, Scientific Reports, Journal of Proteome Research and Molecular & Cellular Proteomics.

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.

Explore authors with similar magnitude of impact