Michael Ollmann

10 papers receiving 2.9k citations

Michael Ollmann's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 2021 · 2.0k citations
2.0k0+1+3Years since publication50010001.5k2.0k

Peers

Michael Ollmann
Comparison fields: 5 of 131
  • Endocrine and Autonomic Systems 391
  • Epidemiology 1.2k
  • Aging 65
  • Cell Biology 587
  • Physiology 147
Replace Fabrice Morin with:
Fabrice Morin France
Hwan Tae Park South Korea
Célia Alexandra Aveleira Portugal
Huan Min Yang United States
Julien Avérous France
María I. Burón Spain
David Reigada Spain
Rachel L. Wolfson United States
Radek Dobrowolski United States
Michael Ollmann relative to Fabrice Morin France Fabrice Morin's profile →
Citations per field
00.5×1.7×
Fabrice Morin · 1×
Citations per year

Countries citing papers authored by Michael Ollmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212038
2 1999362
3 2000331
4 199785
5 200158
6 202117
7 20224
8 20252
9
Commercial Lines Insurance in Europe
19971
10 20211

About Michael Ollmann

Michael Ollmann is a scholar working on Cell Biology, Endocrine and Autonomic Systems, Epidemiology, Nutrition and Dietetics and Molecular Biology, having authored 10 papers that have together received 2.9k indexed citations. Recurring topics across this work include melanin and skin pigmentation (3 papers), RNA Interference and Gene Delivery (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), RNA regulation and disease (2 papers), Regulation of Appetite and Obesity (2 papers), Autophagy in Disease and Therapy (2 papers), CRISPR and Genetic Engineering (1 paper) and Insurance and Financial Risk Management (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (391 citations), Epidemiology (1.2k citations), Aging (65 citations), Cell Biology (587 citations) and Physiology (147 citations). Michael Ollmann has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Gregory S. Barsh, Xin‐Yun Lu, Didier Bagnol, Heidi E.W. Day, Christopher B. Kaelin, Ira Gantz, Stanley J. Watson, Huda Akil, Marcia P. Belvin and Geoffrey M. Duyk. Their work appears in journals such as Toxicologic Pathology, Journal of Cell Science, Cell, Molecular Therapy — Nucleic Acids and The EMBO Journal.

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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