Michael Petrascheck

3.0k citations
38 papers · 1.7k · h-index 23

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 25
    • Mitochondrial Function and Pathology 5
    • RNA Research and Splicing 3

Michael Petrascheck

36 papers receiving 1.7k citations

Peers

Michael Petrascheck
Comparison fields: 5 of 107
  • Aging 837
  • Biological Psychiatry 114
  • Endocrine and Autonomic Systems 293
  • Physiology 477
  • Geriatrics and Gerontology 47
Replace Jan Gruber with:
Jan Gruber Singapore
Tamara R. Golden United States
Li Fang Ng Singapore
Alex Bokov United States
Silvestre Alavez Mexico
Catherine A. Wolkow United States
Sebastian Schmeisser Germany
Di Chen China
Barbara H. Sohal United States
Laura Tedesco Italy
Michael Petrascheck relative to Jan Gruber Singapore Jan Gruber's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Petrascheck

Since Specialization
Citations

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

Fields of papers citing papers by Michael Petrascheck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007207
2 2011124
3 2016117
4 2017114
5 2019108
6 2018107
7 201399
8 201686
9 201578
10 200571
11 201563
12 202063
13 200449
14 201846
15 200946
16 201638
17 201835
18 201734
19 201933
20 201826

About Michael Petrascheck

Michael Petrascheck is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Biological Psychiatry, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (25 papers), Circadian rhythm and melatonin (10 papers), Mitochondrial Function and Pathology (5 papers), Tryptophan and brain disorders (3 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (3 papers), Pancreatic function and diabetes (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Aging (837 citations), Biological Psychiatry (114 citations), Endocrine and Autonomic Systems (293 citations), Physiology (477 citations) and Geriatrics and Gerontology (47 citations). Michael Petrascheck has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Gregory M. Solis, Linda B. Buck, Xiaolan Ye, Rafael L Gomez-Amaro, Pamela Maher, David Schubert, António Currais, Joshua Goldberg, Sunitha Rangaraju and John P. Cooke. Their work appears in journals such as Aging Cell, eLife, Journal of Visualized Experiments, Nature Communications and BioTechniques.

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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