Stefan Strack
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 16
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 9
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 42
- ATP Synthase and ATPases Research 24
- Protein Kinase Regulation and GTPase Signaling 18
- Ubiquitin and proteasome pathways 14
- Protein Tyrosine Phosphatases 11
- Cell Biology top 1%
- Cellular transport and secretion 8
- Aging top 2%
- Co-authors
- J. Thomas CribbsRoger ColbranRonald A. MerrillBrian E. WadzinskiKyle H. FlippoAudrey S. DickeyHenry N. HiggsWei-Ke Ji
- Journals
- Journal of Biological Chemistry (26 papers)The Journal of Comparative Neurology (5 papers)Journal of Neuroscience (4 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Stefan Strack
97 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 2.2k
- Clinical Biochemistry 662
- Molecular Biology 6.3k
- Cell Biology 1.1k
- Aging 98
Countries citing papers authored by Stefan Strack
This map shows the geographic impact of Stefan Strack'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 Stefan Strack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Strack more than expected).
Fields of papers citing papers by Stefan Strack
This network shows the impact of papers produced by Stefan Strack. 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 Stefan Strack. The network helps show where Stefan Strack may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Strack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 8 | |
| 7 | 2018 | 107 | |
| 8 | 2017 | 31 | |
| 9 | 2017 | 56 | |
| 10 | 2014 | 84 | |
| 11 | 2012 | 34 | |
| 12 | 2010 | 140 | |
| 13 | 2006 | 97 | |
| 14 | 2006 | 351 | |
| 15 | 2006 | 269 | |
| 16 | 2005 | 114 | |
| 17 | 2005 | 115 | |
| 18 | 2000 | 62 | |
| 19 | 1997 | 44 | |
| 20 | LOGSTER - A Relational, Object-Oriented System for Knowledge Representation. | 1988 | 2 |
About Stefan Strack
Stefan Strack is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Molecular Biology, having authored 102 papers that have together received 8.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (42 papers), ATP Synthase and ATPases Research (24 papers), Protein Kinase Regulation and GTPase Signaling (18 papers), Neuroscience and Neuropharmacology Research (16 papers), Ubiquitin and proteasome pathways (14 papers), Protein Tyrosine Phosphatases (11 papers), Metabolism and Genetic Disorders (9 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Clinical Biochemistry (662 citations) and Molecular Biology (6.3k citations). Stefan Strack has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include J. Thomas Cribbs, Roger Colbran, Ronald A. Merrill, Brian E. Wadzinski, Kyle H. Flippo, Audrey S. Dickey, Henry N. Higgs, Wei-Ke Ji, Yuriy M. Usachev and Ruben K. Dagda. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Comparative Neurology, Journal of Neuroscience, Cell and Biochemistry.
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.