Stefan M. Pulst
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases 86
- Neurology top 0.5%
- Amyotrophic Lateral Sclerosis Research 17
- Neurological disorders and treatments 17
- Neurofibromatosis and Schwannoma Cases 14
- Parkinson's Disease Mechanisms and Treatments 14
- Molecular Biology top 1%
- Mitochondrial Function and Pathology 61
- RNA Research and Splicing 15
- Ion channel regulation and function 13
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 17
- Neurological disorders and treatments 17
- Neurofibromatosis and Schwannoma Cases 14
- Parkinson's Disease Mechanisms and Treatments 14
- Genetics top 2%
- Co-authors
- Daniel R. ScolesDuong P. HuynhKarla P. FigueroaPratap MeeraThomas S. OtisSharan PaulWarunee DansithongTetsuo Ashizawa
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stefan M. Pulst
149 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 3.3k
- Neurology 2.3k
- Molecular Biology 4.1k
- Neurology 457
- Genetics 485
Countries citing papers authored by Stefan M. Pulst
This map shows the geographic impact of Stefan M. Pulst'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 M. Pulst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan M. Pulst more than expected).
Fields of papers citing papers by Stefan M. Pulst
This network shows the impact of papers produced by Stefan M. Pulst. 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 M. Pulst. The network helps show where Stefan M. Pulst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan M. Pulst, 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 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 20 | |
| 12 | 2016 | 48 | |
| 13 | 2015 | 64 | |
| 14 | 2014 | 171 | |
| 15 | 2014 | 46 | |
| 16 | 2009 | 1 | |
| 17 | 2006 | 41 | |
| 18 | 2005 | 22 | |
| 19 | 2004 | 47 | |
| 20 | 1996 | 20 |
About Stefan M. Pulst
Stefan M. Pulst is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 157 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (86 papers), Mitochondrial Function and Pathology (61 papers), Amyotrophic Lateral Sclerosis Research (17 papers), Neurological disorders and treatments (17 papers), RNA Research and Splicing (15 papers), Neurofibromatosis and Schwannoma Cases (14 papers), Parkinson's Disease Mechanisms and Treatments (14 papers) and Ion channel regulation and function (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.3k citations), Neurology (2.3k citations) and Molecular Biology (4.1k citations). Stefan M. Pulst has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Daniel R. Scoles, Duong P. Huynh, Karla P. Figueroa, Pratap Meera, Thomas S. Otis, Sharan Paul, Warunee Dansithong, Karla P. Figueroa, Tetsuo Ashizawa and Frank Rigo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.