Paweł Lis
Impact in
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
- Cell Biology 17
- Cellular transport and secretion 15
- Microtubule and mitosis dynamics 4
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 9
- Co-authors
- Dario R. AlessiFrancesca TonelliTerina N. MartinezSuzanne R. PfefferHerschel S. DhekneRaja Sekhar NirujogiYoung Hee KoPeter L. Pedersen
- Journals
- Biochemical Journal (7 papers)eLife (3 papers)Science Advances (2 papers)Zootaxa (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Paweł Lis
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Neurology 872
- Cell Biology 705
- Physiology 82
- Neurology 140
- Physiology 433
Countries citing papers authored by Paweł Lis
This map shows the geographic impact of Paweł Lis'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 Paweł Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Lis more than expected).
Fields of papers citing papers by Paweł Lis
This network shows the impact of papers produced by Paweł Lis. 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 Paweł Lis. The network helps show where Paweł Lis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paweł Lis, 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 | 2025 | 4 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 38 | |
| 7 | 2021 | 16 | |
| 8 | 2019 | 64 | |
| 9 | 2019 | 80 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 141 | |
| 12 | Systematic proteomic analysis of LRRK2-mediated Rab GTPase phosphorylation establishes a connection to ciliogenesis Hit paper breakdown → | 2017 | 329 |
| 13 | 2017 | 205 | |
| 14 | 2017 | 100 | |
| 15 | 2016 | 163 | |
| 16 | 2016 | 16 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 17 | |
| 19 | 2013 | 22 | |
| 20 | 2012 | 24 |
About Paweł Lis
Paweł Lis is a scholar working on Cell Biology, Neurology, Microbiology, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Lysosomal Storage Disorders Research (5 papers), Retinal Development and Disorders (5 papers), Microtubule and mitosis dynamics (4 papers), Phytoplasmas and Hemiptera pathogens (3 papers), Reproductive tract infections research (3 papers) and Hemiptera Insect Studies (3 papers). The work is most often cited by research in Neurology (872 citations), Cell Biology (705 citations), Physiology (82 citations), Neurology (140 citations) and Physiology (433 citations). Paweł Lis has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Dario R. Alessi, Francesca Tonelli, Terina N. Martinez, Suzanne R. Pfeffer, Herschel S. Dhekne, Raja Sekhar Nirujogi, Young Hee Ko, Peter L. Pedersen, Federico Diez and Martin Steger. Their work appears in journals such as Biochemical Journal, eLife, Science Advances, Zootaxa and The Journal of Cell Biology.
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.