Marcin Leda
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Nonlinear Dynamics and Pattern Formation 15
-
- Fungal and yeast genetics research 6
- Co-authors
- Andrew B. Goryachev (19 shared papers)Ann L. Miller (5 shared papers)Irving R. Epstein (9 shared papers)William M. Bement (7 shared papers)George von Dassow (5 shared papers)Kenneth E. Sawin (3 shared papers)Natasha S. Savage (1 shared paper)Satoshi Okada (1 shared paper)
- Journals
- Current Biology (4 papers)The Journal of Physical Chemistry A (4 papers)The Journal of Cell Biology (2 papers)Journal of Liquid Chromatography & Related Technologies (2 papers)Molecular Biology of the Cell (2 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Marcin Leda
34 papers receiving 966 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 451
- Aging 37
- Biophysics 61
- Cellular and Molecular Neuroscience 144
- Computer Networks and Communications 172
Countries citing papers authored by Marcin Leda
This map shows the geographic impact of Marcin Leda'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 Marcin Leda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Leda more than expected).
Fields of papers citing papers by Marcin Leda
This network shows the impact of papers produced by Marcin Leda. 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 Marcin Leda. The network helps show where Marcin Leda may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Leda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 202 | |
| 2 | 2013 | 111 | |
| 3 | 2017 | 80 | |
| 4 | 2019 | 70 | |
| 5 | 2011 | 54 | |
| 6 | 2016 | 38 | |
| 7 | 2018 | 33 | |
| 8 | 2009 | 33 | |
| 9 | 2008 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2010 | 30 | |
| 12 | 2019 | 27 | |
| 13 | 2016 | 27 | |
| 14 | 2018 | 24 | |
| 15 | 2021 | 22 | |
| 16 | 2010 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2008 | 19 | |
| 19 | 2023 | 15 | |
| 20 | 2009 | 13 |
About Marcin Leda
Marcin Leda is a scholar working on Computer Networks and Communications, Molecular Biology, Cell Biology, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 976 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), Microtubule and mitosis dynamics (11 papers), Cellular Mechanics and Interactions (7 papers), Fungal and yeast genetics research (6 papers), stochastic dynamics and bifurcation (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Cellular transport and secretion (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cell Biology (451 citations), Aging (37 citations), Biophysics (61 citations), Cellular and Molecular Neuroscience (144 citations) and Computer Networks and Communications (172 citations). Marcin Leda has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Andrew B. Goryachev, Ann L. Miller, Irving R. Epstein, William M. Bement, George von Dassow, Kenneth E. Sawin, Natasha S. Savage, Satoshi Okada, Adriana E. Golding and Erfei Bi. Their work appears in journals such as Current Biology, The Journal of Physical Chemistry A, The Journal of Cell Biology, Journal of Liquid Chromatography & Related Technologies and Molecular Biology of the Cell.
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.