Marcin Leda

34 papers receiving 995 citations

Peers

Marcin Leda
Comparison fields: 5 of 80
  • Cell Biology 463
  • Aging 38
  • Biophysics 66
  • Cellular and Molecular Neuroscience 152
  • Molecular Biology 511
Replace Ursula Wick with:
Ursula Wick Switzerland
Qiong Yang United States
Anthony Robertson United States
Denis Tsygankov United States
G. Gerisch Germany
Ondřej Kučera Czechia
Alexander Tournier Switzerland
David G. Míguez Spain
Nariman Naber United States
Julius B. Kirkegaard Denmark
Marcin Leda relative to Ursula Wick Switzerland Ursula Wick's profile →
Citations per field
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Ursula Wick · 1×
Citations per year

Countries citing papers authored by Marcin Leda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marcin Leda Line = papers co-authored together Marcin Leda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015206
2 2013112
3 201783
4 201973
5 201157
6 201639
7 201834
8 202234
9 200933
10 200831
11 201030
12 201629
13 201927
14 201824
15 202123
16 202123
17 201022
18 200820
19 202316
20 202213

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 1.0k 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), Cellular transport and secretion (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cell Biology (463 citations), Aging (38 citations), Biophysics (66 citations), Cellular and Molecular Neuroscience (152 citations) and Molecular Biology (511 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, Matthew Larson, Satoshi Okada, Adriana E. Golding and Erfei Bi. Their work appears in journals such as Current Biology, The Journal of Physical Chemistry A, Journal of Liquid Chromatography & Related Technologies, Developmental Cell 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.

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