Michał Koliński

2.2k citations
48 papers · 1.5k indexed · 1 hit paper · h-index 17

Michał Koliński

47 papers receiving 1.5k citations

Hit Papers

Coarse-Grained Protein Models and Their Applications20162026201920222016200400600

Peers

Michał Koliński
Comparison fields: 5 of 128
  • Molecular Biology 1.0k
  • Materials Chemistry 378
  • Cellular and Molecular Neuroscience 197
  • Organic Chemistry 169
  • Spectroscopy 137
Replace Tyler Reddy with:
Tyler Reddy United Kingdom
David Dotson United States
Jan Domański United States
Hui Sun Lee United States
Sébastien Buchoux France
Richard Gowers United States
Sean L. Seyler United States
Joseph B. Lim United States
Lauren Raguette United States
Jennifer L. Miller United States
Michał Koliński relative to Tyler Reddy United Kingdom Tyler Reddy's profile →
Citations per field
00.5×1.7×
Tyler Reddy · 1×
Citations per year

Countries citing papers authored by Michał Koliński

Since Specialization
Citations

This map shows the geographic impact of Michał Koliński'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 Michał Koliński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Koliński more than expected).

Fields of papers citing papers by Michał Koliński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Koliński. 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 Michał Koliński. The network helps show where Michał Koliński may publish in the future.

Co-authorship network of co-authors of Michał Koliński

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Koliński. A scholar is included among the top collaborators of Michał Koliński based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Koliński. Michał Koliński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 5
5 4
6 11
7 9
8 8
9 5
10 12
11 22
12 45
13 28
14 16
15 27
16 28
17 63
18 23
19 55
20 11

About Michał Koliński

Michał Koliński is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy and Toxicology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Protein Structure and Dynamics (12 papers) and Mass Spectrometry Techniques and Applications (8 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (197 citations) and Computational Theory and Mathematics (134 citations). Michał Koliński has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Sebastian Kmiecik, Andrzej Koliński, Aleksandra E. Badaczewska-Dawid, Łukasz Wieteska, Dominik Gront, Sławomir Filipek, Tomasz R. Sosnowski, Leon Gradoń, Krzysztof Jóźwiak and Krzysztof Palczewski. Their work appears in journals such as Chemical Reviews, 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.

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