Łukasz Salwiński

7.0k citations
22 papers · 2.9k indexed · 1 hit paper · h-index 15
Topics
Bioinformatics and Genomic Networks (8 papers)Computational Drug Discovery Methods (4 papers)Gene expression and cancer classification (2 papers)

In The Last Decade

Łukasz Salwiński

21 papers receiving 2.8k citations

Hit Papers

The Database of Interacting Proteins: 2004 update2003202620102018200350010001.5k

Peers

Łukasz Salwiński
Comparison fields: 5 of 114
  • Molecular Biology 2.6k
  • Computational Theory and Mathematics 583
  • Cell Biology 202
  • Spectroscopy 198
  • Genetics 146
Replace Maithreyan Srinivasan with:
Maithreyan Srinivasan United States
Antonio del Sol Luxembourg
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Teresa Reguly Canada
Tomoko Chiba Japan
Loïc Giot United States
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Jennifer Rust United States
Christie Chang United States
Łukasz Salwiński relative to Maithreyan Srinivasan United States Maithreyan Srinivasan's profile →
Citations per field
00.5×1.5×1.9×
Maithreyan Srinivasan · 1×
Citations per year

Countries citing papers authored by Łukasz Salwiński

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Salwiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Salwiński

This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Salwiński. A scholar is included among the top collaborators of Łukasz Salwiński 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 Łukasz Salwiński. Łukasz Salwiński 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 3
2 0
3 5
4 8
5 22
6 25
7 72
8 33
9 70
10 31
11 124
12 47
13 15
14 55
15 99
16
The Database of Interacting Proteins: 2004 updatebreakdown →
1695
17 481
18 9
19 3
20 65

About Łukasz Salwiński

Łukasz Salwiński is a scholar working on Computational Theory and Mathematics, Cell Biology and Molecular Biology, having authored 22 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (4 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Computational Theory and Mathematics (583 citations) and Cell Biology (202 citations). Łukasz Salwiński has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include David Eisenberg, Ioannis Xénarios, Charlotte M. Deane, Benjamin J. Matthews, Yi Chen, Chiara Sabatti, Daisuke Hattori, S Lawrence Zipursky, Wesley B. Grueber and H. Ronald Kaback. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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