Paweł Widera

682 citations
16 papers · 463 indexed · 1 hit paper · h-index 9
Topics
Osteoarthritis Treatment and Mechanisms (6 papers)Machine Learning in Bioinformatics (3 papers)Protein Structure and Dynamics (3 papers)

In The Last Decade

Paweł Widera

16 papers receiving 459 citations

Hit Papers

Osteoarthritis endotype discovery via clustering of bioch...20222026202320242022255075

Peers

Paweł Widera
Comparison fields: 5 of 92
  • Molecular Biology 192
  • Plant Science 153
  • Rheumatology 126
  • Artificial Intelligence 46
  • Surgery 40
Replace Daniel Moreno-Andrés with:
Daniel Moreno-Andrés Germany
Yingquan Luo China
Bing Gao China
Brendan Vaughan United Kingdom
Shichao Zhang China
Huiya Huang United States
Francine Hoffmann Switzerland
Benjamin Hur United States
Paweł Widera relative to Daniel Moreno-Andrés Germany Daniel Moreno-Andrés's profile →
Citations per field
00.5×6.7×
Daniel Moreno-Andrés · 1×
Citations per year

Countries citing papers authored by Paweł Widera

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Widera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Widera

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Widera. A scholar is included among the top collaborators of Paweł Widera 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 Paweł Widera. Paweł Widera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1
Osteoarthritis endotype discovery via clustering of biochemical marker databreakdown →
97
2 1
3 8
4 9
5 26
6 48
7 4
8 5
9 6
10 9
11 7
12 35
13 165
14 29
15 11
16 3

About Paweł Widera

Paweł Widera is a scholar working on Rheumatology, Pharmacology and Molecular Biology, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Rheumatology (126 citations), Plant Science (153 citations) and Health Informatics (5 citations). Paweł Widera has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Natalio Krasnogor, Jaume Bacardit, C. Ladel, Jonathan Larkin, Ali Mobasheri, Bas J. W. Dekkers, Andrew T. A. Wood, James Gilbert, Ivo Große and Kerstin Müller. Their work appears in journals such as Bioinformatics, PLANT PHYSIOLOGY and Scientific Reports.

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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