Mateusz Kolanczyk

1.6k citations
28 papers · 1.3k · h-index 19

Impact in

  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases
  • Rheumatology top 10%
    • Soft tissue tumor case studies
    • Bone Tumor Diagnosis and Treatments

Papers in

Mateusz Kolanczyk

28 papers receiving 1.3k citations

Peers

Mateusz Kolanczyk
Comparison fields: 5 of 97
  • Neurology 327
  • Rheumatology 155
  • Immunology and Allergy 54
  • Cell Biology 144
  • Molecular Biology 557
Replace Frans van Valen with:
Frans van Valen Germany
Jirko Kühnisch Germany
Luís Garcia Alonso Brazil
Atsuko Nishikawa Japan
Giuseppina Di Giacomo Italy
Kiyomi Yamada Japan
Ian D. Tonks Australia
Francis S. Collins United States
Mark P. White United States
María José Ruiz‐Hidalgo Spain
Mateusz Kolanczyk relative to Frans van Valen Germany Frans van Valen's profile →
Citations per field
00.5×2×2.6×
Frans van Valen · 1×
Citations per year

Countries citing papers authored by Mateusz Kolanczyk

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Kolanczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mateusz Kolanczyk, 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 Mateusz Kolanczyk Line = papers co-authored together Mateusz Kolanczyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006276
2 2009128
3 2007112
4 2005102
5 201061
6 201151
7 201451
8 201347
9 200645
10 200542
11 200842
12 201841
13 201338
14 201137
15 201325
16 201424
17 201222
18 201422
19 201021
20 201018

About Mateusz Kolanczyk

Mateusz Kolanczyk is a scholar working on Neurology, Rheumatology, Molecular Biology, Genetics and Cell Biology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (11 papers), Sarcoma Diagnosis and Treatment (3 papers), Soft tissue tumor case studies (3 papers), Connective tissue disorders research (3 papers), Mitochondrial Function and Pathology (3 papers), CRISPR and Genetic Engineering (2 papers), Fibroblast Growth Factor Research (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Neurology (327 citations), Rheumatology (155 citations), Immunology and Allergy (54 citations), Cell Biology (144 citations) and Molecular Biology (557 citations). Mateusz Kolanczyk has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Mundlos, Tomasz Żemojtel, Martin Vingron, Pavel Martásek, Ivan Mikula, Lucjan Stanislaw Wyrwicz, Andrew A. Frohlich, Maddalena Palmieri, Erich E. Wanker and Jirko Kühnisch. Their work appears in journals such as Bone, Human Molecular Genetics, PLoS ONE, BMC Medicine and European Journal of Human Genetics.

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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