Mateusz S. Wietecha

1.0k citations
22 papers · 768 indexed · h-index 14
Topics
Wound Healing and Treatments (13 papers)Mesenchymal stem cell research (3 papers)Cellular Mechanics and Interactions (3 papers)

In The Last Decade

Mateusz S. Wietecha

20 papers receiving 754 citations

Peers

Mateusz S. Wietecha
Comparison fields: 5 of 99
  • Molecular Biology 301
  • Rehabilitation 231
  • Surgery 90
  • Cancer Research 80
  • Oncology 77
Replace Feng‐Lai Yuan with:
Feng‐Lai Yuan China
Xiaolei Ding China
Keith M. Blechman United States
Yoko Yokoyama Japan
Ran Yu China
Shuang‐Bai Zhou China
Dewu Liu China
Kentaro Kubo Japan
Betty Laverdet France
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Mateusz S. Wietecha relative to Feng‐Lai Yuan China Feng‐Lai Yuan's profile →
Citations per field
00.5×4.6×
Feng‐Lai Yuan · 1×
Citations per year

Countries citing papers authored by Mateusz S. Wietecha

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz S. Wietecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz S. Wietecha

This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz S. Wietecha. A scholar is included among the top collaborators of Mateusz S. Wietecha 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 Mateusz S. Wietecha. Mateusz S. Wietecha 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 0
2 0
3 2
4 5
5 8
6 8
7 2
8 55
9 17
10 41
11 62
12 136
13 22
14 31
15 27
16 58
17 74
18 49
19 71
20
Thyroid status and muscarinic receptor density and affinity in rat intestinal smooth muscle.
4

About Mateusz S. Wietecha

Mateusz S. Wietecha is a scholar working on Rehabilitation, Dermatology and Genetics, having authored 22 papers that have together received 768 indexed citations. Recurring topics across this work include Wound Healing and Treatments (13 papers), Mesenchymal stem cell research (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Rehabilitation (231 citations), Dermatology (77 citations) and Occupational Therapy (29 citations). Mateusz S. Wietecha has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Luisa A. DiPietro, Sabine Werner, Michael Cangkrama, Timothy S. Gaginella, Thomas J. Rimele, Jürgen Brinckmann, Eric Haertel, Edoardo Mazza, Marco Pensalfini and Hans‐Dietmar Beer. Their work appears in journals such as Nature Communications, The Journal of Physiology and The FASEB Journal.

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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