Stephan Sollberg

1.7k citations
36 papers · 1.4k · h-index 18

Impact in

Papers in

Stephan Sollberg

32 papers receiving 1.3k citations

Peers

Stephan Sollberg
Comparison fields: 5 of 82
  • Rehabilitation 303
  • Immunology and Allergy 216
  • Cell Biology 422
  • Dermatology 213
  • Pathology and Forensic Medicine 270
Replace Tet-Kin Yeo with:
Tet-Kin Yeo United States
Dimitra Kiritsi Germany
Nicole Maas‐Szabowski Germany
T. Krieg Germany
Sebastian Willenborg Germany
Brian K. Pilcher United States
Vincent Sarrazy France
Johannes S. Kern Germany
Nick L. Occleston United Kingdom
Ahalia M. Ferreira United States
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Citations per field
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Tet-Kin Yeo · 1×
Citations per year

Countries citing papers authored by Stephan Sollberg

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Sollberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000288
2 1992118
3 1998107
4 199285
5 199981
6 199273
7 199969
8
Acidic and basic fibroblast growth factors down-regulate collagen gene expression in keloid fibroblasts.
199363
9 200157
10 199448
11 199244
12 200241
13 199140
14 199238
15
Co-ordinate induction of collagen type I and biglycan expression in keloids.
199638
16 200033
17 199624
18 199717
19 199615
20 199414

About Stephan Sollberg

Stephan Sollberg is a scholar working on Cell Biology, Pathology and Forensic Medicine, Dermatology, Genetics and Molecular Biology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (12 papers), Systemic Sclerosis and Related Diseases (11 papers), Dermatological and Skeletal Disorders (6 papers), Cell Adhesion Molecules Research (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Dermatologic Treatments and Research (4 papers), Wound Healing and Treatments (4 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Rehabilitation (303 citations), Immunology and Allergy (216 citations), Cell Biology (422 citations), Dermatology (213 citations) and Pathology and Forensic Medicine (270 citations). Stephan Sollberg has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jouni Uitto, Thomas Krieg, J Ryynänen, Juha Peltonen, Sabine A. Eming, Gereon Lauer, Melanie Cole, Christiane Querfeld, Karlheinz Mann and Ingo Flamme. Their work appears in journals such as Journal of Investigative Dermatology, British Journal of Dermatology, Journal of Clinical Investigation, Experimental Dermatology and Biochemical and Biophysical Research Communications.

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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