U. Hofmann

37 papers receiving 1.8k citations

Peers

U. Hofmann
Comparison fields: 5 of 104
  • Immunology and Allergy 454
  • Cancer Research 565
  • Oncology 606
  • Dermatology 184
  • Cell Biology 273
Replace Matthieu Lacroix with:
Matthieu Lacroix France
Hiroaki Asaga Japan
Juliane Lüscher‐Firzlaff Germany
Jørgen K. Larsen Denmark
Csaba Kari United States
Venkateshwar A. Reddy United States
Ramin Massoumi Sweden
Gabriel Wong United States
Mikiro Takaishi Japan
E. Kenneth Parkinson United Kingdom
U. Hofmann relative to Matthieu Lacroix France Matthieu Lacroix's profile →
Citations per field
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Matthieu Lacroix · 1×
Citations per year

Countries citing papers authored by U. Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by U. Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000370
2 1998189
3 2000155
4 2005138
5 1999137
6 2000117
7
Expression of matrix metalloproteinases in the microenvironment of spontaneous and experimental melanoma metastases reflects the requirements for tumor formation.
200396
8 200085
9 200874
10
Induction of vascular endothelial growth factor receptor-3 expression on tumor microvasculature as a new progression marker in human cutaneous melanoma.
200267
11 200460
12 199060
13 200954
14 202153
15
Comparison of S100 protein and MIA protein as serum marker for malignant melanoma.
200042
16 200427
17 200921
18 200521
19 200316
20 199815

About U. Hofmann

U. Hofmann is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Allergy and Dermatology, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Peptidase Inhibition and Analysis (10 papers), Cell Adhesion Molecules Research (9 papers), Genetic and rare skin diseases. (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Cancer and Skin Lesions (3 papers), Skin and Cellular Biology Research (3 papers) and Skin Diseases and Diabetes (3 papers). The work is most often cited by research in Immunology and Allergy (454 citations), Cancer Research (565 citations), Oncology (606 citations), Dermatology (184 citations) and Cell Biology (273 citations). U. Hofmann has collaborated with scholars based in Germany, Netherlands and Denmark. Frequent co-authors include Goos N.P. van Muijen, Johan R. Westphal, Dirk J. Ruiter, Jürgen C. Becker, Roland Houben, Eva‐B. Bröcker, Albert J.W. Zendman, Erwin T. Waas, Markus Naumann and Klaus V. Toyka. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Pathology, Archives of Dermatological Research, Pediatric Dermatology and Biochimie.

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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