U. Hofmann

36 papers receiving 1.7k citations

Peers

U. Hofmann
Comparison fields: 5 of 100
  • Immunology and Allergy 511
  • Cancer Research 588
  • Oncology 668
  • Dermatology 194
  • Cell Biology 284
Replace Hiroaki Asaga with:
Hiroaki Asaga Japan
Matthieu Lacroix France
Venkateshwar A. Reddy United States
Jørgen K. Larsen Denmark
Mikiro Takaishi Japan
Daniel Wicklein Germany
Eiji Sugihara Japan
Csaba Kari United States
Fawzi Aoudjit Canada
Pia Wallbrandt Sweden
U. Hofmann relative to Hiroaki Asaga Japan Hiroaki Asaga's profile →
Citations per field
00.5×3.1×
Hiroaki Asaga · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000358
2 1998182
3 2000148
4 1999135
5 2005132
6 2000111
7
Expression of matrix metalloproteinases in the microenvironment of spontaneous and experimental melanoma metastases reflects the requirements for tumor formation.
200394
8 200082
9 200867
10
Induction of vascular endothelial growth factor receptor-3 expression on tumor microvasculature as a new progression marker in human cutaneous melanoma.
200265
11 199055
12 200455
13 200953
14 202145
15
Comparison of S100 protein and MIA protein as serum marker for malignant melanoma.
200041
16 200423
17 200919
18 200519
19 200316
20 199813

About U. Hofmann

U. Hofmann is a scholar working on Oncology, Cancer Research, Molecular Biology, Dermatology and Immunology and Allergy, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (11 papers), Cell Adhesion Molecules Research (10 papers), Genetic and rare skin diseases. (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Dermatology and Skin Diseases (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 (511 citations), Cancer Research (588 citations), Oncology (668 citations), Dermatology (194 citations) and Cell Biology (284 citations). U. Hofmann has collaborated with scholars based in Germany, Netherlands and United Kingdom. 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, Karlheinz Reiners and Klaus V. Toyka. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Pathology, Archives of Dermatological Research, Journal of the American Academy of Dermatology and British Journal of Cancer.

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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