U. Hofmann

2.3k total citations
37 papers, 1.8k citations indexed

About

U. Hofmann is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, U. Hofmann has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Cancer Research and 11 papers in Molecular Biology. Recurrent topics in U. Hofmann's work include Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (11 papers) and Cell Adhesion Molecules Research (10 papers). U. Hofmann is often cited by papers focused on Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (11 papers) and Cell Adhesion Molecules Research (10 papers). U. Hofmann collaborates with scholars based in Germany, Netherlands and Denmark. U. Hofmann's 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, Klaus V. Toyka and Markus Naumann and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

U. Hofmann

36 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
U. Hofmann Germany 18 706 668 588 511 284 37 1.8k
Venkateshwar A. Reddy United States 17 1.4k 1.9× 807 1.2× 289 0.5× 140 0.3× 227 0.8× 29 2.1k
Daniel Wicklein Germany 24 766 1.1× 521 0.8× 363 0.6× 317 0.6× 122 0.4× 60 1.6k
Hiroaki Asaga Japan 16 583 0.8× 230 0.3× 253 0.4× 291 0.6× 148 0.5× 22 1.5k
Shuling Ren China 28 1.3k 1.9× 306 0.5× 585 1.0× 338 0.7× 137 0.5× 46 2.5k
Maria Rosa Bani Italy 28 1.6k 2.2× 789 1.2× 509 0.9× 304 0.6× 176 0.6× 62 2.4k
Matthieu Lacroix France 18 1.1k 1.6× 516 0.8× 302 0.5× 252 0.5× 245 0.9× 28 2.0k
Charles R. Hanning United States 12 778 1.1× 319 0.5× 294 0.5× 116 0.2× 95 0.3× 12 1.4k
Brigitte Lankat–Buttgereit Germany 22 1.1k 1.5× 304 0.5× 339 0.6× 92 0.2× 176 0.6× 46 1.9k
Csaba Kari United States 24 1.1k 1.6× 673 1.0× 217 0.4× 141 0.3× 232 0.8× 34 1.9k
Norma Howells Germany 13 1.0k 1.5× 321 0.5× 220 0.4× 132 0.3× 386 1.4× 13 1.8k

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-authorship network of co-authors of U. Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of U. Hofmann. A scholar is included among the top collaborators of U. Hofmann 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 U. Hofmann. U. Hofmann 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
1.
Hofmann, U., Heike Voigt, Mads Hald Andersen, et al.. (2009). Identification and characterization of survivin‐derived H‐2Kb‐restricted CTL epitopes. European Journal of Immunology. 39(5). 1419–1424. 19 indexed citations
2.
Voigt, Heike, et al.. (2007). Matrix Metalloproteinase Induction in the Tumor Stroma Does Not Depend on CD147 Expression in Murine B16 Melanoma. Tumor Biology. 28(4). 229–237. 4 indexed citations
3.
Hofmann, U., James P.B. O’Connor, Chandra Shekhar Biyani, et al.. (2006). Retroperitoneal metastatic squamous cell carcinoma of the tonsil (with elevated beta human chorionic gonadotrophin): a misdiagnosis as extra-gonadal germ cell tumour. The Journal of Laryngology & Otology. 120(10). 885–887. 7 indexed citations
4.
Vetter, K., Peter Groneck, Egbert Herting, et al.. (2006). Recommendations on the Structural Prerequisites for Perinatal Care in Germany. Zeitschrift für Geburtshilfe und Neonatologie. 210(1). 19–24. 12 indexed citations
5.
Hofmann, U., Martina Hund, Eva‐Bettina Bröcker, & Henning Hamm. (2005). „Lues maligna” bei insulinpflichtigem Diabetes mellitus. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 3(10). 780–782. 10 indexed citations
6.
Hofmann, U., Roland Houben, Eva‐B. Bröcker, & Jürgen C. Becker. (2005). Role of matrix metalloproteinases in melanoma cell invasion. Biochimie. 87(3-4). 307–314. 132 indexed citations
7.
Hofmann, U., et al.. (2005). Stromal cells as the major source for matrix metalloproteinase-2 in cutaneous melanoma. Archives of Dermatological Research. 297(4). 154–160. 19 indexed citations
8.
Hartmann, Anke, et al.. (2004). Postnatal Confirmation of Prenatally Diagnosed Trisomy 20 Mosaicism in a Patient with Linear and Whorled Nevoid Hypermelanosis. Pediatric Dermatology. 21(6). 636–641. 23 indexed citations
9.
Hofmann, U., Jürgen C. Becker, & E B Bröcker. (2002). Bedeutung von Matrix-degradierenden Enzymen für die Melanomprogression. Der Hautarzt. 53(9). 587–595. 4 indexed citations
10.
Ogilvie, Patricia, U. Hofmann, E.-B. Bröcker, & Henning Hamm. (2002). Hautmanifestationen der Fanconi-Anämie. Der Hautarzt. 53(4). 253–257. 3 indexed citations
11.
Terheyden, Patrick, U. Hofmann, Henning Hamm, & E.-B. Bröcker. (2001). Erythrodermie nach Kortikosteroidentzug bei papulosquamöser Dermatose im Kindesalter. Der Hautarzt. 52(11). 1058–1061. 6 indexed citations
12.
Hofmann, U., Johan R. Westphal, Goos N.P. van Muijen, & Dirk J. Ruiter. (2000). Matrix Metalloproteinases in Human Melanoma. Journal of Investigative Dermatology. 115(3). 337–344. 358 indexed citations
13.
Hofmann, U., J R Westphal, Erwin T. Waas, et al.. (1999). Matrix metalloproteinases in human melanoma cell lines and xenografts: increased expression of activated matrix metalloproteinase-2 (MMP-2) correlates with melanoma progression. British Journal of Cancer. 81(5). 774–782. 135 indexed citations
14.
Hofmann, U., Nicola Wagner, T. Grimm, E.‐B. Bröcker, & Henning Hamm. (1998). Streifen- und wirbelförmige nävoide Hypermelanose : Fallbeschreibung und Literaturübersicht. Der Hautarzt. 49(5). 408–412. 1 indexed citations
15.
Naumann, Markus, et al.. (1998). Focal Hyperhidrosis. Archives of Dermatology. 134(3). 301–301. 182 indexed citations
16.
Hofmann, U., Patricia Ogilvie, Wolfgang Müllges, Eva-Bettina Bröcker, & Henning Hamm. (1998). Congenital unilateral speckled lentiginous blue nevi with asymmetric spinal muscular atrophy. Journal of the American Academy of Dermatology. 39(2). 326–329. 13 indexed citations
17.
Hofmann, U. & Mosaad Megahed. (1995). Amelanotisches nodul�res malignes Melanom der Vulva Fallbericht und Literatur�bersicht. Der Hautarzt. 46(12). 850–853. 4 indexed citations
18.
Megahed, Mosaad, U. Hofmann, Karin Scharffetter‐­Kochanek, & Thomas Ruzicka. (1994). Amelanotisches polypoides malignes Melanom vom Ballonzelltyp. Der Pathologe. 15(6). 350–353. 3 indexed citations
19.
Hofmann, U., et al.. (1992). [Grouped and combined blue nevi].. PubMed. 43(8). 517–9. 5 indexed citations
20.
Melnik, Bodo C., et al.. (1990). Lipid composition of outer stratum corneum and nails in atopic and control subjects. Archives of Dermatological Research. 282(8). 549–551. 55 indexed citations

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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