Ulf Meyer‐Hoffert

58 papers receiving 3.6k citations

Peers

Ulf Meyer‐Hoffert
Comparison fields: 5 of 100
  • Microbiology 839
  • Dermatology 772
  • Cancer Research 383
  • Immunology 502
  • Cell Biology 235
Replace Regine Gläser with:
Regine Gläser Germany
Ian Strickland United States
Patrick L.J.M. Zeeuwen Netherlands
Ivonne M.J.J. van Vlijmen‐Willems Netherlands
J.‐M. Schröder Germany
François Niyonsaba Japan
Michael D Howell United States
Jens‐M. Schröder Germany
Janet M. Trowbridge United States
Kim Theilgaard‐Mönch Denmark
Ulf Meyer‐Hoffert relative to Regine Gläser Germany Regine Gläser's profile →
Citations per field
00.5×2×3.1×
Regine Gläser · 1×
Citations per year

Countries citing papers authored by Ulf Meyer‐Hoffert

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Meyer‐Hoffert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulf Meyer‐Hoffert. 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 Ulf Meyer‐Hoffert. The network helps show where Ulf Meyer‐Hoffert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000369
2 2008244
3 2010227
4 2004187
5 2008186
6 2005175
7 2013162
8 2009118
9 2009111
10 2010109
11 201598
12 200593
13 201389
14 201181
15 200979
16 201077
17 201373
18 200963
19 200461
20 200560

About Ulf Meyer‐Hoffert

Ulf Meyer‐Hoffert is a scholar working on Microbiology, Dermatology, Cancer Research, Cell Biology and Immunology, having authored 59 papers that have together received 3.7k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (19 papers), Protease and Inhibitor Mechanisms (17 papers), Dermatology and Skin Diseases (14 papers), Skin and Cellular Biology Research (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Bacterial biofilms and quorum sensing (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Microbiology (839 citations), Dermatology (772 citations), Cancer Research (383 citations), Immunology (502 citations) and Cell Biology (235 citations). Ulf Meyer‐Hoffert has collaborated with scholars based in Germany, Sweden and Poland. Frequent co-authors include Jens‐Michael Schröder, Oliver Wiedow, Jürgen Harder, Regine Gläser, Joachim Bartels, Zhihong Wu, Luis Manuel Teran, Birgitta Henriques‐Normark, Maike Wittersheim and Steffen Maune. Their work appears in journals such as Journal of Investigative Dermatology, Experimental Dermatology, Archives of Dermatological Research, PLoS ONE and Cellular Microbiology.

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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