Henning Hamm

192 papers receiving 3.5k citations

Peers

Henning Hamm
Comparison fields: 5 of 116
  • Dermatology 969
  • Urology 317
  • Cell Biology 714
  • Rheumatology 471
  • Physiology 713
Replace J. Mazereeuw‐Hautier with:
J. Mazereeuw‐Hautier France
Peter M. Steijlen Netherlands
Celia Moss United Kingdom
S. Hadj‐Rabia France
Christine Bodemer France
Y. De Prost France
A Claudy France
Ossama Abbas Lebanon
Brian J. Nickoloff United States
Susan Banks‐Schlegel United States
Henning Hamm relative to J. Mazereeuw‐Hautier France J. Mazereeuw‐Hautier's profile →
Citations per field
00.5×2.5×
J. Mazereeuw‐Hautier · 1×
Citations per year

Countries citing papers authored by Henning Hamm

Since Specialization
Citations

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

Fields of papers citing papers by Henning Hamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chromosomal gains and losses in primary cutaneous melanomas detected by comparative genomic hybridization.
1998405
2
Gene amplifications characterize acral melanoma and permit the detection of occult tumor cells in the surrounding skin.
2000179
3 2002129
4 2003117
5 2006110
6 198794
7 200072
8 201869
9 200468
10 201668
11 200764
12 202157
13 200455
14 199953
15 198651
16 199950
17 200848
18 199748
19 199648
20 201446

About Henning Hamm

Henning Hamm is a scholar working on Dermatology, Genetics, Cell Biology, Molecular Biology and Epidemiology, having authored 207 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genetic and rare skin diseases. (42 papers), Skin and Cellular Biology Research (28 papers), Cancer and Skin Lesions (24 papers), Dermatological diseases and infestations (20 papers), Dermatology and Skin Diseases (17 papers), Autoimmune Bullous Skin Diseases (17 papers), Cutaneous Melanoma Detection and Management (15 papers) and Hair Growth and Disorders (15 papers). The work is most often cited by research in Dermatology (969 citations), Urology (317 citations), Cell Biology (714 citations), Rheumatology (471 citations) and Physiology (713 citations). Henning Hamm has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include E.-B. Bröcker, M. Naumann, Boris C. Bastian, Daniel Pinkel, Philip E. LeBoit, Rudolf Happle, Heiko Traupe, Nicholas J. Lowe, Eva‐Bettina Bröcker and Sandrine Benoit. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, British Journal of Dermatology, Journal of Investigative Dermatology, Pediatric Dermatology and Journal of the American Academy of Dermatology.

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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