Peter Kaudewitz

2.5k citations
73 papers · 1.7k · h-index 23

Impact in

Papers in

Peter Kaudewitz

71 papers receiving 1.6k citations

Peers

Peter Kaudewitz
Comparison fields: 5 of 74
  • Dermatology 1.1k
  • Pathology and Forensic Medicine 979
  • Oncology 504
  • Immunology 351
  • Epidemiology 425
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E. Scheffer Netherlands
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Guy Orchard United Kingdom
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Citations per year

Countries citing papers authored by Peter Kaudewitz

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kaudewitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993220
2
Primary and secondary cutaneous Ki-1+ (CD30+) anaplastic large cell lymphomas. Morphologic, immunohistologic, and clinical-characteristics.
1989153
3 199789
4 200078
5 198658
6 200152
7 199750
8
Detection of HTLV-I proviral sequences in CD30-positive large cell cutaneous T-cell lymphomas.
199048
9
Tumor cell growth fractions in human malignant melanomas and the correlation to histopathologic tumor grading.
198946
10 200246
11 200145
12
Automated high-resolution polymerase chain reaction fragment analysis: a method for detecting T-cell receptor gamma-chain gene rearrangements in lymphoproliferative diseases.
199845
13 199144
14 199542
15 199642
16 198541
17 199036
18
Reactivity of T cells in mycosis fungoides exhibiting marked epidermotropism with the monoclonal antibody HML-1 that defines a membrane molecule on human mucosal lymphocytes.
198935
19 198534
20 199732

About Peter Kaudewitz

Peter Kaudewitz is a scholar working on Dermatology, Pathology and Forensic Medicine, Oncology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (42 papers), Lymphoma Diagnosis and Treatment (28 papers), Autoimmune Bullous Skin Diseases (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Dermatologic Treatments and Research (7 papers), T-cell and Retrovirus Studies (7 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Dermatology (1.1k citations), Pathology and Forensic Medicine (979 citations), Oncology (504 citations), Immunology (351 citations) and Epidemiology (425 citations). Peter Kaudewitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Otto Braun‐Falco, Günter Burg, F Eckert, Christian A. Sander, Peter Kind, H. Stein, Rein Willemze, Rob C. Beljaards, Emilio Berti and Marco Paulli. Their work appears in journals such as Journal of Investigative Dermatology, Archives of Dermatological Research, British Journal of Dermatology, Dermatologic Surgery and American Journal of Dermatopathology.

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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