F Eckert

1.2k citations
54 papers · 811 indexed · h-index 16

Impact in

Papers in

F Eckert

52 papers receiving 778 citations

Peers

F Eckert
Comparison fields: 5 of 60
  • Dermatology 568
  • Pathology and Forensic Medicine 349
  • Oncology 280
  • Genetics 67
  • Epidemiology 197
Replace Helmut Kerl with:
Helmut Kerl Austria
Christian Hallermann Germany
S Hödl Austria
B Chouvet France
Jai‐Kyoung Koh South Korea
Raymond L. Barnhill United States
Marcelo G. Horenstein United States
Marisa Baldassano United States
Marco Ungari Italy
M. Yadira Hurley United States
F Eckert relative to Helmut Kerl Austria Helmut Kerl's profile →
Citations per field
00.5×1.5×
Helmut Kerl · 1×
Citations per year

Countries citing papers authored by F Eckert

Since Specialization
Citations

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

Fields of papers citing papers by F Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Primary and secondary cutaneous Ki-1+ (CD30+) anaplastic large cell lymphomas. Morphologic, immunohistologic, and clinical-characteristics.
1989153
2 199357
3 199246
4 199745
5 199144
6 199542
7 199237
8 199036
9 199130
10 199425
11 198724
12 199220
13 199417
14 198916
15 198816
16 199216
17 199415
18 199413
19 198611
20
[Pseudolymphoma following tattooing].
199010

About F Eckert

F Eckert is a scholar working on Dermatology, Pathology and Forensic Medicine, Rheumatology, Genetics and Oncology, having authored 54 papers that have together received 811 indexed citations. Recurring topics across this work include Cancer and Skin Lesions (17 papers), Cutaneous lymphoproliferative disorders research (9 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Soft tissue tumor case studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Vascular Tumors and Angiosarcomas (5 papers) and Tumors and Oncological Cases (4 papers). The work is most often cited by research in Dermatology (568 citations), Pathology and Forensic Medicine (349 citations), Oncology (280 citations), Genetics (67 citations) and Epidemiology (197 citations). F Eckert has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include U Schmid, Otto Braun‐Falco, Peter Kaudewitz, Günter Burg, M Nilles, Pierre A. de Viragh, Christian Schmoeckel, Katja Bieber, H Stein and M. Altmannsberger. Their work appears in journals such as Journal of the American Academy of Dermatology, American Journal of Dermatopathology, Journal of Cutaneous Pathology, British Journal of Dermatology and JDDG Journal der Deutschen Dermatologischen Gesellschaft.

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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