C. Perlet

638 citations
21 papers · 493 indexed · h-index 12

Impact in

Papers in

C. Perlet

18 papers receiving 471 citations

Peers

C. Perlet
Comparison fields: 5 of 37
  • Pathology and Forensic Medicine 327
  • Radiology, Nuclear Medicine and Imaging 380
  • Cancer Research 99
  • Oncology 45
  • Dermatology 13
Replace A Teifke with:
A Teifke Germany
B. Boné Sweden
A Cilotti Italy
Yeong Yi An South Korea
P. Viehweg Germany
Claudio Ferranti Italy
Sanaz A. Jansen United States
S Bergonzi Italy
Juliana Alves de Souza Brazil
T. W. Vomweg Germany
C. Perlet relative to A Teifke Germany A Teifke's profile →
Citations per field
00.5×1.5×
A Teifke · 1×
Citations per year

Countries citing papers authored by C. Perlet

Since Specialization
Citations

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

Fields of papers citing papers by C. Perlet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006144
2 200292
3 200239
4 200031
5 199928
6 200224
7 200223
8 200523
9 199715
10 199713
11
[Dynamic MR-mammography in invasive lobular breast cancer].
199812
12 199811
13 200010
14 200510
15 199710
16 20024
17 20023
18
[Preoperative marking of non-palpable mammary lesions on the magnetic resonance image using a body coil].
19981
19
A comparison of digital luminescence mammography and conventional film - screen system: preliminary results of clinical evaluation.
19980
20 20040

About C. Perlet

C. Perlet is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (11 papers), Breast Lesions and Carcinomas (9 papers), Breast Cancer Treatment Studies (7 papers), Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Implant and Reconstruction (2 papers), Digital Radiography and Breast Imaging (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (327 citations), Radiology, Nuclear Medicine and Imaging (380 citations), Cancer Research (99 citations), Oncology (45 citations) and Dermatology (13 citations). C. Perlet has collaborated with scholars based in Germany, France and Sweden. Frequent co-authors include H. Sittek, Maximilian F. Reiser, Jan Casselman, A. Heinig, Patrice Taourel, Philipp Schneider, M. Keßler, L. Bååth, Marc L. Kessler and Michael Untch. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, European Radiology, Cancer, Breast Cancer Research and Treatment and Der Radiologe.

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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