Clément Orczyk

1.4k citations
37 papers · 783 · h-index 16

Impact in

Papers in

Clément Orczyk

35 papers receiving 783 citations

Peers

Clément Orczyk
Comparison fields: 5 of 61
  • Pulmonary and Respiratory Medicine 677
  • Rheumatology 213
  • Radiology, Nuclear Medicine and Imaging 245
  • Urology 49
  • Radiation 49
Replace Ionel Valentin Popeneciu with:
Ionel Valentin Popeneciu Germany
Francis Ting Australia
Berrend G. Muller Netherlands
Amila Siriwardana Australia
Celene Chua United States
Lucy Simmons United Kingdom
Christophe K. Mannaerts Netherlands
Amirhossein Mohammadian Bajgiran United States
Erem Asil Türkiye
Max X. Kong United States
Clément Orczyk relative to Ionel Valentin Popeneciu Germany Ionel Valentin Popeneciu's profile →
Citations per field
00.5×1.5×2.1×
Ionel Valentin Popeneciu · 1×
Citations per year

Countries citing papers authored by Clément Orczyk

Since Specialization
Citations

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

Fields of papers citing papers by Clément Orczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015135
2 2020101
3 201988
4 201469
5 202040
6 202336
7 201927
8 201324
9 202021
10 202021
11 201820
12 201919
13 201218
14 202117
15 201917
16 202017
17 201915
18 201913
19 201412
20 201312

About Clément Orczyk

Clément Orczyk is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Rheumatology and Urology, having authored 37 papers that have together received 783 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (33 papers), Prostate Cancer Treatment and Research (26 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Urologic and reproductive health conditions (6 papers), MRI in cancer diagnosis (5 papers), Bladder and Urothelial Cancer Treatments (5 papers), Advanced Radiotherapy Techniques (3 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (677 citations), Rheumatology (213 citations), Radiology, Nuclear Medicine and Imaging (245 citations), Urology (49 citations) and Radiation (49 citations). Clément Orczyk has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Mark Emberton, Henry Rusinek, Samir S. Taneja, Andrew B. Rosenkrantz, Caroline M. Moore, Jonathan Melamed, Francesco Giganti, Clare Allen, Alex Freeman and Shonit Punwani. Their work appears in journals such as British Journal of Urology, The Journal of Urology, Clinical Radiology, Journal of Clinical Oncology and European Urology.

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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