P. Chérel

1.3k total citations
39 papers, 816 citations indexed

About

P. Chérel is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, P. Chérel has authored 39 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 18 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in P. Chérel's work include Breast Lesions and Carcinomas (20 papers), Breast Cancer Treatment Studies (17 papers) and Cancer and Skin Lesions (9 papers). P. Chérel is often cited by papers focused on Breast Lesions and Carcinomas (20 papers), Breast Cancer Treatment Studies (17 papers) and Cancer and Skin Lesions (9 papers). P. Chérel collaborates with scholars based in France, Canada and Spain. P. Chérel's co-authors include Denise Stevens, Guinebretière Jm, Véronique Becette, Jean‐Louis Alberini, C. Cohen-Solal, Myriam Wartski, S. Lasry, M. Tubiana-Hulin, Jacques Rouëssé and Emmanuelle Fourme and has published in prestigious journals such as Cancer, Cancer Research and Radiology.

In The Last Decade

P. Chérel

33 papers receiving 792 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Chérel France 15 345 329 285 243 164 39 816
Snjez̆ana Frković‐Grazio Slovenia 19 381 1.1× 268 0.8× 302 1.1× 101 0.4× 113 0.7× 30 846
Dieter Lampe Germany 14 550 1.6× 412 1.3× 425 1.5× 333 1.4× 75 0.5× 32 1.1k
Quirino Piubello Italy 17 359 1.0× 379 1.2× 269 0.9× 96 0.4× 181 1.1× 26 862
Muneaki Sano Japan 19 400 1.2× 568 1.7× 202 0.7× 185 0.8× 202 1.2× 71 1.1k
Chikako Shimizu Japan 17 484 1.4× 626 1.9× 205 0.7× 118 0.5× 166 1.0× 53 975
Massimo Rinaldo Italy 15 299 0.9× 307 0.9× 147 0.5× 160 0.7× 104 0.6× 29 690
K. Mehta Germany 14 669 1.9× 809 2.5× 277 1.0× 146 0.6× 91 0.6× 28 1.1k
Tracey Weisberg United States 7 818 2.4× 761 2.3× 287 1.0× 202 0.8× 289 1.8× 14 1.3k
N. Fersis Germany 14 266 0.8× 275 0.8× 108 0.4× 200 0.8× 96 0.6× 37 684
Svjetlana Mohrmann Germany 16 441 1.3× 588 1.8× 160 0.6× 222 0.9× 236 1.4× 63 1.1k

Countries citing papers authored by P. Chérel

Since Specialization
Citations

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

Fields of papers citing papers by P. Chérel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Chérel

This figure shows the co-authorship network connecting the top 25 collaborators of P. Chérel. A scholar is included among the top collaborators of P. Chérel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Chérel. P. Chérel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mimoun, Camille, J Séror, P. Chérel, et al.. (2020). A Pre-operative Score to Discriminate Fibroepithelial Lesions of the Breast: Phyllode Tumor or Fibroadenoma?. Anticancer Research. 40(2). 1095–1100. 7 indexed citations
2.
Boughdad, Sarah, Laurence Champion, Véronique Becette, et al.. (2020). Early metabolic response of breast cancer to neoadjuvant endocrine therapy: comparison to morphological and pathological response. Cancer Imaging. 20(1). 11–11. 7 indexed citations
3.
Bataillon, Guillaume, et al.. (2018). Hyperechoic breast images: all that glitters is not gold!. Insights into Imaging. 9(2). 199–209. 4 indexed citations
4.
Balleyguier, Corinne, P. Chérel, Domenico Lepori, et al.. (2016). Underestimation Rate at MR Imaging–guided Vacuum-assisted Breast Biopsy: A Multi-Institutional Retrospective Study of 1509 Breast Biopsies. Radiology. 281(3). 708–719. 25 indexed citations
5.
Langer, A., et al.. (2015). Breast lumps in pregnant women. Diagnostic and Interventional Imaging. 96(10). 1077–1087. 27 indexed citations
6.
Langer, A., et al.. (2014). A single-institution study of 117 pregnancy-associated breast cancers (PABC): Presentation, imaging, clinicopathological data and outcome. Diagnostic and Interventional Imaging. 95(4). 435–441. 51 indexed citations
7.
Becette, Véronique, et al.. (2014). Masses in mammography: What are the underlying anatomopathological lesions?. Diagnostic and Interventional Imaging. 95(2). 124–133. 23 indexed citations
8.
Champion, Laurence, Florence Lerebours, P. Chérel, et al.. (2013). 18F-FDG PET/CT imaging versus dynamic contrast-enhanced CT for staging and prognosis of inflammatory breast cancer. European Journal of Nuclear Medicine and Molecular Imaging. 40(8). 1206–1213. 28 indexed citations
9.
Scodan, Romuald Le, Christophe Massard, Maya Gutierrez, et al.. (2011). Brain metastases from breast cancer: prognostic significance of HER-2 overexpression, effect of trastuzumab and cause of death. BMC Cancer. 11(1). 395–395. 48 indexed citations
10.
Barranger, Emmanuel, et al.. (2011). Rates of upgrade to malignancy for 271 cases of flat epithelial atypia (FEA) diagnosed by breast core biopsy. Breast Cancer Research and Treatment. 133(2). 659–666. 33 indexed citations
11.
Alberini, Jean‐Louis, Florence Lerebours, Myriam Wartski, et al.. (2009). 18F‐fluorodeoxyglucose positron emission tomography/computed tomography (FDG‐PET/CT) imaging in the staging and prognosis of inflammatory breast cancer. Cancer. 115(21). 5038–5047. 94 indexed citations
12.
Jackson, Amanda, Akeila Bellahcène, Nadia Rucci, et al.. (2008). A Six-Gene Signature Predicting Breast Cancer Lung Metastasis. Cancer Research. 68(15). 6092–6099. 121 indexed citations
13.
Soussan, Michaël, Myriam Wartski, P. Chérel, et al.. (2007). Impact of FDG PET-CT imaging on the decision making in the biologic suspicion of ovarian carcinoma recurrence. Gynecologic Oncology. 108(1). 160–165. 44 indexed citations
14.
Tubiana-Hulin, M., Denise Stevens, S. Lasry, et al.. (2006). Response to neoadjuvant chemotherapy in lobular and ductal breast carcinomas: a retrospective study on 860 patients from one institution. Annals of Oncology. 17(8). 1228–1233. 142 indexed citations
15.
Khoury, Mona El, et al.. (2006). Caractéristiques mammographiques des récidives locales des carcinomes canalaires in-situ après traitement conservateur. Journal de Radiologie. 87(5). 555–559. 2 indexed citations
16.
Khoury, Mona El, et al.. (2006). Leiomyosarcoma of the great saphenous vein. Australasian Radiology. 50(5). 500–503. 11 indexed citations
17.
Jm, Guinebretière, Emmanuelle Menet, A. Tardivon, P. Chérel, & D. Vanel. (2005). Normal and pathological breast, the histological basis. European Journal of Radiology. 54(1). 6–14. 37 indexed citations
18.
Chérel, P., et al.. (2002). Macrobiopsies mammaires par aspiration : problèmes posés au radiologue. 12. 130–141. 9 indexed citations
19.
Bertheault-Cvitkovic, F., et al.. (1998). Le traitement du cancer du sein après 70 ans. A propos de 1143 cas. Chirurgie. 123(4). 379–386. 3 indexed citations
20.
Thomas, Fabienne, et al.. (1988). Thoracic CT-scanning follow-up of residual mediastinal masses after treatment of Hodgkin's disease. Radiotherapy and Oncology. 11(2). 119–122. 16 indexed citations

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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