Jacques Chasle

873 total citations
30 papers, 660 citations indexed

About

Jacques Chasle is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Jacques Chasle has authored 30 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Cancer Research and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Jacques Chasle's work include Breast Cancer Treatment Studies (7 papers), Sarcoma Diagnosis and Treatment (6 papers) and Breast Lesions and Carcinomas (6 papers). Jacques Chasle is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Sarcoma Diagnosis and Treatment (6 papers) and Breast Lesions and Carcinomas (6 papers). Jacques Chasle collaborates with scholars based in France, Luxembourg and United Kingdom. Jacques Chasle's co-authors include J. Marnay, A.M. Mandard, Paulette Herlin, J.C. Vernhes, Alexandre Roussel, C. Bianco, Yves Denoux, T. Delozier, Jean‐Jacques Michels and A Tanguy and has published in prestigious journals such as Cancer, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Jacques Chasle

28 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Chasle France 12 333 325 189 150 119 30 660
Coindre Jm France 13 285 0.9× 342 1.1× 178 0.9× 230 1.5× 229 1.9× 44 695
Leonardo S. Lino‐Silva Mexico 16 212 0.6× 448 1.4× 193 1.0× 130 0.9× 69 0.6× 94 709
D Hossfeld Germany 11 181 0.5× 362 1.1× 132 0.7× 191 1.3× 103 0.9× 27 614
W. Mellin Germany 13 342 1.0× 252 0.8× 142 0.8× 130 0.9× 152 1.3× 40 649
Gerard J. Oakley United States 14 246 0.7× 279 0.9× 148 0.8× 103 0.7× 101 0.8× 35 755
J Génin France 9 446 1.3× 431 1.3× 147 0.8× 238 1.6× 259 2.2× 33 843
Guowen Wang China 18 554 1.7× 475 1.5× 200 1.1× 80 0.5× 116 1.0× 29 873
Guhyun Kang South Korea 19 289 0.9× 324 1.0× 275 1.5× 188 1.3× 150 1.3× 64 921
Albiruni Abdul Razak Canada 12 267 0.8× 425 1.3× 132 0.7× 56 0.4× 98 0.8× 37 726
Kathrin Katenkamp Germany 14 351 1.1× 351 1.1× 234 1.2× 89 0.6× 98 0.8× 26 906

Countries citing papers authored by Jacques Chasle

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Chasle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Chasle

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Chasle. A scholar is included among the top collaborators of Jacques Chasle 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 Jacques Chasle. Jacques Chasle 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.
Puppa, Giacomo, Carlo Senore, Kieran Sheahan, et al.. (2012). Diagnostic reproducibility of tumour budding in colorectal cancer: a multicentre, multinational study using virtual microscopy. Histopathology. 61(4). 562–575. 74 indexed citations
2.
Puppa, Giacomo, Mauro Risio, Kieran Sheahan, et al.. (2011). Standardization of whole slide image morphologic assessment with definition of a new application: Digital slide dynamic morphometry. Journal of Pathology Informatics. 2(1). 48–48. 3 indexed citations
3.
Aide, Nicolas, Mélanie Briand, Pierre Bohn, et al.. (2010). αvβ3 imaging can accurately distinguish between mature teratoma and necrosis in 18F-FDG-negative residual masses after treatment of non-seminomatous testicular cancer: a preclinical study. European Journal of Nuclear Medicine and Molecular Imaging. 38(2). 323–333. 8 indexed citations
4.
Heutte, Natacha, et al.. (2010). Stromal Compartment as a Survival Prognostic Factor in Advanced Ovarian Carcinoma. International Journal of Gynecological Cancer. 20(1). 28–33. 58 indexed citations
5.
Michels, Jean-Jacques, et al.. (2009). Une tumeur de la rate. Annales de Pathologie. 29(6). 512–514.
6.
7.
Aide, Nicolas, et al.. (2007). Early stage spine infarct accurately diagnosed by 99m Tc-HMDP bone scintigraphy performed on a combined single photon emission computed tomography/computed tomography system correlation with magnetic resonance imaging and histopathological findings.. PubMed. 34(10). 2121–2. 1 indexed citations
8.
Guédin, Pierre, et al.. (2006). Cancer du sein et chondrosarcome osseux : un nouveau syndrome ?. Journal de Radiologie. 87(11). 1700–1704. 2 indexed citations
9.
Jong, Daphne de, J. Bosq, KA MacLennan, et al.. (2005). Lymphocyte-rich classical Hodgkin lymphoma (LRCHL): clinico-pathological characteristics and outcome of a rare entity. Annals of Oncology. 17(1). 141–145. 18 indexed citations
10.
Fruchart, Christophe, Yves Denoux, Jacques Chasle, et al.. (2005). High Grade Primary Breast Lymphoma: is it a Different Clinical Entity?. Breast Cancer Research and Treatment. 93(3). 191–198. 20 indexed citations
11.
Michels, Jean‐Jacques, J. Marnay, Benoît Plancoulaine, & Jacques Chasle. (2004). Flow cytometry in primary breast carcinomas: Prognostic impact of S‐phase fraction according to different analysis patterns. Cytometry Part B Clinical Cytometry. 59B(1). 32–39. 9 indexed citations
12.
Michels, Jean‐Jacques, J. Marnay, T. Delozier, Yves Denoux, & Jacques Chasle. (2004). Proliferative activity in primary breast carcinomas is a salient prognostic factor. Cancer. 100(3). 455–464. 27 indexed citations
13.
Chasle, Jacques, T. Delozier, Yves Denoux, J. Marnay, & Jean Jacques Michels. (2003). Immunohistochemical study of cell cycle regulatory proteins in intraductal breast carcinomas—a preliminary study. European Journal of Cancer. 39(10). 1363–1369. 18 indexed citations
14.
Michels, Jean‐Jacques, J. Marnay, M. Henry‐Amar, et al.. (2003). Flow cytometry and quantitative immunohistochemical study of cell cycle regulation proteins in invasive breast carcinoma. Cancer. 97(6). 1376–1386. 24 indexed citations
15.
Denoux, Yves, et al.. (2003). Double immunohistochemical labeling technique applied to different types of cytokeratins in epithelial proliferations of the breast. Biotechnic & Histochemistry. 78(1). 23–26. 2 indexed citations
16.
Michels, Jean‐Jacques, et al.. (2003). Flow cytometry in primary breast carcinomas: Prognostic impact of multiploidy and hypoploidy. Cytometry Part B Clinical Cytometry. 55B(1). 37–45. 16 indexed citations
17.
Mandard, A.M., J. Marnay, J.-C. Mandard, et al.. (1989). Prognostic factors in soft tissue sarcomas. A multivariate analysis of 109 cases. Cancer. 63(7). 1437–1451. 133 indexed citations
18.
Mandard, A.M., Jacques Chasle, J.-C. Mandard, et al.. (1981). The pathologist's role in a multidisciplinary approach for soft part tissue sarcoma: A reappraisal (39 cases). Journal of Surgical Oncology. 17(1). 69–81. 16 indexed citations
19.
Chasle, Jacques, et al.. (1980). Le dépistage des cancers de la cavité buccale par le bleu de toluidine.. Revue de Stomatologie et de Chirurgie Maxillo-faciale. 81(6). 3 indexed citations
20.
Chasle, Jacques, et al.. (1979). [Desmoplastic malignant melanoma. A case report (author's transl)].. PubMed. 27(6). 389–93. 1 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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