A Chassevent

415 total citations
24 papers, 329 citations indexed

About

A Chassevent is a scholar working on Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, A Chassevent has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 11 papers in Pathology and Forensic Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in A Chassevent's work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (5 papers) and Sarcoma Diagnosis and Treatment (3 papers). A Chassevent is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (5 papers) and Sarcoma Diagnosis and Treatment (3 papers). A Chassevent collaborates with scholars based in France, Germany and United States. A Chassevent's co-authors include F. Spyratos, F Larra, Reza Parwaresch, P. Rudolph, F. Collin, F. Bonichon, J.M. Coindre, Udo Kellner, Didier Wion and S Romain and has published in prestigious journals such as Cancer, Breast Cancer Research and Treatment and Surgical Endoscopy.

In The Last Decade

A Chassevent

23 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A Chassevent France 11 126 125 111 101 78 24 329
Kimberly F. Kerstann United States 5 137 1.1× 67 0.5× 174 1.6× 82 0.8× 49 0.6× 9 400
Francis Wright United States 10 168 1.3× 110 0.9× 162 1.5× 139 1.4× 49 0.6× 21 437
Mohammad Daremipouran United States 8 108 0.9× 114 0.9× 176 1.6× 123 1.2× 33 0.4× 16 341
C. Minguillon Germany 10 200 1.6× 99 0.8× 179 1.6× 62 0.6× 50 0.6× 23 423
Julia Ellermann Germany 3 60 0.5× 70 0.6× 119 1.1× 55 0.5× 50 0.6× 3 251
Hidenori FUJII Japan 7 99 0.8× 91 0.7× 166 1.5× 39 0.4× 45 0.6× 35 333
Kanagasabai Sahadevan United Kingdom 9 95 0.8× 62 0.5× 310 2.8× 81 0.8× 113 1.4× 13 457
Hang‐bo Zhou China 10 111 0.9× 59 0.5× 159 1.4× 69 0.7× 87 1.1× 43 347
En‐Hua Wang China 10 119 0.9× 42 0.3× 196 1.8× 52 0.5× 54 0.7× 28 360

Countries citing papers authored by A Chassevent

Since Specialization
Citations

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

Fields of papers citing papers by A Chassevent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Chassevent

This figure shows the co-authorship network connecting the top 25 collaborators of A Chassevent. A scholar is included among the top collaborators of A Chassevent 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 A Chassevent. A Chassevent 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.
Baranger, Laurence, Nicole Dastugue, A Robert, et al.. (2009). DNA Index in childhood acute lymphoblastic leukaemia: a karyotypic method to validate the flow cytometric measurement. International Journal of Laboratory Hematology. 32(3). 288–298. 23 indexed citations
2.
Verrièle, Véronique, et al.. (2008). Pure mucinous carcinomas of the breast: Prognostic study including DNA flow cytometry. Cytometry Part B Clinical Cytometry. 76B(1). 56–62. 5 indexed citations
3.
Corre, Ludovic Le, Nasséra Chalabi, Yves‐Jean Bignon, et al.. (2005). Quantitative analysis of BRCA1, BRCA2 and Hmsh2 mRNA expression in colorectal Lieberkühnien adenocarcinomas and matched normal mucosa: relationship with cellular proliferation.. PubMed. 25(3B). 2009–16. 2 indexed citations
4.
Bagwell, C. Bruce, Clark Gm, F. Spyratos, et al.. (2001). Multivariate analyses of flow cytometric S-phase and ploidy as node-negative breast cancer prognostic factors : an international and multi-center study. Breast Cancer Research and Treatment. 69(3). 260–260. 1 indexed citations
5.
Fondrinier, É., M. Boisdron‐Celle, A Chassevent, G. Lorimier, & Érick Gamelin. (2001). Experimental assessment of tumor growth and dissemination of a microscopic peritoneal carcinomatosis after CO2 peritoneal insufflation or laparotomy. Surgical Endoscopy. 15(8). 843–848. 3 indexed citations
6.
Bagwell, C. Bruce, Clark Gm, F. Spyratos, et al.. (2001). Optimizing flow cytometric DNA ploidy and S‐phase fraction as independent prognostic markers for node‐negative breast cancer specimens. Cytometry. 46(3). 121–135. 38 indexed citations
7.
Angevin, Eric, A Chassevent, J Bougaran, et al.. (1999). Human renal cell carcinoma xenografts in SCID mice: tumorigenicity correlates with a poor clinical prognosis.. PubMed. 79(7). 879–88. 24 indexed citations
8.
Rudolph, P., F. Bonichon, F. Collin, et al.. (1998). Comparative analysis of prognostic indicators for sarcomas of the soft parts and the viscerae.. PubMed. 82. 246–52. 10 indexed citations
9.
10.
Chassevent, A & Jean Bénard. (1997). [Oncogen N-myc expression and measurement of DNA ploidy in neuroblastoma: a double staining flow cytometric analysis].. PubMed. 84(3). 29–34. 1 indexed citations
11.
Baudet, Christel, Guillemette Chevalier, A Chassevent, et al.. (1996). 1,25-Dihydroxyvitamin D3 induces programmed cell death in a rat glioma cell line. Journal of Neuroscience Research. 46(5). 540–550. 44 indexed citations
12.
Spyratos, F., et al.. (1996). Quality control study by the French Cytometry Association on flow cytometric DNA content and S-phase fraction (S%). Cytometry. 26(1). 32–39. 24 indexed citations
13.
Chassevent, A, et al.. (1994). [Contribution of flow cytometry in the prognostic evaluation of non-small-cell lung cancers. Review of the literature].. PubMed. 81(7). 605–9. 1 indexed citations
14.
Larra, F & A Chassevent. (1990). [Evaluation of cell DNA content by flow cytometry: prognostic value in cancer].. PubMed. 40(29). 2724–7. 1 indexed citations
15.
Daver, A, Michael R. Page, A Chassevent, et al.. (1989). Flow cytometric analysis of DNA abnormalities in colorectal carcinomas.. PubMed. 76(3). 291–300. 4 indexed citations
16.
Chassevent, A, et al.. (1988). Flow cytometric DNA analysis in the diagnosis of lung tumors. A comparison with conventional methods.. PubMed. 10(4). 251–5. 3 indexed citations
17.
Daver, A, Martine Pagé, A Chassevent, et al.. (1987). Flow cytometric studies of colorectal tumors using fine needle aspiration.. PubMed. 7(3 Pt B). 531–4. 4 indexed citations
18.
Chassevent, A, G. Bertrand, Michel Chrétien, et al.. (1986). Flow DNA analysis in human lung cancer: potentiality and limitations due to sampling methods. Biology of the Cell. 58(2). 121–126. 8 indexed citations
19.
Chassevent, A, et al.. (1984). Comparative flow DNA analysis of different cell suspensions in breast carcinoma. Cytometry. 5(3). 263–267. 30 indexed citations
20.
Chassevent, A, A Daver, G. Bertrand, F Larra, & Peter George. (1984). [Analysis of DNA by flow cytometry in breast cancer].. PubMed. 71(5). 494–5. 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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