This map shows the geographic impact of A Daver'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 Daver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Daver more than expected).
This network shows the impact of papers produced by A Daver. 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 Daver. The network helps show where A Daver may publish in the future.
Co-authorship network of co-authors of A Daver
This figure shows the co-authorship network connecting the top 25 collaborators of A Daver.
A scholar is included among the top collaborators of A Daver 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 Daver. A Daver is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eche, N., M. Pichon, Véronique Quillien, et al.. (2001). [Standards, options and recommendations for tumor markers in colorectal cancer].. PubMed. 88(12). 1177–206.14 indexed citations
Basuyau, J P, M P Blanc-Vincent, Jean‐Michel Bidart, et al.. (2000). [Standards, Options and Recommendations (SOR) for tumor markers in breast cancer. SOR Working Group].. PubMed. 87(10). 723–37.16 indexed citations
Sauvaigo, Sylvie, A Daver, Martin Pagé, et al.. (2000). Specific H-Ras minisatellite alleles in breast cancer susceptibility.. PubMed. 19(6B). 5191–6.9 indexed citations
Sabatier, Robert, A Daver, M. Assicot, et al.. (1999). A new approach for clinical biological assay comparison and standardization: application of principal component analysis to a multicenter study of twenty-one carcinoembryonic antigen immunoassay kits.. PubMed. 45(6 Pt 1). 869–81.14 indexed citations
Muratet, Jean-Pierre, et al.. (1997). Predicting the efficacy of first iodine-131 treatment in differentiated thyroid carcinoma.. PubMed. 38(9). 1362–8.47 indexed citations
Rousseau, Raphaël F., et al.. (1991). Méthodologie de la régression et de la prédiction fondée sur la classification automatique. French digital mathematics library (Numdam). 16(4). 479–488.2 indexed citations
17.
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
18.
Page, Melissa M., et al.. (1987). Immunostaining of colorectal cancer with monoclonal anti-CEA antibodies compared to serum and tumor CEA content.. PubMed. 6(5). 893–6.16 indexed citations
19.
Page, Michael J., et al.. (1985). Monoclonal anticarcinoembryonic antigen in immunohistochemical studies of colorectal cancer a comparison with tumor and serum carcinoembryonic antigen content. Anticancer Research. 5(6). 601.1 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.