Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A new prognostic classification of chronic lymphocytic leukemia derived from a multivariate survival analysis
19811.3k citationsJ L Binet, Ariane Auquier et al.Cancerprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of F Oberling'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 F Oberling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Oberling more than expected).
This network shows the impact of papers produced by F Oberling. 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 F Oberling. The network helps show where F Oberling may publish in the future.
Co-authorship network of co-authors of F Oberling
This figure shows the co-authorship network connecting the top 25 collaborators of F Oberling.
A scholar is included among the top collaborators of F Oberling 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 F Oberling. F Oberling is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kurtz, Jean‐Emmanuel, Emmanuel Andrès, F. Maloisel, et al.. (1995). Intra-abdominal localization of acute leukaemia: report of six cases.. PubMed. 37(5). 273–6.2 indexed citations
4.
Guastalla, Jean‐Paul, C. Lhommé, J Dauplat, et al.. (1994). Taxol (paclitaxel) safety in patients with platinum pretreated ovarian carcinoma: an interim analysis of a phase II multicenter study.. PubMed. 5 Suppl 6. S33–8.11 indexed citations
5.
Klein, Théo, Gerhard Jung, P. Dufour, et al.. (1993). Cancer du sein après maladie de Hodgkin. Analyse de 6 observations.. La Presse Médicale. 22(38). 1928–1929.
Maraninchi, D, Patrice Viens, Michel Legros, et al.. (1990). Hautes doses d'alkylants et autogreffe de moelle dans les cancers de l'ovaire à mauvais pronostic : une analyse rétrospective de 40 patientes traitées en France. Bulletin du Cancer. 77(2). 149–157.
Dufour, P, et al.. (1985). Choriocarcinome médiastinal au cours de l'évolution d'une leucose aiguë myeloblastique.. La Presse Médicale. 14(17). 979–979.1 indexed citations
Oberling, F, et al.. (1978). Maladie de Hodgkin. Déficit lymphocytaire thymo-dépendant chez des patients en rémission complète.. Pathologie Biologie. 26.2 indexed citations
16.
Oberling, F, et al.. (1977). Normal active rosette-forming-cells in untreated patients with Hodgkin's disease.. PubMed. 27(9-10). 322–4.4 indexed citations
Oberling, F, et al.. (1974). Lymphocyte reactivity to phytohaemagglutinin and allogeneic lymphocytes in 32 untreated patients with Hodgkin's disease.. PubMed. 21(9). 372–7.6 indexed citations
19.
Oberling, F, Yosefa Bar Dayan, & Rebecca Waitz. (1973). [Use of stains in routine histopathology of semi-fine slices of "araldite" embedded bone marrow].. PubMed. 13(3). 429–31.1 indexed citations
20.
Oberling, F, et al.. (1969). [Treatment by immunosuppressive agents of hemorrhagic and purulent rectocolitis. Possible role of lymphocytes].. PubMed. 77(56). 2141–2.7 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.