J. Madelaine

66 total papers · 975 total citations
33 papers, 405 citations indexed

About

J. Madelaine is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, J. Madelaine has authored 33 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 18 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in J. Madelaine's work include Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Research Studies (8 papers) and Neuroendocrine Tumor Research Advances (6 papers). J. Madelaine is often cited by papers focused on Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Research Studies (8 papers) and Neuroendocrine Tumor Research Advances (6 papers). J. Madelaine collaborates with scholars based in France, United States and Spain. J. Madelaine's co-authors include Nicolas Aide, Pascal Dô, Charline Lasnon, Gérard Zalcman, Mathieu Hatt, Mohamed Majdoub, Marion Sassier, Dimitris Visvikis, Jennifer Cautela and Fabrice Barlési and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Respiratory Journal.

In The Last Decade

J. Madelaine

29 papers receiving 402 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. Madelaine	221	208	105	67	41	33	405
Qiang Su	255 1.2×	176 0.8×	63 0.6×	64 1.0×	73 1.8×	34	447
Qiugen Hu	202 0.9×	133 0.6×	180 1.7×	26 0.4×	37 0.9×	35	463
Michèle Orain	243 1.1×	138 0.7×	67 0.6×	40 0.6×	55 1.3×	38	392
Tommy Sheu	133 0.6×	192 0.9×	75 0.7×	23 0.3×	47 1.1×	23	415
Jue Li	139 0.6×	163 0.8×	45 0.4×	49 0.7×	89 2.2×	26	405
Jun Dang	214 1.0×	338 1.6×	139 1.3×	71 1.1×	41 1.0×	43	486
Birgitta I. Hiddinga	174 0.8×	232 1.1×	29 0.3×	60 0.9×	80 2.0×	37	467
Josef Kovařík	167 0.8×	137 0.7×	36 0.3×	78 1.2×	61 1.5×	42	446
Liusheng Wu	138 0.6×	187 0.9×	42 0.4×	49 0.7×	90 2.2×	24	385
Raffaele Solla	160 0.7×	119 0.6×	138 1.3×	57 0.9×	47 1.1×	24	479

Countries citing papers authored by J. Madelaine

Since Specialization

Citations

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

Fields of papers citing papers by J. Madelaine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Madelaine

This figure shows the co-authorship network connecting the top 25 collaborators of J. Madelaine. A scholar is included among the top collaborators of J. Madelaine 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 J. Madelaine. J. Madelaine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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