G G Chabot

33 total papers · 1.7k total citations
24 papers, 1.4k citations indexed

About

G G Chabot is a scholar working on Oncology, Molecular Biology and Neurology. According to data from OpenAlex, G G Chabot has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 17 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in G G Chabot's work include Cancer therapeutics and mechanisms (10 papers), Lung Cancer Research Studies (9 papers) and Cancer Treatment and Pharmacology (6 papers). G G Chabot is often cited by papers focused on Cancer therapeutics and mechanisms (10 papers), Lung Cancer Research Studies (9 papers) and Cancer Treatment and Pharmacology (6 papers). G G Chabot collaborates with scholars based in France, United States and Germany. G G Chabot's co-authors include D Abigerges, Patrice Herait, Alain Gouyette, Daniel Gandía, Jean‐Pierre Armand, M Forni, R. Bugat, Claudia Côté, P. Armand and M. Mahjoubi and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

G G Chabot

23 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
G G Chabot 1.0k 913 168 115 114 24 1.4k
Barbara G. Lubejko 945 0.9× 616 0.7× 194 1.2× 76 0.7× 140 1.2× 25 1.3k
Masashi Aonuma 875 0.9× 1.2k 1.3× 118 0.7× 121 1.1× 83 0.7× 14 1.5k
Yasuhide Hirota 766 0.8× 1.1k 1.2× 112 0.7× 117 1.0× 69 0.6× 21 1.5k
Gisele Sarosy 809 0.8× 654 0.7× 226 1.3× 65 0.6× 186 1.6× 38 1.7k
M. Bayssas 1.3k 1.2× 502 0.5× 188 1.1× 59 0.5× 121 1.1× 34 1.8k
Hiroshi Kuga 671 0.7× 841 0.9× 111 0.7× 174 1.5× 62 0.5× 28 1.3k
J. Schellens 1.2k 1.2× 594 0.7× 234 1.4× 81 0.7× 166 1.5× 37 1.8k
Donald J. Dykes 745 0.7× 680 0.7× 238 1.4× 62 0.5× 131 1.1× 27 1.7k
Chun-ling Dai 992 1.0× 694 0.8× 186 1.1× 113 1.0× 137 1.2× 19 1.4k
M. Mahjoubi 767 0.8× 508 0.6× 312 1.9× 49 0.4× 241 2.1× 24 1.1k

Countries citing papers authored by G G Chabot

Since Specialization
Citations

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

Fields of papers citing papers by G G Chabot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G G Chabot

This figure shows the co-authorship network connecting the top 25 collaborators of G G Chabot. A scholar is included among the top collaborators of G G Chabot 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 G G Chabot. G G Chabot 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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