Jacques Troncy

67 total papers · 2.4k total citations
34 papers, 1.0k citations indexed

About

Jacques Troncy is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Jacques Troncy has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 13 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Jacques Troncy's work include Acute Myeloid Leukemia Research (14 papers), Multiple Myeloma Research and Treatments (6 papers) and Neutropenia and Cancer Infections (5 papers). Jacques Troncy is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Multiple Myeloma Research and Treatments (6 papers) and Neutropenia and Cancer Infections (5 papers). Jacques Troncy collaborates with scholars based in France, United States and Italy. Jacques Troncy's co-authors include D Fière, E Archimbaud, Denis Guyotat, D. Treille, P Calmard-Oriol, Lydia Campos, T Tsuruo, Michel Attal, Jean‐Luc Harousseau and Jean‐Gabriel Fuzibet and has published in prestigious journals such as Journal of Clinical Oncology, Blood and American Journal of Obstetrics and Gynecology.

In The Last Decade

Jacques Troncy

34 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Jacques Troncy 669 529 505 171 171 34 1.0k
Muhammad Shurafa 420 0.6× 319 0.6× 271 0.5× 262 1.5× 91 0.5× 29 911
Zalmen A. Arlin 578 0.9× 336 0.6× 302 0.6× 229 1.3× 346 2.0× 53 1.1k
C. Michel Zwaan 555 0.8× 449 0.8× 450 0.9× 114 0.7× 504 2.9× 34 1.2k
J. A. Liu Yin 941 1.4× 292 0.6× 374 0.7× 223 1.3× 328 1.9× 42 1.2k
PJ Burke 376 0.6× 363 0.7× 410 0.8× 88 0.5× 208 1.2× 26 804
Antonella Geromin 637 1.0× 545 1.0× 314 0.6× 179 1.0× 155 0.9× 55 1.2k
C. Michel Zwaan 683 1.0× 166 0.3× 346 0.7× 183 1.1× 320 1.9× 34 983
Randy A. Brown 530 0.8× 381 0.7× 323 0.6× 126 0.7× 105 0.6× 38 1.0k
B G M Durie 357 0.5× 746 1.4× 584 1.2× 74 0.4× 85 0.5× 18 1.1k
William R. Friedenberg 364 0.5× 351 0.7× 228 0.5× 164 1.0× 117 0.7× 34 1.1k

Countries citing papers authored by Jacques Troncy

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Troncy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Troncy

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