Benoit Destenaves

905 total citations
15 papers, 544 citations indexed

About

Benoit Destenaves is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Benoit Destenaves has authored 15 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Benoit Destenaves's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Genetic Syndromes and Imprinting (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Benoit Destenaves is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Genetic Syndromes and Imprinting (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Benoit Destenaves collaborates with scholars based in United Kingdom, United States and Switzerland. Benoit Destenaves's co-authors include Clemens Tempfer, B. C. J. M. Fauser, Manuela Simoni, Andrew Whatmore, Leendert H. J. Looijenga, James C. Nicholson, Martin A. Rijlaarsdam, Emma Bell, Matthew J. Murray and Nicholas Coleman and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and Human Reproduction Update.

In The Last Decade

Benoit Destenaves

15 papers receiving 531 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benoit Destenaves United Kingdom 11 197 175 115 96 92 15 544
Takuya Ayabe Japan 12 128 0.6× 173 1.0× 89 0.8× 65 0.7× 92 1.0× 35 511
K.‐D. Schulz Germany 9 222 1.1× 92 0.5× 127 1.1× 61 0.6× 86 0.9× 30 473
G. H. Faessen United States 9 247 1.3× 147 0.8× 95 0.8× 141 1.5× 290 3.2× 9 745
Hitoo Nakano Japan 12 482 2.4× 202 1.2× 88 0.8× 48 0.5× 33 0.4× 15 835
S R Plymate United States 12 148 0.8× 340 1.9× 93 0.8× 191 2.0× 266 2.9× 16 747
Manuel Vadillo-Buenfil Mexico 11 141 0.7× 140 0.8× 109 0.9× 49 0.5× 264 2.9× 13 578
A. Norgren Sweden 14 230 1.2× 96 0.5× 148 1.3× 126 1.3× 69 0.8× 42 680
Takashi Kitanaka Japan 13 356 1.8× 85 0.5× 73 0.6× 58 0.6× 14 0.2× 27 754
Yoshiyuki Kinoshita Japan 10 64 0.3× 108 0.6× 170 1.5× 32 0.3× 38 0.4× 14 449
Josefina Muñoz Spain 11 121 0.6× 175 1.0× 38 0.3× 118 1.2× 18 0.2× 11 453

Countries citing papers authored by Benoit Destenaves

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Destenaves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoit Destenaves

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

All Works

15 of 15 papers shown
1.
Williams, P. Mickey, Steven P. Lund, Kenneth D. Cole, et al.. (2021). Validation of ctDNA Quality Control Materials Through a Precompetitive Collaboration of the Foundation for the National Institutes of Health. JCO Precision Oncology. 5(5). 910–920. 14 indexed citations
2.
Gupta, Sunil K., et al.. (2021). Quantitative RNA assessment and long-term stability in the FFPE tumor samples using Digital Spatial Profiler. Immuno-Oncology Technology. 13. 100069–100069. 5 indexed citations
3.
Johnston, Stephen, Timothy Pluard, Judy S. Wang, et al.. (2021). Phase 1b study of H3B-6545 in combination with palbociclib in women with metastatic estrogen receptor–positive (ER+), human epidermal growth factor receptor 2 (HER2)-negative breast cancer.. Journal of Clinical Oncology. 39(15_suppl). e13025–e13025. 9 indexed citations
4.
Macarulla, Teresa, Víctor Moreno, Li‐Tzong Chen, et al.. (2021). Phase I study of H3B-6527 in hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICC).. Journal of Clinical Oncology. 39(15_suppl). 4090–4090. 8 indexed citations
5.
Hamilton, Erika, Judy S. Wang, Timothy Pluard, et al.. (2021). Phase I/II study of H3B-6545, a novel selective estrogen receptor covalent antagonist (SERCA), in estrogen receptor positive (ER+), human epidermal growth factor receptor 2 negative (HER2-) advanced breast cancer.. Journal of Clinical Oncology. 39(15_suppl). 1018–1018. 31 indexed citations
6.
Valsesia, Armand, Pierre Chatelain, Adam Stevens, et al.. (2015). GH deficiency status combined with GH receptor polymorphism affects response to GH in children. European Journal of Endocrinology. 173(6). 777–789. 12 indexed citations
7.
Murray, Matthew J., Emma Bell, Katie L. Raby, et al.. (2015). A pipeline to quantify serum and cerebrospinal fluid microRNAs for diagnosis and detection of relapse in paediatric malignant germ-cell tumours. British Journal of Cancer. 114(2). 151–162. 115 indexed citations
8.
Clayton, Peter, Pierre Chatelain, Luciano Tatò, et al.. (2013). A pharmacogenomic approach to the treatment of children with GH deficiency or Turner syndrome. European Journal of Endocrinology. 169(3). 277–289. 25 indexed citations
9.
Stevens, Adam, Peter Clayton, Luciano Tatò, et al.. (2013). Pharmacogenomics of insulin-like growth factor-I generation during GH treatment in children with GH deficiency or Turner syndrome. The Pharmacogenomics Journal. 14(1). 54–62. 27 indexed citations
10.
Stevens, Adam, Daniel Hanson, Andrew Whatmore, et al.. (2013). Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks. BMC Genomics. 14(1). 547–547. 43 indexed citations
11.
Stevens, Adam, Andrew Whatmore, Benoit Destenaves, Pierre Chatelain, & Peter Clayton. (2012). P02-26 A network analysis of gene expression through childhood highlights changes related to both age and growth. Growth Hormone & IGF Research. 22. S62–S63. 1 indexed citations
12.
Tempfer, Cle mens, Manuela Simoni, Benoit Destenaves, & B. C. J. M. Fauser. (2008). Functional genetic polymorphisms and female reproductive disorders: Part II--endometriosis. Human Reproduction Update. 15(1). 97–118. 88 indexed citations
13.
Simoni, Manuela, Cle mens Tempfer, Benoit Destenaves, & B. C. J. M. Fauser. (2008). Functional genetic polymorphisms and female reproductive disorders: Part I: polycystic ovary syndrome and ovarian response. Human Reproduction Update. 14(5). 459–484. 108 indexed citations
14.
Pilecka, Iwona, Andrew Whatmore, Rob Hooft van Huijsduijnen, Benoit Destenaves, & Peter T. Clayton. (2006). Growth hormone signalling: sprouting links between pathways, human genetics and therapeutic options. Trends in Endocrinology and Metabolism. 18(1). 12–18. 40 indexed citations
15.
Destenaves, Benoit & François Thomas. (2000). New advances in pharmacogenomics. Current Opinion in Chemical Biology. 4(4). 440–444. 18 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.

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