Philippe Jacquet

931 citations
15 papers · 645 indexed · h-index 9
Topics
RNA modifications and cancer (2 papers)Obesity, Physical Activity, Diet (2 papers)RNA and protein synthesis mechanisms (2 papers)
Partner nations
SwitzerlandFranceBelgium

In The Last Decade

Philippe Jacquet

15 papers receiving 632 citations

Peers

Philippe Jacquet
Comparison fields: 5 of 84
  • Molecular Biology 414
  • Genetics 151
  • Plant Science 80
  • Endocrinology, Diabetes and Metabolism 71
  • Surgery 66
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M Lambert Canada
Diana Reinhardt United Kingdom
Raffaele Ottaviano United Kingdom
Izuho Hatada Japan
Meng‐Yin Tsai Taiwan
Dorit Aharoni Israel
Shiying Jin United States
Xuan Jin China
Hirotaka Wagatsuma Japan
Jerid W. Robinson United States
Philippe Jacquet relative to M Lambert Canada M Lambert's profile →
Citations per field
00.5×6.2×
M Lambert · 1×
Citations per year

Countries citing papers authored by Philippe Jacquet

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Jacquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Jacquet

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Jacquet. A scholar is included among the top collaborators of Philippe Jacquet 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 Philippe Jacquet. Philippe Jacquet 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
#WorkIndexed citations
1 5
2 1
3 34
4 25
5 43
6 13
7 130
8 33
9 88
10 2
11 26
12 231
13
[Acquired zinc deficiency in a breast-fed premature infant].
6
14 6
15
[Collagenous colitis, achlorhydric gastritis and IgG deficiency].
2

About Philippe Jacquet

Philippe Jacquet is a scholar working on Virology, Clinical Biochemistry and General Economics, Econometrics and Finance, having authored 15 papers that have together received 645 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Obesity, Physical Activity, Diet (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (414 citations), Genetics (151 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Philippe Jacquet has collaborated with scholars based in Switzerland, France and Belgium. Frequent co-authors include David T. Bonthron, Márta Korbonits, A Enjalbert, Anne Barlier, Bruce E. Hayward, Ashley Grossman, Maria Jessica Bruzzone, Slawomir Kubik, David Shore and Jacques Rougemont. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Genes & Development.

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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