Pierre‐Étienne Jacques

8.7k citations
67 papers · 5.7k indexed · 1 hit paper · h-index 28

Pierre‐Étienne Jacques

64 papers receiving 5.7k citations

Hit Papers

MetaboAnalyst 5.0: narrowing the gap between raw spectra ...2.8k202120262022202450010001.5k2.0k2.5k

Peers

Pierre‐Étienne Jacques
Comparison fields: 5 of 160
  • Molecular Biology 4.0k
  • Biological Psychiatry 80
  • Plant Science 1.1k
  • Cancer Research 443
  • Aging 33
Replace Daqing Zhao with:
Daqing Zhao China
Bo Yeon Kim South Korea
Richard Billington United States
Sascha Sauer Germany
Ping Wang China
Weiwei Wang China
Le Chang China
Lin Chen China
Zhongzhou Chen China
Chul‐Ho Lee South Korea
Pierre‐Étienne Jacques relative to Daqing Zhao China Daqing Zhao's profile →
Citations per field
00.5×1.5×1.9×
Daqing Zhao · 1×
Citations per year

Countries citing papers authored by Pierre‐Étienne Jacques

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐Étienne Jacques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pierre‐Étienne Jacques, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pierre‐Étienne Jacques Line = papers co-authored together Pierre‐Étienne Jacques links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20243
5 20231
6 202310
7 20235
8 20226
9 20222
10 20227
11 20216
12 201972
13 201860
14 201728
15 201562
16 201539
17 201421
18 2012171
19 2012112
20 2009109

About Pierre‐Étienne Jacques

Pierre‐Étienne Jacques is a scholar working on Obstetrics and Gynecology, Cancer Research and Molecular Medicine, having authored 67 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (19 papers), Pregnancy and preeclampsia studies (11 papers), RNA modifications and cancer (10 papers), RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (9 papers), CRISPR and Genetic Engineering (8 papers), Birth, Development, and Health (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Biological Psychiatry (80 citations) and Plant Science (1.1k citations). Pierre‐Étienne Jacques has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include David Anderson de Lima Morais, Zhiqiang Pang, Guangyan Zhou, Jianguo Xia, Jasmine Chong, M. Barrette, Le Chang, Shuzhao Li, François Robert and Guillaume Bourque. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

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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