Philippe Lamesch

7.1k citations
11 papers · 2.3k indexed · 1 hit paper · h-index 8
  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms 4
    • GABA and Rice Research 2
    • Genomics and Phylogenetic Studies 6
    • RNA and protein synthesis mechanisms 4
    • CRISPR and Genetic Engineering 2
    • RNA modifications and cancer 1
    • Machine Learning in Bioinformatics 1
    • Plant Gene Expression Analysis 1
  • Horticulture top 10%

Philippe Lamesch

11 papers receiving 2.3k citations

Hit Papers

The Arabidopsis Information Resource (TAIR): improved gen...1.7k201120262016202150010001.5k

Peers

Philippe Lamesch
Comparison fields: 5 of 99
  • Aging 210
  • Plant Science 1.2k
  • Molecular Biology 1.8k
  • Horticulture 14
  • Endocrinology 49
Replace Yan Zou with:
Yan Zou China
Roger B. Deal United States
Waraporn Tongprasit United States
Yves Henry France
Sachin Kotak India
Giovanna Serino Italy
Dionne Vafeados United States
Charles M. Nicolet United States
Christopher Wilks United States
Philippe Lamesch relative to Yan Zou China Yan Zou's profile →
Citations per field
00.5×1.7×
Yan Zou · 1×
Citations per year

Countries citing papers authored by Philippe Lamesch

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lamesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Philippe Lamesch, 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 Philippe Lamesch Line = papers co-authored together Philippe Lamesch links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20137
2
The Arabidopsis Information Resource (TAIR): improved gene annotation and new toolsbreakdown →
20111676
3 201027
4 2007202
5 200623
6 20062
7 200536
8 2004137
9 200487
10 20021
11 2001134

About Philippe Lamesch

Philippe Lamesch is a scholar working on Aging, Plant Science, Molecular Biology, Spectroscopy and Genetics, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (2 papers), GABA and Rice Research (2 papers), RNA modifications and cancer (1 paper), Machine Learning in Bioinformatics (1 paper) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Aging (210 citations), Plant Science (1.2k citations), Molecular Biology (1.8k citations), Horticulture (14 citations) and Endocrinology (49 citations). Philippe Lamesch has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Eva Huala, Kate Dreher, David Swarbreck, Rajkumar Sasidharan, Donghui Li, M. Garcia-Hernandez, Tanya Berardini, Christopher Wilks, Shanker K. Singh and Robert Müller. Their work appears in journals such as Genome Research, Human Molecular Genetics, Nature Genetics, Nucleic Acids Research and Genomics.

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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