Teddy Jégu

2.4k citations
20 papers · 1.6k · h-index 17

Impact in

    • Plant and Fungal Interactions Research
    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Chromatin Dynamics 8
    • Plant Reproductive Biology 4
    • Chromatin Remodeling and Cancer 3
    • RNA Research and Splicing 3
    • Plant Molecular Biology Research 10
    • Chromosomal and Genetic Variations 3

Teddy Jégu

19 papers receiving 1.5k citations

Peers

Teddy Jégu
Comparison fields: 5 of 74
  • Endocrinology 223
  • Plant Science 988
  • Cancer Research 289
  • Molecular Biology 1.0k
  • Genetics 169
Replace Julia A. Chekanova with:
Julia A. Chekanova United States
Szymon Świeżewski Poland
Linda A. Rymarquis United States
Zhihong Xue United States
Jurgi Camblong Switzerland
Wu Wei Germany
Rex A Cole United States
Dmitry A. Belostotsky United States
Sebastian Marquardt Denmark
Natali Romero-Barrios France
Teddy Jégu relative to Julia A. Chekanova United States Julia A. Chekanova's profile →
Citations per field
00.5×1.5×2.2×
Julia A. Chekanova · 1×
Citations per year

Countries citing papers authored by Teddy Jégu

Since Specialization
Citations

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

Fields of papers citing papers by Teddy Jégu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014316
2 2020201
3 2015180
4 2018124
5 2016109
6 2017102
7 201485
8 201778
9 201949
10 201748
11 201745
12 201843
13 201342
14 201336
15 201529
16 201429
17 202017
18 201712
19 20249
20 20250

About Teddy Jégu

Teddy Jégu is a scholar working on Molecular Biology, Plant Science, Genetics, Epidemiology and Cancer Research, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Genomics and Chromatin Dynamics (8 papers), Plant Reproductive Biology (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Chromosomal and Genetic Variations (3 papers), Chromatin Remodeling and Cancer (3 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Endocrinology (223 citations), Plant Science (988 citations), Cancer Research (289 citations), Molecular Biology (1.0k citations) and Genetics (169 citations). Teddy Jégu has collaborated with scholars based in France, Saudi Arabia and United States. Frequent co-authors include Moussa Benhamed, Martín Crespi, Federico Ariel, David Latrasse, Natali Romero-Barrios, Jeannie T. Lee, Aurélie Christ, Alaguraj Veluchamy, Cécile Raynaud and Eric Aeby. Their work appears in journals such as Molecular Cell, Genome biology, PLoS ONE, The Plant Cell and Gene Therapy.

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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