Jean M. Hébert

6.9k citations
83 papers · 5.5k indexed · 2 hit papers · h-index 34
Topics
Neurogenesis and neuroplasticity mechanisms (26 papers)Fibroblast Growth Factor Research (17 papers)Epigenetics and DNA Methylation (17 papers)

In The Last Decade

Jean M. Hébert

79 papers receiving 5.4k citations

Hit Papers

Transcription factor AP-2 is expressed in neural crest ce...199120262002201419911994100200300400500

Peers

Jean M. Hébert
Comparison fields: 5 of 132
  • Molecular Biology 3.8k
  • Developmental Neuroscience 1.2k
  • Genetics 1.1k
  • Cellular and Molecular Neuroscience 1.0k
  • Cell Biology 598
Replace Lyle B. Zimmerman with:
Lyle B. Zimmerman United Kingdom
Larysa Pevny United States
Lukas Sommer Switzerland
E. Bryan Crenshaw United States
Alexander Grinberg United States
Noriko Osumi Japan
Hong Gu China
Theresa A. Zwingman United States
Ivor Mason United Kingdom
Juha Partanen Finland
Jean M. Hébert relative to Lyle B. Zimmerman United Kingdom Lyle B. Zimmerman's profile →
Citations per field
00.5×3.1×
Lyle B. Zimmerman · 1×
Citations per year

Countries citing papers authored by Jean M. Hébert

Since Specialization
Citations

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

Fields of papers citing papers by Jean M. Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean M. Hébert. 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 Jean M. Hébert. The network helps show where Jean M. Hébert may publish in the future.

Co-authorship network of co-authors of Jean M. Hébert

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 0
3 5
4 11
5 15
6 12
7 15
8 22
9 4
10
Effects of SGLT2 inhibitors on weight loss in patients with type 2 diabetes mellitus.
35
11 19
12 8
13 74
14 12
15 14
16 37
17 101
18 232
19 441
20 4

About Jean M. Hébert

Jean M. Hébert is a scholar working on Developmental Neuroscience, Neurology and Sensory Systems, having authored 83 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (26 papers), Fibroblast Growth Factor Research (17 papers) and Epigenetics and DNA Methylation (17 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Sensory Systems (376 citations) and Molecular Biology (3.8k citations). Jean M. Hébert has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Susan K. McConnell, Gail R. Martin, Gord Fishell, Jürgen Götz, Thomas A. Rosenquist, Wenfei Kang, Peter Rigby, Robert Tjian, Pamela J. Mitchell and Juha Partanen. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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