Pierre‐Luc Germain

664 citations
9 papers · 429 indexed · 1 hit paper · h-index 5
Topics
Nutrition, Genetics, and Disease (1 paper)Stress Responses and Cortisol (1 paper)Photoreceptor and optogenetics research (1 paper)

In The Last Decade

Pierre‐Luc Germain

9 papers receiving 423 citations

Hit Papers

Exploratory rearing: a context- and stress-sensitive beha...20182026202020232018100200300

Peers

Pierre‐Luc Germain
Comparison fields: 5 of 93
  • Behavioral Neuroscience 109
  • Molecular Biology 99
  • Cellular and Molecular Neuroscience 99
  • Cognitive Neuroscience 88
  • Physiology 70
Replace Gabriel Roldán-Roldán with:
Gabriel Roldán-Roldán Mexico
Leonardo Santana Novaes Brazil
Elizabeth J. Crofton United States
Inmaculada Pereda-Pérez Spain
Po-Kuan Chao Taiwan
Isabelle Guillot de Suduiraut Switzerland
Douglas Senna Engelke Brazil
Anne Stephanie Mallien Germany
Isabel Cristina Céspedes Brazil
Elaine K. Hebda‐Bauer United States
Pierre‐Luc Germain relative to Gabriel Roldán-Roldán Mexico Gabriel Roldán-Roldán's profile →
Citations per field
00.5×1.5×1.9×
Gabriel Roldán-Roldán · 1×
Citations per year

Countries citing papers authored by Pierre‐Luc Germain

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐Luc Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre‐Luc Germain

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 15
3 2
4 19
5 50
6 2
7 6
8
Exploratory rearing: a context- and stress-sensitive behavior recorded in the open-field testbreakdown →
330
9 4

About Pierre‐Luc Germain

Pierre‐Luc Germain is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and History and Philosophy of Science, having authored 9 papers that have together received 429 indexed citations. Recurring topics across this work include Nutrition, Genetics, and Disease (1 paper), Stress Responses and Cortisol (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Behavioral Neuroscience (109 citations), Biological Psychiatry (62 citations) and Cellular and Molecular Neuroscience (99 citations). Pierre‐Luc Germain has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Johannes Bohacek, Oliver Sturman, Amalia Floriou‐Servou, Sian N. Duss, Christian von Mering, Lukas von Ziegler, Mark D. Robinson, Peter Paul De Deyn, Matthias T. Wyss and Ruizhu Huang. Their work appears in journals such as Nature Protocols, Genome biology and Cell Reports.

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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