Pascal Clerc

2.2k citations
90 papers · 1.7k indexed · h-index 24

Pascal Clerc

81 papers receiving 1.6k citations

Peers

Pascal Clerc
Comparison fields: 5 of 135
  • Molecular Biology 593
  • Epidemiology 427
  • Oncology 409
  • Surgery 388
  • Cellular and Molecular Neuroscience 387
Replace Ana M. Bajo with:
Ana M. Bajo Spain
Michael Becker Germany
Joseph R. Osborne United States
H. Warren Goldman United States
Margaret McLaughlin United States
Wei Shi China
Sachiko Yamaguchi Japan
Jean‐Paul Castaigne United States
Ralph Devere White United States
Jun Maeda Japan
Pascal Clerc relative to Ana M. Bajo Spain Ana M. Bajo's profile →
Citations per field
00.5×3.6×
Ana M. Bajo · 1×
Citations per year

Countries citing papers authored by Pascal Clerc

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Clerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Clerc

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Clerc. A scholar is included among the top collaborators of Pascal Clerc 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 Pascal Clerc. Pascal Clerc 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 4
2 1
3 1
4 0
5 9
6 5
7 91
8 0
9 5
10 10
11 4
12
Le bon sens tout près de chez soi : les projets de programme de géographie pour l’enseignement primaire
1
13
Construire une conscience géographique
0
14 18
15 65
16 20
17 64
18 11
19 15
20
[Approach to the intrapetrosal organs by the endocranial route; graft of the facial nerve].
2

About Pascal Clerc

Pascal Clerc is a scholar working on Geography, Planning and Development, Geriatrics and Gerontology and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Neuroendocrine Tumor Research Advances (11 papers) and French Urban and Social Studies (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (387 citations), Oncology (409 citations) and Endocrinology, Diabetes and Metabolism (249 citations). Pascal Clerc has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Daniel Fourmy, Marlène Dufresne, Véronique Gigoux, Nicole Vaysse, Chantal Escrieut, J. Carrey, J.P. Estève, Hervé Prats, Louis Buscail and Patrick Robberecht. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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