Karin Pierre

2.3k citations
22 papers · 1.9k indexed · 1 hit paper · h-index 18

Karin Pierre

22 papers receiving 1.9k citations

Hit Papers

Monocarboxylate transporters in the central nervous syste...5462005202620122019100200300400500

Peers

Karin Pierre
Comparison fields: 5 of 89
  • Developmental Neuroscience 255
  • Cellular and Molecular Neuroscience 861
  • Neurology 337
  • Endocrine and Autonomic Systems 249
  • Physiology 640
Replace Zu‐Cheng Ye with:
Zu‐Cheng Ye United States
Julia Serrano Spain
Verónica Abudara Uruguay
Nicholas Rensing United States
Michelle F. Anderson Sweden
Delia M. Talos United States
Elena Pravettoni Italy
Sylvain Lengacher Switzerland
Misty J. Eaton Puerto Rico
Marianna Storto Italy
Karin Pierre relative to Zu‐Cheng Ye United States Zu‐Cheng Ye's profile →
Citations per field
00.5×1.5×
Zu‐Cheng Ye · 1×
Citations per year

Countries citing papers authored by Karin Pierre

Since Specialization
Citations

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

Fields of papers citing papers by Karin Pierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201512
2 201122
3 200932
4 200996
5 2007104
6 200750
7 200770
8
Monocarboxylate transporters in the central nervous system: distribution, regulation and functionbreakdown →
2005546
9 2004211
10 2003110
11 200347
12 20033
13 2002161
14 200127
15 200126
16 2000199
17 200012
18 199856
19 199844
20 199530

About Karin Pierre

Karin Pierre is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Neurology and Physiology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Neuroendocrine regulation and behavior (5 papers), Diet and metabolism studies (4 papers), Neuropeptides and Animal Physiology (4 papers), Adipose Tissue and Metabolism (3 papers), Regulation of Appetite and Obesity (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (255 citations), Cellular and Molecular Neuroscience (861 citations), Neurology (337 citations), Endocrine and Autonomic Systems (249 citations) and Physiology (640 citations). Karin Pierre has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include Luc Pellerin, Pierre J. Magistretti, Andrew P. Halestrap, Daniel Poulain, Brigitte Riederer, D.T. Theodosis, Dionysia T. Theodosis, Sylvain Lengacher, Michèle Allard and Cendrine Repond. Their work appears in journals such as European Journal of Neuroscience, Journal of Neurochemistry, Neuroscience, Journal of Neuroscience and Journal of Cerebral Blood Flow & Metabolism.

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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