Benjamin Bessières

462 total citations
9 papers, 310 citations indexed

About

Benjamin Bessières is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Benjamin Bessières has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 3 papers in Social Psychology. Recurrent topics in Benjamin Bessières's work include Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroendocrine regulation and behavior (3 papers). Benjamin Bessières is often cited by papers focused on Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroendocrine regulation and behavior (3 papers). Benjamin Bessières collaborates with scholars based in United States, France and Saudi Arabia. Benjamin Bessières's co-authors include Cristina M. Alberini, Emmanuel Cruz, Virginia Gao, Giannina Descalzi, Alessio Travaglia, Todd M. Mowery, Xinying Zhang, Olivier Nicole, Bruno Bontempi and Pierre J. Magistretti and has published in prestigious journals such as Nature Communications, Neuron and Nature Protocols.

In The Last Decade

Benjamin Bessières

9 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Bessières United States 7 144 97 94 73 73 9 310
Gisela Zalcman Argentina 8 141 1.0× 71 0.7× 102 1.1× 72 1.0× 38 0.5× 11 286
Sydney Aten United States 10 119 0.8× 63 0.6× 169 1.8× 70 1.0× 72 1.0× 20 421
Benjamin Boury‐Jamot Switzerland 6 142 1.0× 75 0.8× 107 1.1× 56 0.8× 82 1.1× 8 289
Kyungchul Noh South Korea 7 96 0.7× 67 0.7× 94 1.0× 35 0.5× 85 1.2× 13 282
A. V. Shevëlkin Russia 11 174 1.2× 63 0.6× 129 1.4× 59 0.8× 51 0.7× 30 349
Xiaokuang Ma United States 12 176 1.2× 61 0.6× 152 1.6× 86 1.2× 61 0.8× 27 393
Wenqiang Chen United States 8 90 0.6× 63 0.6× 180 1.9× 60 0.8× 64 0.9× 20 347
Annalisa Manca Italy 12 187 1.3× 57 0.6× 115 1.2× 40 0.5× 71 1.0× 14 334
Sophie Longueville France 10 251 1.7× 85 0.9× 191 2.0× 104 1.4× 66 0.9× 14 440
Lik‐Wei Wong Singapore 11 132 0.9× 115 1.2× 131 1.4× 55 0.8× 115 1.6× 20 382

Countries citing papers authored by Benjamin Bessières

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Bessières

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Bessières

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Bessières. A scholar is included among the top collaborators of Benjamin Bessières 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 Benjamin Bessières. Benjamin Bessières 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
1.
Bessières, Benjamin, et al.. (2024). Synaptic rearrangement of NMDA receptors controls memory engram formation and malleability in the cortex. Science Advances. 10(35). eado1148–eado1148. 6 indexed citations
2.
Pandey, Kiran, Benjamin Bessières, Julián Taranda, et al.. (2023). Neuronal activity drives IGF2 expression from pericytes to form long-term memory. Neuron. 111(23). 3819–3836.e8. 16 indexed citations
3.
Cruz, Emmanuel, et al.. (2022). Hippocampal parvalbumin interneurons play a critical role in memory development. Cell Reports. 41(7). 111643–111643. 14 indexed citations
4.
Cruz, Emmanuel, Benjamin Bessières, Pierre J. Magistretti, & Cristina M. Alberini. (2022). Differential role of neuronal glucose and PFKFB3 in memory formation during development. Glia. 70(11). 2207–2231. 15 indexed citations
5.
Bisaz, Reto, et al.. (2021). Recovery of memory from infantile amnesia is developmentally constrained. Learning & Memory. 28(9). 300–306. 1 indexed citations
6.
Bessières, Benjamin, Alessio Travaglia, Todd M. Mowery, Xinying Zhang, & Cristina M. Alberini. (2020). Early life experiences selectively mature learning and memory abilities. Nature Communications. 11(1). 628–628. 35 indexed citations
7.
Bessières, Benjamin, et al.. (2019). Developmental changes in plasticity, synaptic, glia, and connectivity protein levels in rat basolateral amygdala. Learning & Memory. 26(11). 436–448. 12 indexed citations
8.
Alberini, Cristina M., Emmanuel Cruz, Giannina Descalzi, Benjamin Bessières, & Virginia Gao. (2017). Astrocyte glycogen and lactate: New insights into learning and memory mechanisms. Glia. 66(6). 1244–1262. 195 indexed citations
9.
Bessières, Benjamin, Olivier Nicole, & Bruno Bontempi. (2017). Assessing recent and remote associative olfactory memory in rats using the social transmission of food preference paradigm. Nature Protocols. 12(7). 1415–1436. 16 indexed citations

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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