Michele Nardin

558 total citations
9 papers, 235 citations indexed

About

Michele Nardin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Michele Nardin has authored 9 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Michele Nardin's work include Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (4 papers). Michele Nardin is often cited by papers focused on Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (4 papers). Michele Nardin collaborates with scholars based in Austria, United States and Italy. Michele Nardin's co-authors include Jozsef Csicsvari, Federico Stella, Joseph O’Neill, Charlotte N. Boccara, Karola Kaefer, Marc Kaufmann, Meinhard Kritzinger, Giacomo Strapazzon, Hermann Brugger and Sander Keemink and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Michele Nardin

8 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Nardin Austria 6 181 115 26 23 15 9 235
Benjamin Corrigan Canada 8 178 1.0× 103 0.9× 4 0.2× 3 0.2× 13 194
Alex Vaz United States 5 288 1.6× 171 1.5× 6 0.3× 9 0.6× 6 327
Christopher Libby United States 4 286 1.6× 250 2.2× 1 0.0× 4 0.2× 6 0.4× 4 327
Aryeh H. Taub Israel 9 202 1.1× 141 1.2× 9 0.3× 1 0.0× 6 0.4× 16 257
Meredith Mahnke United States 7 126 0.7× 57 0.5× 4 0.2× 3 0.1× 4 0.3× 10 183
Ayan S. Waite United States 4 203 1.1× 64 0.6× 2 0.1× 3 0.1× 11 0.7× 4 240
Bing‐Xing Huo United States 8 139 0.8× 64 0.6× 8 0.3× 7 0.5× 10 248
Vito De Feo Italy 8 126 0.7× 109 0.9× 2 0.1× 10 0.7× 13 249
Benjamin Adams United States 6 62 0.3× 76 0.7× 1 0.0× 2 0.1× 2 0.1× 18 194
Shane P. D’Souza United States 9 26 0.1× 51 0.4× 8 0.3× 2 0.1× 2 0.1× 15 234

Countries citing papers authored by Michele Nardin

Since Specialization
Citations

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

Fields of papers citing papers by Michele Nardin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Nardin

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Nardin. A scholar is included among the top collaborators of Michele Nardin 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 Michele Nardin. Michele Nardin 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.
Nardin, Michele, et al.. (2025). Learning reshapes the hippocampal representation hierarchy. Proceedings of the National Academy of Sciences. 122(11). e2417025122–e2417025122.
2.
Balueva, Kira, et al.. (2024). Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. Neuron. 112(12). 2045–2061.e10. 11 indexed citations
3.
Nardin, Michele, Karola Kaefer, Federico Stella, & Jozsef Csicsvari. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9). 113015–113015. 8 indexed citations
4.
Nardin, Michele, Jozsef Csicsvari, Gašper Tkačik, & Cristina Savin. (2023). The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience. Journal of Neuroscience. 43(48). 8140–8156. 1 indexed citations
5.
Nardin, Michele, et al.. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. SHILAP Revista de lepidopterología. 1. 3 indexed citations
6.
Kaefer, Karola, et al.. (2020). Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching. Neuron. 106(1). 154–165.e6. 64 indexed citations
7.
Boccara, Charlotte N., Michele Nardin, Federico Stella, Joseph O’Neill, & Jozsef Csicsvari. (2019). The entorhinal cognitive map is attracted to goals. Science. 363(6434). 1443–1447. 112 indexed citations
8.
Strapazzon, Giacomo, et al.. (2011). Respiratory Failure and Spontaneous Hypoglycemia During Noninvasive Rewarming From 24.7°C (76.5°F) Core Body Temperature After Prolonged Avalanche Burial. Annals of Emergency Medicine. 60(2). 193–196. 29 indexed citations
9.
Nardin, Michele, et al.. (2009). Fatal cardiac arrest in an adult patient with euthyroid anti-SSA/Ro-positive connective tissue disease: a case report. International Archives of Medicine. 2(1). 15–15. 7 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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