Michael J. Kahana

31.4k total citations · 6 hit papers
256 papers, 19.1k citations indexed

About

Michael J. Kahana is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Michael J. Kahana has authored 256 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Cognitive Neuroscience, 56 papers in Cellular and Molecular Neuroscience and 38 papers in Artificial Intelligence. Recurrent topics in Michael J. Kahana's work include Memory and Neural Mechanisms (94 papers), Memory Processes and Influences (89 papers) and Neural dynamics and brain function (88 papers). Michael J. Kahana is often cited by papers focused on Memory and Neural Mechanisms (94 papers), Memory Processes and Influences (89 papers) and Neural dynamics and brain function (88 papers). Michael J. Kahana collaborates with scholars based in United States, Israel and Canada. Michael J. Kahana's co-authors include Marc W. Howard, Joseph R. Madsen, Joshua Jacobs, Jeremy B. Caplan, Itzhak Fried, Per B. Sederberg, Sean M. Polyn, Robert Sekuler, Bradley Lega and Arne D. Ekstrom and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael J. Kahana

250 papers receiving 18.6k citations

Hit Papers

Cellular networks underlying human spatial navigation 2001 2026 2009 2017 2003 2002 2009 2001 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Kahana United States 71 16.4k 5.1k 1.8k 1.7k 1.7k 256 19.1k
Daniel J. Simons United States 73 14.2k 0.9× 5.1k 1.0× 3.9k 2.2× 2.3k 1.3× 799 0.5× 230 21.6k
Peter König Germany 65 14.7k 0.9× 4.9k 1.0× 1.5k 0.9× 484 0.3× 1.1k 0.7× 351 19.4k
Charan Ranganath United States 75 17.6k 1.1× 4.5k 0.9× 2.3k 1.3× 1.9k 1.1× 534 0.3× 191 20.6k
Nathaniel D. Daw United States 71 15.5k 0.9× 4.9k 1.0× 3.8k 2.2× 1.7k 1.0× 1.6k 0.9× 169 21.3k
Andrew P. Yonelinas United States 71 21.0k 1.3× 3.5k 0.7× 2.5k 1.4× 3.5k 2.0× 1.5k 0.9× 204 24.0k
Randall C. O’Reilly United States 56 13.2k 0.8× 4.8k 0.9× 1.9k 1.1× 2.0k 1.1× 1.6k 1.0× 127 16.7k
Neal J. Cohen United States 64 12.6k 0.8× 3.3k 0.6× 2.1k 1.2× 3.0k 1.7× 424 0.2× 192 18.5k
Barbara J. Knowlton United States 56 12.3k 0.7× 5.4k 1.1× 1.8k 1.0× 3.3k 1.9× 770 0.5× 165 17.9k
Earl K. Miller United States 73 30.1k 1.8× 6.5k 1.3× 3.8k 2.2× 2.0k 1.1× 1.3k 0.7× 172 35.7k
Yael Niv United States 63 9.2k 0.6× 2.8k 0.6× 1.9k 1.1× 1.1k 0.6× 1.1k 0.7× 175 14.6k

Countries citing papers authored by Michael J. Kahana

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Kahana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Kahana. 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 Michael J. Kahana. The network helps show where Michael J. Kahana may publish in the future.

Co-authorship network of co-authors of Michael J. Kahana

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Kahana. A scholar is included among the top collaborators of Michael J. Kahana 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 Michael J. Kahana. Michael J. Kahana 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
1.
Greene, Nathaniel R., et al.. (2025). Interresponse times in free recall.. Journal of Experimental Psychology Learning Memory and Cognition. 52(3). 422–442.
2.
Lega, Bradley, Robert A. Gross, Chengyuan Wu, et al.. (2025). Study-phase reinstatement predicts subsequent recall. Nature Neuroscience. 28(4). 883–890.
3.
Schonhaut, Daniel R., Ashwin G. Ramayya, Ethan A. Solomon, et al.. (2024). MTL neurons phase-lock to human hippocampal theta. eLife. 13. 3 indexed citations
4.
Schonhaut, Daniel R., Zahra M. Aghajan, Michael J. Kahana, & Itzhak Fried. (2023). A neural code for time and space in the human brain. Cell Reports. 42(11). 113238–113238. 7 indexed citations
5.
Weidemann, Christoph T., et al.. (2023). Direct brain recordings suggest a causal subsequent-memory effect. Cerebral Cortex. 33(11). 6891–6901. 3 indexed citations
6.
Tracy, Jessica L., et al.. (2023). Multitrial free recall for evaluating memory.. Neuropsychology. 38(1). 58–68.
7.
Kragel, James E., Youssef Ezzyat, Bradley Lega, et al.. (2021). Distinct cortical systems reinstate the content and context of episodic memories. Nature Communications. 12(1). 4444–4444. 9 indexed citations
8.
Wanda, Paul A., Ethan A. Solomon, Bradley Lega, et al.. (2020). Biomarkers of memory variability in traumatic brain injury. Brain Communications. 3(1). fcaa202–fcaa202. 7 indexed citations
9.
Umbach, Gray, Pranish A. Kantak, Joshua Jacobs, et al.. (2020). Time cells in the human hippocampus and entorhinal cortex support episodic memory. Proceedings of the National Academy of Sciences. 117(45). 28463–28474. 113 indexed citations
10.
Kahana, Michael J.. (2019). Computational Models of Memory Search. Annual Review of Psychology. 71(1). 107–138. 52 indexed citations
11.
Solomon, Ethan A., Bradley Lega, Michael R. Sperling, & Michael J. Kahana. (2019). Hippocampal theta codes for distances in semantic and temporal spaces. Proceedings of the National Academy of Sciences. 116(48). 24343–24352. 97 indexed citations
13.
Rugg, Michael D., Sandhitsu R. Das, Joel M. Stein, et al.. (2017). Theta band power increases in the posterior hippocampus predict successful episodic memory encoding in humans. Hippocampus. 27(10). 1040–1053. 72 indexed citations
14.
Miller, Jonathan, Markus Neufang, Alec Solway, et al.. (2013). Neural Activity in Human Hippocampal Formation Reveals the Spatial Context of Retrieved Memories. Science. 342(6162). 1111–1114. 235 indexed citations
15.
Jacobs, Joshua & Michael J. Kahana. (2009). Neural Representations of Individual Stimuli in Humans Revealed by Gamma-Band Electrocorticographic Activity. Journal of Neuroscience. 29(33). 10203–10214. 87 indexed citations
16.
Manning, Jeremy R., Joshua Jacobs, Itzhak Fried, & Michael J. Kahana. (2009). Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans. Journal of Neuroscience. 29(43). 13613–13620. 673 indexed citations breakdown →
17.
Zaromb, Franklin M., Marc W. Howard, Emily Dolan, et al.. (2006). Temporal associations and prior-list intrusions in free recall.. Journal of Experimental Psychology Learning Memory and Cognition. 32(4). 792–804. 66 indexed citations
18.
Schwartz, Gregory W., et al.. (2005). Shadows of the Past. Psychological Science. 16(11). 898–904. 74 indexed citations
19.
Klein, Krystal A., et al.. (2003). A comparative analysis of learning in multitrial free and serial recall. eScholarship (California Digital Library). 25(25). 1 indexed citations
20.
Kahana, Michael J., David Seelig, & Joseph R. Madsen. (2001). Theta returns. Current Opinion in Neurobiology. 11(6). 739–744. 413 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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