James Knierim

13.3k total citations · 3 hit papers
89 papers, 8.8k citations indexed

About

James Knierim is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, James Knierim has authored 89 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Cognitive Neuroscience, 68 papers in Cellular and Molecular Neuroscience and 14 papers in Sensory Systems. Recurrent topics in James Knierim's work include Memory and Neural Mechanisms (79 papers), Neuroscience and Neuropharmacology Research (66 papers) and Sleep and Wakefulness Research (18 papers). James Knierim is often cited by papers focused on Memory and Neural Mechanisms (79 papers), Neuroscience and Neuropharmacology Research (66 papers) and Sleep and Wakefulness Research (18 papers). James Knierim collaborates with scholars based in United States, China and Canada. James Knierim's co-authors include David C. Van Essen, Sachin S. Deshmukh, Joshua P. Neunuebel, Geeta Rao, D. Yoganarasimha, Inah Lee, Bruce L. McNaughton, Eric L. Hargreaves, Francesco Savelli and Cheng Wang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James Knierim

86 papers receiving 8.6k citations

Hit Papers

Neuronal responses to static texture patterns in area V1 ... 1992 2026 2003 2014 1992 1996 2018 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
James Knierim United States 45 7.7k 5.6k 928 877 665 89 8.8k
Marianne Fyhn Norway 26 6.6k 0.9× 5.5k 1.0× 676 0.7× 634 0.7× 379 0.6× 44 8.3k
Stefan Leutgeb United States 37 6.6k 0.8× 5.2k 0.9× 501 0.5× 949 1.1× 688 1.0× 58 7.6k
Torkel Hafting Norway 19 5.9k 0.8× 4.9k 0.9× 591 0.6× 552 0.6× 336 0.5× 33 7.2k
Seralynne D. Vann United Kingdom 44 6.0k 0.8× 3.7k 0.7× 479 0.5× 626 0.7× 476 0.7× 98 7.5k
Matthew L. Shapiro United States 40 4.9k 0.6× 4.1k 0.7× 398 0.4× 725 0.8× 503 0.8× 79 6.1k
Bruno Poucet France 48 5.1k 0.7× 3.6k 0.7× 999 1.1× 592 0.7× 292 0.4× 145 6.6k
Alessandro Treves Italy 45 8.8k 1.1× 5.3k 0.9× 631 0.7× 670 0.8× 589 0.9× 143 10.0k
Emma R. Wood United Kingdom 32 4.1k 0.5× 3.2k 0.6× 420 0.5× 772 0.9× 382 0.6× 76 5.6k
Matthew A. Wilson United States 41 13.5k 1.7× 10.8k 1.9× 633 0.7× 1.2k 1.4× 691 1.0× 91 15.4k
Mark Good United Kingdom 41 4.0k 0.5× 3.5k 0.6× 497 0.5× 745 0.8× 437 0.7× 127 6.5k

Countries citing papers authored by James Knierim

Since Specialization
Citations

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

Fields of papers citing papers by James Knierim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Knierim

This figure shows the co-authorship network connecting the top 25 collaborators of James Knierim. A scholar is included among the top collaborators of James Knierim 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 James Knierim. James Knierim 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.
Chen, Xiaojing, et al.. (2025). Impaired spatial coding of the hippocampus in a dentate gyrus hypoplasia mouse model. Proceedings of the National Academy of Sciences. 122(5). e2416214122–e2416214122.
2.
Madhav, Manu S., et al.. (2025). Allothetic and idiothetic spatial cues control the multiplexed theta phase coding of place cells. Nature Neuroscience. 28(10). 2106–2117. 1 indexed citations
3.
Johnson, Jeremy L., et al.. (2025). Landmark vector cells in the absence of visual input. iScience. 28(12). 113960–113960. 1 indexed citations
4.
Wang, Cheng, et al.. (2024). Multiplexing of temporal and spatial information in the lateral entorhinal cortex. Nature Communications. 15(1). 10533–10533. 2 indexed citations
5.
Wang, Cheng, Heekyung Lee, Geeta Rao, et al.. (2023). Superficial‐layer versus deep‐layer lateral entorhinal cortex: Coding of allocentric space, egocentric space, speed, boundaries, and corners. Hippocampus. 33(5). 448–464. 9 indexed citations
6.
Chen, Yuxi, et al.. (2023). Object‐place‐context learning impairment correlates with spatial learning impairment in agedLong–Evansrats. Hippocampus. 34(2). 88–99. 4 indexed citations
7.
Kim, Sang Hoon, Douglas GoodSmith, Guo‐li Ming, et al.. (2023). Global remapping in granule cells and mossy cells of the mouse dentate gyrus. Cell Reports. 42(4). 112334–112334. 8 indexed citations
8.
Madhav, Manu S., et al.. (2021). The Dome: A virtual reality apparatus for freely locomoting rodents. Journal of Neuroscience Methods. 368. 109336–109336. 8 indexed citations
9.
Wang, Cheng, Xiaojing Chen, Sachin S. Deshmukh, et al.. (2018). Egocentric coding of external items in the lateral entorhinal cortex. Science. 362(6417). 945–949. 172 indexed citations
10.
Neunuebel, Joshua P. & James Knierim. (2014). CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation. Neuron. 81(2). 416–427. 308 indexed citations
11.
Monaco, Joseph D., Geeta Rao, Eric D. Roth, & James Knierim. (2014). Attentive scanning behavior drives one-trial potentiation of hippocampal place fields. Nature Neuroscience. 17(5). 725–731. 107 indexed citations
12.
Neunuebel, Joshua P., D. Yoganarasimha, Geeta Rao, & James Knierim. (2013). Conflicts between Local and Global Spatial Frameworks Dissociate Neural Representations of the Lateral and Medial Entorhinal Cortex. Journal of Neuroscience. 33(22). 9246–9258. 95 indexed citations
13.
Neunuebel, Joshua P. & James Knierim. (2012). Spatial Firing Correlates of Physiologically Distinct Cell Types of the Rat Dentate Gyrus. Journal of Neuroscience. 32(11). 3848–3858. 123 indexed citations
14.
Knierim, James. (2009). Imagining the Possibilities: Ripples, Routes, and Reactivation. Neuron. 63(4). 421–423. 2 indexed citations
15.
16.
Hargreaves, Eric L., D. Yoganarasimha, & James Knierim. (2007). Cohesiveness of spatial and directional representations recorded from neural ensembles in the anterior thalamus, parasubiculum, medial entorhinal cortex, and hippocampus. Hippocampus. 17(9). 826–841. 52 indexed citations
17.
Guzowski, John F., James Knierim, & Edvard I Moser. (2004). Ensemble Dynamics of Hippocampal Regions CA3 and CA1. Neuron. 44(4). 581–584. 252 indexed citations
18.
Lee, Inah, D. Yoganarasimha, Geeta Rao, & James Knierim. (2004). Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3. Nature. 430(6998). 456–459. 324 indexed citations
19.
Knierim, James. (2000). LTP Takes Route in the Hippocampus. Neuron. 25(3). 504–506. 4 indexed citations
20.
Essen, David C. Van, D.J. Felleman, Edgar A. DeYoe, Jaime F. Olavarría, & James Knierim. (1990). Modular and Hierarchical Organization of Extrastriate Visual Cortex in the Macaque Monkey. Cold Spring Harbor Symposia on Quantitative Biology. 55(0). 679–696. 188 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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