Hisham E. Atallah

2.0k total citations
8 papers, 1.5k citations indexed

About

Hisham E. Atallah is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Hisham E. Atallah has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Hisham E. Atallah's work include Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (4 papers) and Memory and Neural Mechanisms (3 papers). Hisham E. Atallah is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (4 papers) and Memory and Neural Mechanisms (3 papers). Hisham E. Atallah collaborates with scholars based in United States, South Korea and Singapore. Hisham E. Atallah's co-authors include Ann M. Graybiel, Mark W. Howe, Randall C. O’Reilly, Catherine A. Thorn, Jerry W. Rudy, Dan Lopez‐Paniagua, Li Qiu, Jonathan T. Ting, Minmin Luo and Jie Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Hisham E. Atallah

8 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hisham E. Atallah United States 8 970 960 247 123 92 8 1.5k
Monica Y. Song United States 6 595 0.6× 739 0.8× 200 0.8× 86 0.7× 56 0.6× 6 1.2k
Lin Gou United States 6 597 0.6× 719 0.7× 186 0.8× 88 0.7× 132 1.4× 9 1.2k
Houri Hintiryan United States 10 605 0.6× 781 0.8× 205 0.8× 88 0.7× 141 1.5× 15 1.3k
Michael S. Bienkowski United States 10 624 0.6× 764 0.8× 186 0.8× 84 0.7× 111 1.2× 18 1.2k
Nicholas N. Foster United States 8 592 0.6× 695 0.7× 203 0.8× 86 0.7× 59 0.6× 10 1.1k
Patrick L. Tierney United States 10 1.0k 1.0× 1.1k 1.2× 257 1.0× 120 1.0× 68 0.7× 13 1.5k
Robert N. S. Sachdev United States 25 1.2k 1.3× 1.5k 1.5× 204 0.8× 96 0.8× 59 0.6× 48 2.0k
Leonid S. Krimer United States 20 1.3k 1.4× 1.2k 1.3× 433 1.8× 99 0.8× 91 1.0× 21 2.0k
Jin Zhong Li United States 10 976 1.0× 630 0.7× 272 1.1× 122 1.0× 47 0.5× 10 1.4k
Ferenc Mátyás Hungary 16 1.4k 1.4× 1.3k 1.3× 207 0.8× 54 0.4× 106 1.2× 22 2.0k

Countries citing papers authored by Hisham E. Atallah

Since Specialization
Citations

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

Fields of papers citing papers by Hisham E. Atallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hisham E. Atallah. 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 Hisham E. Atallah. The network helps show where Hisham E. Atallah may publish in the future.

Co-authorship network of co-authors of Hisham E. Atallah

This figure shows the co-authorship network connecting the top 25 collaborators of Hisham E. Atallah. A scholar is included among the top collaborators of Hisham E. Atallah 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 Hisham E. Atallah. Hisham E. Atallah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Atallah, Hisham E., et al.. (2014). Neurons in the Ventral Striatum Exhibit Cell-Type-Specific Representations of Outcome during Learning. Neuron. 82(5). 1145–1156. 74 indexed citations
2.
Zhao, Shengli, Jonathan T. Ting, Hisham E. Atallah, et al.. (2011). Cell type–specific channelrhodopsin-2 transgenic mice for optogenetic dissection of neural circuitry function. Nature Methods. 8(9). 745–752. 490 indexed citations
3.
Howe, Mark W., et al.. (2011). Habit learning is associated with major shifts in frequencies of oscillatory activity and synchronized spike firing in striatum. Proceedings of the National Academy of Sciences. 108(40). 16801–16806. 81 indexed citations
4.
Desai, Mitul, Itamar Kahn, Ulf Knoblich, et al.. (2010). Mapping brain networks in awake mice using combined optical neural control and fMRI. Journal of Neurophysiology. 105(3). 1393–1405. 210 indexed citations
5.
Thorn, Catherine A., Hisham E. Atallah, Mark W. Howe, & Ann M. Graybiel. (2010). Differential Dynamics of Activity Changes in Dorsolateral and Dorsomedial Striatal Loops during Learning. Neuron. 66(5). 781–795. 293 indexed citations
6.
Atallah, Hisham E., Jerry W. Rudy, & Randall C. O’Reilly. (2008). The role of the dorsal striatum and dorsal hippocampus in probabilistic and deterministic odor discrimination tasks. Learning & Memory. 15(5). 294–298. 12 indexed citations
7.
Atallah, Hisham E., Dan Lopez‐Paniagua, Jerry W. Rudy, & Randall C. O’Reilly. (2006). Separate neural substrates for skill learning and performance in the ventral and dorsal striatum. Nature Neuroscience. 10(1). 126–131. 192 indexed citations
8.
Atallah, Hisham E., Michael J. Frank, & Randall C. O’Reilly. (2004). Hippocampus, cortex, and basal ganglia: Insights from computational models of complementary learning systems. Neurobiology of Learning and Memory. 82(3). 253–267. 120 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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