Eiman Azim

3.5k total citations · 1 hit paper
26 papers, 2.1k citations indexed

About

Eiman Azim is a scholar working on Cognitive Neuroscience, Cell Biology and Neurology. According to data from OpenAlex, Eiman Azim has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Cell Biology and 5 papers in Neurology. Recurrent topics in Eiman Azim's work include Motor Control and Adaptation (11 papers), Zebrafish Biomedical Research Applications (6 papers) and Muscle activation and electromyography studies (4 papers). Eiman Azim is often cited by papers focused on Motor Control and Adaptation (11 papers), Zebrafish Biomedical Research Applications (6 papers) and Muscle activation and electromyography studies (4 papers). Eiman Azim collaborates with scholars based in United States, Sweden and Japan. Eiman Azim's co-authors include John C Tuthill, Vinod Menon, Dean Mobbs, Allan L. Reiss, Jeffrey D. Macklis, Thomas M. Jessell, Denis Jabaudon, B. Alstermark, Michael D. Greicius and Juan Jiang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Eiman Azim

25 papers receiving 2.0k citations

Hit Papers

Proprioception 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eiman Azim United States 18 691 532 452 417 306 26 2.1k
Ali Çetin United States 16 751 1.1× 906 1.7× 877 1.9× 569 1.4× 288 0.9× 24 2.5k
Adi Mizrahi Israel 28 1.0k 1.5× 1.3k 2.4× 291 0.6× 356 0.9× 91 0.3× 62 2.5k
H. Troy Ghashghaei United States 22 1.3k 1.9× 907 1.7× 223 0.5× 815 2.0× 307 1.0× 46 3.1k
Enrique Lanuza Spain 34 651 0.9× 979 1.8× 951 2.1× 290 0.7× 107 0.3× 82 2.7k
Victoria E. Abraira United States 16 777 1.1× 938 1.8× 196 0.4× 553 1.3× 93 0.3× 26 2.7k
Nadine Gogolla Germany 18 1.5k 2.2× 1.4k 2.6× 498 1.1× 661 1.6× 181 0.6× 20 3.2k
Dirk Schubert Netherlands 30 1.1k 1.6× 1.2k 2.3× 275 0.6× 700 1.7× 64 0.2× 69 2.6k
Juan Carlos López Spain 25 940 1.4× 1.1k 2.0× 339 0.8× 642 1.5× 77 0.3× 107 2.7k
Avi Chaudhuri Canada 26 1.3k 1.9× 761 1.4× 205 0.5× 467 1.1× 337 1.1× 56 2.2k
Jerry L. Chen United States 19 1.4k 2.0× 1.1k 2.1× 201 0.4× 313 0.8× 157 0.5× 29 2.2k

Countries citing papers authored by Eiman Azim

Since Specialization
Citations

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

Fields of papers citing papers by Eiman Azim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiman Azim

This figure shows the co-authorship network connecting the top 25 collaborators of Eiman Azim. A scholar is included among the top collaborators of Eiman Azim 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 Eiman Azim. Eiman Azim 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.
Gradwell, Mark A., Joshua K. Thackray, Fumiyasu Imai, et al.. (2025). The dorsal column nuclei scale mechanical sensitivity in naive and neuropathic pain states. Cell Reports. 44(4). 115556–115556. 1 indexed citations
2.
Azim, Eiman, et al.. (2025). The spinal premotor network driving scratching flexor and extensor alternation. Cell Reports. 44(6). 115845–115845.
3.
Wu, Yu, Hanlin Zhu, Pavlo Zolotavin, et al.. (2024). Ultraflexible electrodes for recording neural activity in the mouse spinal cord during motor behavior. Cell Reports. 43(5). 114199–114199. 5 indexed citations
4.
Azim, Eiman, et al.. (2023). Large-scale capture of hidden fluorescent labels for training generalizable markerless motion capture models. Nature Communications. 14(1). 5866–5866. 5 indexed citations
5.
Gepshtein, Sergei, Thomas A. Albright, Nick Andrews, et al.. (2023). Quantifying Behavior Using Deep Learning. Biological Psychiatry. 93(9). S7–S7. 1 indexed citations
6.
Bohannon, A.S., et al.. (2021). Modulation of tactile feedback for the execution of dexterous movement. Science. 374(6565). 316–323. 28 indexed citations
7.
Karashchuk, Pierre, Evyn S Dickinson, Sarah Walling-Bell, et al.. (2021). Anipose: A toolkit for robust markerless 3D pose estimation. Cell Reports. 36(13). 109730–109730. 136 indexed citations
8.
Azim, Eiman & Kazuhiko Seki. (2019). Gain control in the sensorimotor system. Current Opinion in Physiology. 8. 177–187. 49 indexed citations
9.
Tuthill, John C & Eiman Azim. (2018). Proprioception. Current Biology. 28(5). R194–R203. 279 indexed citations breakdown →
10.
Kishi, Noriyuki, et al.. (2016). Reduction of aberrant NF-κB signalling ameliorates Rett syndrome phenotypes in Mecp2-null mice. Nature Communications. 7(1). 10520–10520. 51 indexed citations
11.
Jiang, Juan, Eiman Azim, C.‐F. Ekerot, & B. Alstermark. (2015). Direct and indirect spino-cerebellar pathways: shared ideas but different functions in motor control. Frontiers in Computational Neuroscience. 9. 75–75. 12 indexed citations
12.
Azim, Eiman & B. Alstermark. (2015). Skilled forelimb movements and internal copy motor circuits. Current Opinion in Neurobiology. 33. 16–24. 23 indexed citations
13.
Azim, Eiman, Andrew J. P. Fink, & Thomas M. Jessell. (2014). Internal and External Feedback Circuits for Skilled Forelimb Movement. Cold Spring Harbor Symposia on Quantitative Biology. 79. 81–92. 21 indexed citations
14.
Fink, Andrew J. P., Katherine R. Croce, Z. Josh Huang, et al.. (2014). Presynaptic inhibition of spinal sensory feedback ensures smooth movement. Nature. 509(7498). 43–48. 184 indexed citations
15.
Azim, Eiman, Juan Jiang, B. Alstermark, & Thomas M. Jessell. (2014). Skilled reaching relies on a V2a propriospinal internal copy circuit. Nature. 508(7496). 357–363. 227 indexed citations
16.
Azim, Eiman. (2014). Shortcuts and checkpoints on the road to skilled movement. Science. 346(6209). 554–555. 3 indexed citations
17.
Azim, Eiman, Sara J. Shnider, G. Cederquist, U. Shivraj Sohur, & Jeffrey D. Macklis. (2009). Lmo4 and Clim1 Progressively Delineate Cortical Projection Neuron Subtypes during Development. Cerebral Cortex. 19(suppl_1). i62–i69. 52 indexed citations
18.
Lai, Tina, Denis Jabaudon, Bradley J. Molyneaux, et al.. (2008). SOX5 Controls the Sequential Generation of Distinct Corticofugal Neuron Subtypes. Neuron. 57(4). 626–626. 5 indexed citations
19.
Lai, Tina, Denis Jabaudon, Bradley J. Molyneaux, et al.. (2008). SOX5 Controls the Sequential Generation of Distinct Corticofugal Neuron Subtypes. Neuron. 57(2). 232–247. 234 indexed citations
20.
Mobbs, Dean, Michael D. Greicius, Eiman Azim, Vinod Menon, & Allan L. Reiss. (2003). Humor Modulates the Mesolimbic Reward Centers. Neuron. 40(5). 1041–1048. 301 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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