Ziv M. Williams

6.7k total citations · 2 hit papers
93 papers, 4.1k citations indexed

About

Ziv M. Williams is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Ziv M. Williams has authored 93 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cognitive Neuroscience, 39 papers in Cellular and Molecular Neuroscience and 30 papers in Neurology. Recurrent topics in Ziv M. Williams's work include Neural dynamics and brain function (38 papers), Neuroscience and Neural Engineering (23 papers) and Neurological disorders and treatments (20 papers). Ziv M. Williams is often cited by papers focused on Neural dynamics and brain function (38 papers), Neuroscience and Neural Engineering (23 papers) and Neurological disorders and treatments (20 papers). Ziv M. Williams collaborates with scholars based in United States, China and United Kingdom. Ziv M. Williams's co-authors include Emad N. Eskandar, G. Rees Cosgrove, George Bush, Ramin Amirnovin, Scott L. Rauch, Evan Z. Macosko, Edward S. Boyden, J. L. Sherwood, Daniel R. Berger and Paola Arlotta and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Ziv M. Williams

88 papers receiving 4.0k citations

Hit Papers

Cell diversity and network dynamics in photosensitive hum... 2017 2026 2020 2023 2017 2022 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
Ziv M. Williams United States 30 2.1k 1.3k 841 775 400 93 4.1k
Adam N. Mamelak United States 51 3.3k 1.6× 1.6k 1.3× 604 0.7× 839 1.1× 483 1.2× 159 7.4k
Takuya Hayashi Japan 36 1.1k 0.5× 1.1k 0.9× 655 0.8× 1.7k 2.2× 447 1.1× 143 4.9k
Letizia Leocani Italy 42 2.0k 1.0× 886 0.7× 1.2k 1.5× 868 1.1× 668 1.7× 241 6.4k
Joel M. Stein United States 38 1.9k 0.9× 1.0k 0.8× 357 0.4× 1.0k 1.3× 442 1.1× 98 4.2k
Hajime Mushiake Japan 36 3.5k 1.7× 992 0.8× 413 0.5× 369 0.5× 444 1.1× 161 5.0k
Kelly A. Zalocusky United States 15 1.7k 0.8× 2.1k 1.7× 203 0.2× 1.7k 2.2× 511 1.3× 21 5.5k
Nancy L. Sicotte United States 37 1.6k 0.8× 390 0.3× 455 0.5× 428 0.6× 172 0.4× 78 5.4k
Anne‐Catherine Bachoud‐Lévi France 39 1.5k 0.7× 2.1k 1.7× 1.5k 1.8× 1.2k 1.6× 59 0.1× 161 4.7k
Jeanne T. Paz United States 22 1.9k 0.9× 2.5k 2.0× 330 0.4× 844 1.1× 178 0.4× 37 4.1k

Countries citing papers authored by Ziv M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ziv M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ziv M. Williams. 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 Ziv M. Williams. The network helps show where Ziv M. Williams may publish in the future.

Co-authorship network of co-authors of Ziv M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ziv M. Williams. A scholar is included among the top collaborators of Ziv M. Williams 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 Ziv M. Williams. Ziv M. Williams 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.
Bandyopadhyay, Debasish, Sebastian Unizony, Ziv M. Williams, et al.. (2025). Subclinical Atherosclerosis In ANCA-associated Vasculitis. Journal of cardiovascular computed tomography. 19(4). S79–S79.
2.
Wimalasena, Lahiru N., Daniel B. Rubin, Ziv M. Williams, et al.. (2025). Stabilizing brain-computer interfaces through alignment of latent dynamics. Nature Communications. 16(1). 4662–4662. 4 indexed citations
3.
Jamali, Mohsen, Benjamin L. Grannan, Jing Cai, et al.. (2024). Semantic encoding during language comprehension at single-cell resolution. Nature. 631(8021). 610–616. 13 indexed citations
4.
Khanna, Arjun, William Muñoz, Young Joon Kim, et al.. (2024). Single-neuronal elements of speech production in humans. Nature. 626(7999). 603–610. 23 indexed citations
5.
Zelmann, Rina, Angelique C. Paulk, Britni Crocker, et al.. (2023). Differential cortical network engagement during states of un/consciousness in humans. Neuron. 111(21). 3479–3495.e6. 19 indexed citations
6.
Lewis, Laura D., David Zhou, Angelique C. Paulk, et al.. (2023). Characterizing brain dynamics during ketamine-induced dissociation and subsequent interactions with propofol using human intracranial neurophysiology. Nature Communications. 14(1). 1748–1748. 31 indexed citations
8.
Paulk, Angelique C., Yoav Kfir, Eric M. Trautmann, et al.. (2023). Robust Online Multiband Drift Estimation in Electrophysiology Data. PubMed. 10. 1–5. 4 indexed citations
9.
Báez-Mendoza, Raymundo, et al.. (2021). Social agent identity cells in the prefrontal cortex of interacting groups of primates. Science. 374(6566). eabb4149–eabb4149. 41 indexed citations
10.
Jamali, Mohsen, Benjamin L. Grannan, Evelina Fedorenko, et al.. (2021). Single-neuronal predictions of others’ beliefs in humans. Nature. 591(7851). 610–614. 56 indexed citations
11.
Zelmann, Rina, Angelique C. Paulk, Ishita Basu, et al.. (2020). CLoSES: A platform for closed-loop intracranial stimulation in humans. NeuroImage. 223. 117314–117314. 19 indexed citations
12.
Fedorenko, Evelina, Mirela V. Simon, William T. Curry, et al.. (2018). Neural encoding and production of functional morphemes in the posterior temporal lobe. Nature Communications. 9(1). 1877–1877. 19 indexed citations
13.
Fedorenko, Evelina, Ziv M. Williams, & Victor S. Ferreira. (2018). Remaining Puzzles about Morpheme Production in the Posterior Temporal Lobe. Neuroscience. 392. 160–163. 4 indexed citations
14.
Beaulieu-Laroche, Lou, Enrique H.S. Toloza, Mathieu Lafourcade, et al.. (2018). Enhanced Dendritic Compartmentalization in Human Cortical Neurons. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
15.
Beaulieu-Laroche, Lou, Enrique H.S. Toloza, Mathieu Lafourcade, et al.. (2018). Enhanced Dendritic Compartmentalization in Human Cortical Neurons. Cell. 175(3). 643–651.e14. 164 indexed citations
16.
Hu, Kejia, Tiansong Zhang, Matthew M. Hutter, Wen-Dong Xu, & Ziv M. Williams. (2016). Thirty-Day Perioperative Adverse Outcomes After Peripheral Nerve Surgery: An Analysis of 2351 Patients in the American College of Surgeons National Surgical Quality Improvement Program Database. World Neurosurgery. 94. 409–417. 16 indexed citations
17.
Shanechi, Maryam M., et al.. (2014). A cortical–spinal prosthesis for targeted limb movement in paralysed primate avatars. Nature Communications. 5(1). 3237–3237. 37 indexed citations
18.
Shanechi, Maryam M., et al.. (2012). Neural population partitioning and a concurrent brain-machine interface for sequential motor function. Nature Neuroscience. 15(12). 1715–1722. 67 indexed citations
20.
Williams, Ziv M., Victor Tse, Lewis Hou, Lei Xu, & Gerald D. Silverberg. (2000). Sonic hedgehog promotes proliferation and tyrosine hydroxylase induction of postnatal sympathetic cells in vitro. Neuroreport. 11(15). 3315–3319. 16 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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