Farah Laiwalla

1.2k total citations
24 papers, 848 citations indexed

About

Farah Laiwalla is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Farah Laiwalla has authored 24 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 14 papers in Electrical and Electronic Engineering and 13 papers in Cognitive Neuroscience. Recurrent topics in Farah Laiwalla's work include Neuroscience and Neural Engineering (19 papers), EEG and Brain-Computer Interfaces (10 papers) and Advanced Memory and Neural Computing (10 papers). Farah Laiwalla is often cited by papers focused on Neuroscience and Neural Engineering (19 papers), EEG and Brain-Computer Interfaces (10 papers) and Advanced Memory and Neural Computing (10 papers). Farah Laiwalla collaborates with scholars based in United States, South Korea and Spain. Farah Laiwalla's co-authors include A. V. Nurmikko, Vincent Leung, Ji-Hun Lee, Yoon‐Kyu Song, L.E. Larson, Jiannan Huang, Patrick P. Mercier, Ah‐Hyoung Lee, Christopher W. Bull and John P. Donoghue and has published in prestigious journals such as Advanced Functional Materials, Proceedings of the IEEE and American Journal Of Pathology.

In The Last Decade

Farah Laiwalla

24 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farah Laiwalla United States 14 556 429 377 276 41 24 848
Jared P. Ness United States 10 598 1.1× 257 0.6× 357 0.9× 210 0.8× 65 1.6× 21 867
Martha I. Betancur United States 10 627 1.1× 138 0.3× 230 0.6× 383 1.4× 68 1.7× 13 899
Stephan J. Ihle Switzerland 13 203 0.4× 234 0.5× 415 1.1× 139 0.5× 90 2.2× 24 742
Cecilia Eriksson Linsmeier Sweden 11 421 0.8× 127 0.3× 183 0.5× 200 0.7× 24 0.6× 13 521
Steven M. Wellman United States 12 595 1.1× 168 0.4× 209 0.6× 242 0.9× 30 0.7× 16 748
Kristoffer Famm United Kingdom 11 454 0.8× 137 0.3× 273 0.7× 229 0.8× 308 7.5× 12 1.0k
David Tsai Australia 17 655 1.2× 407 0.9× 160 0.4× 303 1.1× 134 3.3× 51 829
Yoonsu Choi United States 13 193 0.3× 262 0.6× 379 1.0× 61 0.2× 29 0.7× 31 601

Countries citing papers authored by Farah Laiwalla

Since Specialization
Citations

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

Fields of papers citing papers by Farah Laiwalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farah Laiwalla

This figure shows the co-authorship network connecting the top 25 collaborators of Farah Laiwalla. A scholar is included among the top collaborators of Farah Laiwalla 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 Farah Laiwalla. Farah Laiwalla 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.
Lee, Ji-Hun, Ah‐Hyoung Lee, Vincent Leung, et al.. (2024). An asynchronous wireless network for capturing event-driven data from large populations of autonomous sensors. Nature Electronics. 7(4). 313–324. 10 indexed citations
2.
Lee, Ji-Hun, Ah‐Hyoung Lee, Vincent Leung, et al.. (2024). Author Correction: An asynchronous wireless network for capturing event-driven data from large populations of autonomous sensors. Nature Electronics. 7(5). 414–414. 1 indexed citations
3.
Leung, Vincent, Ah‐Hyoung Lee, Ji-Hun Lee, et al.. (2023). Improving Wireless Power Transfer Efficiency for Distributed Brain Implants using Auto-Tune OVP. 1–5. 1 indexed citations
4.
Lee, Ji-Hun, Vincent Leung, Ah‐Hyoung Lee, et al.. (2021). Neural recording and stimulation using wireless networks of microimplants. Nature Electronics. 4(8). 604–614. 119 indexed citations
5.
Lee, Ah‐Hyoung, Ji-Hun Lee, Farah Laiwalla, et al.. (2020). A Scalable and Low Stress Post-CMOS Processing Technique for Implantable Microsensors. Micromachines. 11(10). 925–925. 12 indexed citations
6.
Leung, Vincent, Ji-Hun Lee, Jiannan Huang, et al.. (2019). Distributed Microscale Brain Implants with Wireless Power Transfer and Mbps Bi-directional Networked Communications. 1–4. 19 indexed citations
7.
Laiwalla, Farah & A. V. Nurmikko. (2019). Future of Neural Interfaces. Advances in experimental medicine and biology. 1101. 225–241. 6 indexed citations
8.
Laiwalla, Farah, Ji-Hun Lee, Ah‐Hyoung Lee, et al.. (2019). A Distributed Wireless Network of Implantable Sub-mm Cortical Microstimulators for Brain-Computer Interfaces. PubMed. 2019. 6876–6879. 22 indexed citations
9.
Jeong, Joonsoo, Farah Laiwalla, Ji-Hun Lee, et al.. (2018). Conformal Hermetic Sealing of Wireless Microelectronic Implantable Chiplets by Multilayered Atomic Layer Deposition (ALD). Advanced Functional Materials. 29(5). 70 indexed citations
10.
Lee, Ji-Hun, Farah Laiwalla, Joonsoo Jeong, et al.. (2018). Wireless Power and Data Link for Ensembles of Sub-mm scale Implantable Sensors near 1GHz. 1–4. 25 indexed citations
11.
Leung, Vincent, Ji-Hun Lee, Siwei Li, et al.. (2018). A CMOS Distributed Sensor System for High-Density Wireless Neural Implants for Brain-Machine Interfaces. 230–233. 32 indexed citations
12.
Cai, Haili, Ji-Hun Lee, L.E. Larson, et al.. (2018). A Software-Defined Radio for Wireless Brain Implants Network. 852–854. 4 indexed citations
13.
Nurmikko, A. V., John P. Donoghue, Leigh R. Hochberg, et al.. (2010). Listening to Brain Microcircuits for Interfacing With External World—Progress in Wireless Implantable Microelectronic Neuroengineering Devices. Proceedings of the IEEE. 98(3). 375–388. 93 indexed citations
14.
Song, Yoon‐Kyu, David A. Borton, William R. Patterson, et al.. (2009). Active Microelectronic Neurosensor Arrays for Implantable Brain Communication Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 17(4). 339–345. 67 indexed citations
15.
Zhang, Jiayi, Farah Laiwalla, Jennifer A. Kim, et al.. (2009). Integrated device for optical stimulation and spatiotemporal electrical recording of neural activity in light-sensitized brain tissue. Journal of Neural Engineering. 6(5). 55007–55007. 147 indexed citations
16.
Zhang, Jiayi, Farah Laiwalla, Hayato Urabe, et al.. (2009). A microelectrode array incorporating an optical waveguide device for stimulation and spatiotemporal electrical recording of neural activity. PubMed. 2009. 2046–2049. 13 indexed citations
17.
Borton, David A., Yoon‐Kyu Song, William R. Patterson, et al.. (2009). Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem. PubMed. 13. 5531–5534. 13 indexed citations
18.
Jay, Steven M., et al.. (2007). Foreign Body Giant Cell Formation Is Preceded by Lamellipodia Formation and Can Be Attenuated by Inhibition of Rac1 Activation. American Journal Of Pathology. 171(2). 632–640. 81 indexed citations
19.
Laiwalla, Farah, Kathryn G. Klemic, Fred J. Sigworth, & Eugenio Culurciello. (2006). An integrated patch-clamp amplifier in silicon-on-sapphire CMOS. 4–4. 12 indexed citations
20.
Culurciello, Eugenio, et al.. (2006). An integrated Silicon-on-sapphire Patch-clamp amplifier. 1–2. 2 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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