H. Isaac Chen

1.7k total citations
41 papers, 986 citations indexed

About

H. Isaac Chen is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, H. Isaac Chen has authored 41 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 14 papers in Neurology and 10 papers in Cognitive Neuroscience. Recurrent topics in H. Isaac Chen's work include Neuroscience and Neural Engineering (11 papers), Nerve injury and regeneration (10 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). H. Isaac Chen is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Nerve injury and regeneration (10 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). H. Isaac Chen collaborates with scholars based in United States and Romania. H. Isaac Chen's co-authors include D. Kacy Cullen, John A. Wolf, Mijail D. Serruya, Guo‐li Ming, Douglas H. Smith, Hongjun Song, Laura A. Struzyna, Justin C. Burrell, Dennis Jgamadze and James P. Harris and has published in prestigious journals such as JAMA, Advanced Functional Materials and International Journal of Molecular Sciences.

In The Last Decade

H. Isaac Chen

40 papers receiving 973 citations

Peers

H. Isaac Chen

CMN

NEURO

Samit Chakrabarty United Kingdom

Michelle L. Starkey Switzerland

Athanasia Warnecke Germany

Noam Y. Harel United States

Xiaohong Li China

Quentin Barraud Switzerland

Dena R. Howland United States

Eric Schmidlin Switzerland

Tarun Saxena United States

Andrew Lowe United Kingdom

Samit Chakrabarty United Kingdom

H. Isaac Chen

314 ×0.7

CMN

310 ×1.2

244 ×1.0

215 ×1.0

156 ×1.1

NEURO

Citations per year, relative to H. Isaac Chen H. Isaac Chen (= 1×) peers Samit Chakrabarty

Countries citing papers authored by H. Isaac Chen

Since Specialization

Citations

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

Fields of papers citing papers by H. Isaac Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Isaac Chen. 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 H. Isaac Chen. The network helps show where H. Isaac Chen may publish in the future.

Co-authorship network of co-authors of H. Isaac Chen

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

All Works

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20 of 20 papers shown

Browne, Kevin D., Jonathan H. Galarraga, Dimple Chouhan, et al.. (2024). Dopaminergic Axon Tracts Within a Hyaluronic Acid Hydrogel Encasement to Restore the Nigrostriatal Pathway. Advanced Healthcare Materials. 14(2). e2402997–e2402997. 2 indexed citations

Wathen, Connor, Rachel Blue, H. Isaac Chen, et al.. (2023). Large Language Model-Based Neurosurgical Evaluation Matrix: A Novel Scoring Criteria to Assess the Efficacy of ChatGPT as an Educational Tool for Neurosurgery Board Preparation. World Neurosurgery. 180. e765–e773. 17 indexed citations

Blue, Rachel, Dennis Jgamadze, Jonathan D. Moreno, et al.. (2023). Human brain organoid transplantation: ethical implications of enhancing specific cerebral functions in small-animal models. 2. 14–14. 3 indexed citations

Jgamadze, Dennis, John A. Wolf, Hongjun Song, et al.. (2023). Cell Replacement Therapy for Brain Repair: Recent Progress and Remaining Challenges for Treating Parkinson’s Disease and Cortical Injury. Brain Sciences. 13(12). 1654–1654. 3 indexed citations

Smith, Douglas H., Justin C. Burrell, Kevin D. Browne, et al.. (2022). Tissue-engineered grafts exploit axon-facilitated axon regeneration and pathway protection to enable recovery after 5-cm nerve defects in pigs. Science Advances. 8(44). eabm3291–eabm3291. 25 indexed citations

Nabavizadeh, Ali, Stephen Bagley, Robert K. Doot, et al.. (2022). Distinguishing Progression from Pseudoprogression in Glioblastoma Using¹⁸F-Fluciclovine PET. Journal of Nuclear Medicine. 64(6). 852–858. 18 indexed citations

Xu, Linda, Jeffrey B. Ware, Junghoon Kim, et al.. (2021). Arterial Spin Labeling Reveals Elevated Cerebral Blood Flow with Distinct Clusters of Hypo- and Hyperperfusion after Traumatic Brain Injury. Journal of Neurotrauma. 38(18). 2538–2548. 8 indexed citations

Chouhan, Dimple, Rodrigo A. España, H. Isaac Chen, et al.. (2021). Restoring lost nigrostriatal fibers in Parkinson’s disease based on clinically-inspired design criteria. Brain Research Bulletin. 175. 168–185. 18 indexed citations

Mensah‐Brown, Kobina, et al.. (2021). Use of Second Window ICG in spinal cord biopsy of a mildly contrast-enhancing lesion: Technical note and review of the literature. Neurochirurgie. 68(2). 239–242. 3 indexed citations

10.

O’Donnell, John C., et al.. (2020). Tissue Engineering and Biomaterial Strategies to Elicit Endogenous Neuronal Replacement in the Brain. Frontiers in Neurology. 11. 344–344. 20 indexed citations

11.

Das, Suradip, Harry C. Ledebur, Foteini Mourkioti, et al.. (2020). Innervation: the missing link for biofabricated tissues and organs. npj Regenerative Medicine. 5(1). 11–11. 79 indexed citations

12.

Clark, Elisia, John C. O’Donnell, Laura A. Struzyna, et al.. (2020). Engineered microtissue as an anatomically inspired model of Parkinson's disease. Current Opinion in Biomedical Engineering. 14. 75–83. 3 indexed citations

13.

Cullen, D. Kacy, Laura A. Struzyna, Dennis Jgamadze, et al.. (2019). Bundled Three-Dimensional Human Axon Tracts Derived from Brain Organoids. iScience. 21. 57–67. 41 indexed citations

14.

Ulyanova, Alexandra V., Paul F. Koch, Carlo Cottone, et al.. (2018). Electrophysiological Signature Reveals Laminar Structure of the Porcine Hippocampus. eNeuro. 5(5). ENEURO.0102–18.2018. 11 indexed citations

15.

Madsen, Peter J., H. Isaac Chen, & Shih‐Shan Lang. (2018). Neurosurgical Approaches. Physical Medicine and Rehabilitation Clinics of North America. 29(3). 553–565. 5 indexed citations

16.

Chen, H. Isaac, John A. Wolf, & Douglas H. Smith. (2017). Multichannel activity propagation across an engineered axon network. Journal of Neural Engineering. 14(2). 26016–26016. 12 indexed citations

17.

Adewole, Dayo O., Mijail D. Serruya, James P. Harris, et al.. (2016). The Evolution of Neuroprosthetic Interfaces. Critical Reviews in Biomedical Engineering. 44(1-02). 123–152. 55 indexed citations

18.

Chen, H. Isaac, Dennis Jgamadze, Mijail D. Serruya, et al.. (2016). Neural Substrate Expansion for the Restoration of Brain Function. Frontiers in Systems Neuroscience. 10. 1–1. 111 indexed citations

19.

Struzyna, Laura A., John A. Wolf, Constance J. Mietus, et al.. (2015). Rebuilding Brain Circuitry with Living Micro-Tissue Engineered Neural Networks. Tissue Engineering Part A. 21(21-22). 2744–2756. 56 indexed citations

20.

Richardson, Andrew G., Mark Attiah, Jeffrey Berman, et al.. (2015). The effects of acute cortical somatosensory deafferentation on grip force control. Cortex. 74. 1–8. 19 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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