Eric H. Wang

779 total citations
8 papers, 481 citations indexed

About

Eric H. Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Eric H. Wang has authored 8 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 2 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Eric H. Wang's work include Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (3 papers) and Neural dynamics and brain function (2 papers). Eric H. Wang is often cited by papers focused on Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (3 papers) and Neural dynamics and brain function (2 papers). Eric H. Wang collaborates with scholars based in United States, Russia and Japan. Eric H. Wang's co-authors include Michelle Cheng, Gary K. Steinberg, Min Lin, Barry M. Forman, Isabelle Dussault, Timothy W. Synold, Guohua Sun, Alex G. Lee, Stephanie Wang and Lief E. Fenno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Stroke.

In The Last Decade

Eric H. Wang

8 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric H. Wang United States 8 182 127 96 92 73 8 481
Gabriela Kłodowska-Duda Poland 14 160 0.9× 105 0.8× 178 1.9× 60 0.7× 15 0.2× 20 641
Neil V. Klinger United States 15 103 0.6× 66 0.5× 133 1.4× 69 0.8× 9 0.1× 27 678
Xin Ding China 15 67 0.4× 43 0.3× 320 3.3× 72 0.8× 15 0.2× 58 703
María Asunción Barreda-Manso Spain 11 104 0.6× 101 0.8× 220 2.3× 82 0.9× 7 0.1× 18 510
Marco Antonio Álvarez Vega Spain 14 129 0.7× 52 0.4× 123 1.3× 86 0.9× 6 0.1× 37 643
Javier María Peralta Ramos Argentina 12 79 0.4× 278 2.2× 171 1.8× 30 0.3× 13 0.2× 17 653
Yuqian Li China 14 105 0.6× 65 0.5× 202 2.1× 41 0.4× 16 0.2× 36 734
Daniel Smerin United States 10 75 0.4× 236 1.9× 138 1.4× 33 0.4× 11 0.2× 16 531
Stefan Donath Germany 11 63 0.3× 71 0.6× 495 5.2× 47 0.5× 40 0.5× 15 771
Shyh‐Yuh Liou Japan 10 124 0.7× 51 0.4× 190 2.0× 20 0.2× 15 0.2× 18 392

Countries citing papers authored by Eric H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Eric H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric H. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric H. Wang. A scholar is included among the top collaborators of Eric H. Wang 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 Eric H. Wang. Eric H. Wang 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.
Pendharkar, Arjun V., Daniel Smerin, Lorenzo González, et al.. (2020). Optogenetic Stimulation Reduces Neuronal Nitric Oxide Synthase Expression After Stroke. Translational Stroke Research. 12(2). 347–356. 15 indexed citations
2.
Mesci, Aruz, Fabrice Lucien, Xiaoyong Huang, et al.. (2019). RSPO3 is a prognostic biomarker and mediator of invasiveness in prostate cancer. Journal of Translational Medicine. 17(1). 125–125. 18 indexed citations
3.
Ito, Masaki, Markus Aswendt, Alex G. Lee, et al.. (2018). RNA-Sequencing Analysis Revealed a Distinct Motor Cortex Transcriptome in Spontaneously Recovered Mice After Stroke. Stroke. 49(9). 2191–2199. 38 indexed citations
4.
Shah, Aatman, Shunsuke Ishizaka, Michelle Cheng, et al.. (2017). Optogenetic neuronal stimulation of the lateral cerebellar nucleus promotes persistent functional recovery after stroke. Scientific Reports. 7(1). 46612–46612. 65 indexed citations
5.
Cheng, Michelle, Eric H. Wang, Stephanie Wang, et al.. (2014). Optogenetic neuronal stimulation promotes functional recovery after stroke. Proceedings of the National Academy of Sciences. 111(35). 12913–12918. 170 indexed citations
6.
Cheng, Michelle, Eric H. Wang, & Gary K. Steinberg. (2014). Optogenetic Approaches to Study Stroke Recovery. ACS Chemical Neuroscience. 5(12). 1144–1145. 17 indexed citations
7.
Dussault, Isabelle, et al.. (2001). Peptide Mimetic HIV Protease Inhibitors Are Ligands for the Orphan Receptor SXR. Journal of Biological Chemistry. 276(36). 33309–33312. 149 indexed citations
8.
Jang, Wooseung, Eric H. Wang, & Ramakrishna Akella. (2000). Economic in-line inspection sampling strategy with learning effects. International Journal of Production Research. 38(18). 4811–4821. 9 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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