Eric J. Huang

33.4k total citations · 8 hit papers
173 papers, 20.9k citations indexed

About

Eric J. Huang is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric J. Huang has authored 173 papers receiving a total of 20.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 47 papers in Neurology and 34 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric J. Huang's work include Amyotrophic Lateral Sclerosis Research (30 papers), Alzheimer's disease research and treatments (27 papers) and Neurogenesis and neuroplasticity mechanisms (27 papers). Eric J. Huang is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (30 papers), Alzheimer's disease research and treatments (27 papers) and Neurogenesis and neuroplasticity mechanisms (27 papers). Eric J. Huang collaborates with scholars based in United States, Spain and China. Eric J. Huang's co-authors include Louis F. Reichardt, Peter Besmer, Jochen Buck, William W. Seeley, David H. Rowitch, José Manuel García‐Verdugo, Arturo Álvarez-Buylla, Jiasheng Zhang, Katia Manova and Philip Leder and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Eric J. Huang

170 papers receiving 20.6k citations

Hit Papers

Neurotrophins: Roles in Neuronal Development and Function 1990 2026 2002 2014 2001 2003 1990 2018 2010 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Huang United States 67 8.5k 6.2k 3.9k 3.1k 2.9k 173 20.9k
Giovanni Coppola United States 71 7.9k 0.9× 6.2k 1.0× 2.4k 0.6× 3.4k 1.1× 2.7k 0.9× 274 18.7k
Kunlin Jin United States 70 7.5k 0.9× 5.2k 0.8× 5.6k 1.4× 2.7k 0.9× 1.9k 0.6× 226 19.1k
James E. Goldman United States 71 7.6k 0.9× 3.6k 0.6× 4.2k 1.1× 2.1k 0.7× 1.7k 0.6× 221 16.5k
Mathias Bähr Germany 76 9.2k 1.1× 5.9k 0.9× 2.6k 0.7× 1.7k 0.6× 2.5k 0.9× 356 17.3k
Frank R. Sharp United States 87 12.3k 1.4× 7.3k 1.2× 2.8k 0.7× 3.9k 1.3× 4.1k 1.4× 376 27.7k
Steven A. Goldman United States 81 11.3k 1.3× 11.3k 1.8× 9.3k 2.4× 2.7k 0.9× 2.9k 1.0× 207 27.9k
Nancy Y. Ip Hong Kong 77 11.0k 1.3× 10.9k 1.8× 5.2k 1.3× 2.8k 0.9× 1.1k 0.4× 314 23.8k
Heidi Phillips United States 60 11.1k 1.3× 8.0k 1.3× 3.8k 1.0× 2.0k 0.6× 2.4k 0.8× 140 23.3k
Clive N. Svendsen United States 74 10.5k 1.2× 7.3k 1.2× 5.5k 1.4× 1.7k 0.6× 3.2k 1.1× 243 19.1k
Michael Sendtner Germany 75 10.0k 1.2× 8.2k 1.3× 4.8k 1.2× 1.3k 0.4× 2.6k 0.9× 225 20.1k

Countries citing papers authored by Eric J. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric J. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Huang. A scholar is included among the top collaborators of Eric J. Huang 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 J. Huang. Eric J. Huang 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.
Renz, Patricia, Valérie Haesler, Eric J. Huang, et al.. (2024). Neuroinflammatory reactive astrocyte formation correlates with adverse outcomes in perinatal white matter injury. Glia. 72(9). 1663–1673. 4 indexed citations
2.
Marsan, Elise, Dmitry Velmeshev, Marina Ramsey, et al.. (2023). Astroglial toxicity promotes synaptic degeneration in the thalamocortical circuit in frontotemporal dementia with GRN mutations. Journal of Clinical Investigation. 133(6). 25 indexed citations
4.
Spina, Salvatore, Renaud La Joie, Cathrine Petersen, et al.. (2021). Comorbid neuropathological diagnoses in early versus late-onset Alzheimer’s disease. Brain. 144(7). 2186–2198. 154 indexed citations breakdown →
5.
Shi, Xiaoyu, Qi Li, Zhipeng Dai, et al.. (2021). Label-retention expansion microscopy. The Journal of Cell Biology. 220(9). 49 indexed citations
6.
Li, Huihui, Amandine Berthet, Danielle M. Jorgens, et al.. (2021). Longitudinal tracking of neuronal mitochondria delineates PINK1/Parkin-dependent mechanisms of mitochondrial recycling and degradation. Science Advances. 7(32). 18 indexed citations
7.
Huang, Eric J., et al.. (2019). Novel and lethal case of cardiac involvement in DNM1L mitochondrial encephalopathy. American Journal of Medical Genetics Part A. 179(12). 2486–2489. 20 indexed citations
8.
Arnold, Thomas D., Carlos O. Lizama, Kelly M. Cautivo, et al.. (2019). Impaired αVβ8 and TGFβ signaling lead to microglial dysmaturation and neuromotor dysfunction. The Journal of Experimental Medicine. 216(4). 900–915. 42 indexed citations
9.
Zhang, Jiasheng, et al.. (2019). Loss of HIPK2 Protects Neurons from Mitochondrial Toxins by Regulating Parkin Protein Turnover. Journal of Neuroscience. 40(3). 557–568. 6 indexed citations
10.
Nguyen, Andrew D., Anh Thi Nguyen, Raj Singh, et al.. (2018). Progranulin in the hematopoietic compartment protects mice from atherosclerosis. Atherosclerosis. 277. 145–154. 13 indexed citations
11.
Lombardi, Laura M., Yehezkel Sztainberg, Steven Andrew Baker, et al.. (2017). An RNA interference screen identifies druggable regulators of MeCP2 stability. Science Translational Medicine. 9(404). 29 indexed citations
12.
Ma, Qian, Huan Hu, Eric J. Huang, & Zhaowei Liu. (2017). Super-resolution imaging by metamaterial-based compressive spatial-to-spectral transformation. Nanoscale. 9(46). 18268–18274. 25 indexed citations
13.
Kim, Jae‐Ick, Sarah Luo, Yu‐Wei Wu, et al.. (2015). Aldehyde dehydrogenase 1a1 mediates a GABA synthesis pathway in midbrain dopaminergic neurons. Science. 350(6256). 102–106. 155 indexed citations
14.
Nobuta, Hiroko, Maria Roberta Cilio, Olivier Danhaive, et al.. (2015). Dysregulation of locus coeruleus development in congenital central hypoventilation syndrome. Acta Neuropathologica. 130(2). 171–183. 37 indexed citations
15.
Tate, Matthew C., Robert A. Lindquist, Nader Sanai, et al.. (2014). Postnatal growth of the human pons: A morphometric and immunohistochemical analysis. The Journal of Comparative Neurology. 523(3). 449–462. 28 indexed citations
16.
Hsieh, Christine L., Eréne C. Niemi, Chih Cheng Lee, et al.. (2014). CCR2 Deficiency Impairs Macrophage Infiltration and Improves Cognitive Function after Traumatic Brain Injury. Journal of Neurotrauma. 31(20). 1677–1688. 138 indexed citations
17.
Luo, Sarah, et al.. (2013). Temporal and spatial requirements of Smoothened in ventral midbrain neuronal development. Neural Development. 8(1). 68–69. 19 indexed citations
18.
Stephan, Alexander, Daniel V. Madison, José Marı́a Mateos, et al.. (2013). A Dramatic Increase of C1q Protein in the CNS during Normal Aging. Journal of Neuroscience. 33(33). 13460–13474. 329 indexed citations
19.
Luo, Shuo, Saobo Lei, Yasunori Miyamoto, et al.. (2010). Interactions of Wnt/ -Catenin Signaling and Sonic Hedgehog Regulate the Neurogenesis of Ventral Midbrain Dopamine Neurons. Journal of Neuroscience. 30(27). 9280–9291. 94 indexed citations
20.

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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