Eric J. Huang

33.4k citations
173 papers · 20.9k indexed · 8 hit papers · h-index 67

Eric J. Huang

170 papers receiving 20.6k citations

Hit Papers

Comorbid n...154199020262002201410002.0k3.0k

Peers

Eric J. Huang
Comparison fields: 5 of 172
  • Developmental Neuroscience 3.9k
  • Cellular and Molecular Neuroscience 6.2k
  • Neurology 2.6k
  • Neurology 2.9k
  • Biological Psychiatry 383
Replace Jeffrey Milbrandt with:
Jeffrey Milbrandt United States
Luis F. Parada United States
Frank R. Sharp United States
Dwight E. Bergles United States
Lino Tessarollo United States
Kunlin Jin United States
David R. Kaplan Canada
Nathaniel Heintz United States
Gıancarlo Comı Italy
Casper C. Hoogenraad Netherlands
Eric J. Huang relative to Jeffrey Milbrandt United States Jeffrey Milbrandt's profile →
Citations per field
00.5×1.6×
Jeffrey Milbrandt · 1×
Citations per year

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

The 25 scholars most cited alongside Eric J. Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric J. Huang Line = papers co-authored together Eric J. Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 202325
4 20228
5
Comorbid neuropathological diagnoses in early versus late-onset Alzheimer’s diseasebreakdown →
2021154
6 202149
7 202118
8 201920
9 201942
10 20196
11 201813
12 201725
13 201729
14 2015155
15 201537
16 2014138
17 201319
18 2013329
19 201094
20 2001264

About Eric J. Huang

Eric J. Huang is a scholar working on Developmental Neuroscience, Neurology and Neurology, having authored 173 papers that have together received 20.9k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (30 papers), Alzheimer's disease research and treatments (27 papers), Neurogenesis and neuroplasticity mechanisms (27 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Parkinson's Disease Mechanisms and Treatments (18 papers), Dementia and Cognitive Impairment Research (11 papers), RNA Research and Splicing (11 papers) and Nerve injury and regeneration (10 papers). The work is most often cited by research in Developmental Neuroscience (3.9k citations), Cellular and Molecular Neuroscience (6.2k citations) and Neurology (2.6k citations). Eric J. Huang has collaborated with scholars based in United States, Spain and China. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, Development, Nature Neuroscience and Journal of Clinical Investigation.

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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