Hao Huang

6.9k citations
170 papers · 3.4k indexed · h-index 32
Topics
Neurogenesis and neuroplasticity mechanisms (26 papers)Epigenetics and DNA Methylation (24 papers)Cancer Immunotherapy and Biomarkers (12 papers)

In The Last Decade

Hao Huang

157 papers receiving 3.3k citations

Peers

Hao Huang
Comparison fields: 5 of 147
  • Molecular Biology 1.4k
  • Cancer Research 459
  • Cellular and Molecular Neuroscience 439
  • Reproductive Medicine 375
  • Developmental Neuroscience 345
Replace Yuka Imamura Kawasawa with:
Yuka Imamura Kawasawa United States
Owen M. Rennert United States
Richard W. Furlanetto United States
Yoshihiro Morikawa Japan
Kotaro Suzuki Japan
Sang Hyuck Lee United States
Sulev Kõks Estonia
Soo‐Kyung Lee South Korea
Yijing Su United States
Paul Goldsmith United Kingdom
Hao Huang relative to Yuka Imamura Kawasawa United States Yuka Imamura Kawasawa's profile →
Citations per field
00.5×6.0×
Yuka Imamura Kawasawa · 1×
Citations per year

Countries citing papers authored by Hao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Huang. A scholar is included among the top collaborators of Hao 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 Hao Huang. Hao 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
#WorkIndexed citations
1 0
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5 31
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7 16
8 4
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10 12
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12 17
13 9
14 27
15
Evaluation of Elderly Gaming Devices Using OpenPose
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16 79
17 6
18 3
19 6
20
BUPT_WILDCAT at TREC 2011 Session Track.
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About Hao Huang

Hao Huang is a scholar working on Developmental Neuroscience, Reproductive Medicine and Cancer Research, having authored 170 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (26 papers), Epigenetics and DNA Methylation (24 papers) and Cancer Immunotherapy and Biomarkers (12 papers). The work is most often cited by research in Developmental Neuroscience (345 citations), Endocrine and Autonomic Systems (333 citations) and Reproductive Medicine (375 citations). Hao Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anthony N. van den Pol, Mengsheng Qiu, Heping Zhang, Angélique Bordey, Zunyi Zhang, Kang Zheng, P K Ghosh, Xiaofeng Zhao, Michael P. Diamond and Richard S. Legro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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