Dake Huang

67 papers receiving 1.6k citations

Peers

Dake Huang
Comparison fields: 5 of 120
  • Biological Psychiatry 85
  • Neurology 162
  • Behavioral Neuroscience 67
  • Parasitology 122
  • Endocrine and Autonomic Systems 100
Replace Jing Wu with:
Jing Wu China
Yanxia Tian China
Changmeng Cui China
Vassiliki Nikoletopoulou Greece
Denis Arsenijevic Switzerland
Yan Burelle Canada
Satoru Kobayashi Japan
Daniel P. Poole Australia
Roman Fischer Germany
María García‐Fernández Spain
Dake Huang relative to Jing Wu China Jing Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dake Huang

Since Specialization
Citations

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

Fields of papers citing papers by Dake Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dake 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 Dake Huang Line = papers co-authored together Dake Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201566
2 201266
3 202065
4 201356
5 201452
6 202052
7 201348
8 202048
9 202148
10 201748
11
Expression of cell proliferation and apoptosis biomarkers in pterygia and normal conjunctiva.
201148
12 201747
13 201747
14 201746
15 201845
16 201742
17 201541
18 201737
19 201935
20 201731

About Dake Huang

Dake Huang is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Neurology, Parasitology and Sensory Systems, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (8 papers), Inflammasome and immune disorders (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Parasites and Host Interactions (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Stress Responses and Cortisol (4 papers), Traditional Chinese Medicine Analysis (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Neurology (162 citations), Behavioral Neuroscience (67 citations), Parasitology (122 citations) and Endocrine and Autonomic Systems (100 citations). Dake Huang has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Weizu Li, Yanyan Yin, Cuiping Ren, Jijia Shen, Joel C. Geerling, Fillan S. Grady, Lila Peltekian, Xin Hou, Liuyi Dong and Miao Liu. Their work appears in journals such as The Journal of Comparative Neurology, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, PLoS ONE, Cellular Physiology and Biochemistry and International Immunopharmacology.

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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