Dao-Qi Zhang

936 citations
49 papers · 688 indexed · h-index 15

Dao-Qi Zhang

45 papers receiving 681 citations

Peers

Dao-Qi Zhang
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 143
  • Cellular and Molecular Neuroscience 281
  • Molecular Biology 408
  • Ophthalmology 48
  • Sensory Systems 21
Replace David Dubayle with:
David Dubayle France
Mike S. Hsu United States
Kazumi Sakai Japan
Arnold I. Goldman United States
Jason E. Coleman United States
Ji Hoon Ahn South Korea
Christine A. Livingston United States
Stephanie S. Erlich United States
Akifumi Enomoto Japan
Joshua B. Silverman United States
Dao-Qi Zhang relative to David Dubayle France David Dubayle's profile →
Citations per field
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David Dubayle · 1×
Citations per year

Countries citing papers authored by Dao-Qi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dao-Qi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dao-Qi Zhang. 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 Dao-Qi Zhang. The network helps show where Dao-Qi Zhang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20246
5 20235
6 20237
7 20236
8 20226
9 202111
10 20184
11 20176
12
Pre- and post-synaptic mechanisms of signal transmission from ganglion cell photoreceptors to dopaminergic amacrine neurons
20151
13 201318
14 200520
15 200460
16 200110
17 19991
18 199910
19 19989
20 199715

About Dao-Qi Zhang

Dao-Qi Zhang is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology, having authored 49 papers that have together received 688 indexed citations. Recurring topics across this work include Retinal Development and Disorders (19 papers), Photoreceptor and optogenetics research (15 papers), Neuroscience and Neuropharmacology Research (15 papers), Microstructure and mechanical properties (7 papers), Aluminum Alloys Composites Properties (7 papers), Aluminum Alloy Microstructure Properties (4 papers), Circadian rhythm and melatonin (4 papers) and Connexins and lens biology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (143 citations), Cellular and Molecular Neuroscience (281 citations) and Molecular Biology (408 citations). Dao-Qi Zhang has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Douglas G. McMahon, Tongrong Zhou, Jinxin Zheng, Engang Wang, Ziyi Sun, Hidenobu Ohta, Xiong‐Li Yang, Jie Feng, Kwoon Y. Wong and Xiwu Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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