Jianhua Cang

4.8k citations
68 papers · 3.3k indexed · h-index 34
Topics
Retinal Development and Disorders (33 papers)Neuroscience and Neuropharmacology Research (29 papers)Visual perception and processing mechanisms (24 papers)

In The Last Decade

Jianhua Cang

66 papers receiving 3.3k citations

Peers

Jianhua Cang
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 2.1k
  • Cognitive Neuroscience 1.6k
  • Molecular Biology 1.4k
  • Sensory Systems 459
  • Developmental Neuroscience 253
Replace Cristopher M. Niell with:
Cristopher M. Niell United States
Siegrid Löwel Germany
Shaowen Bao United States
Sebastiaan K. E. Koekkoek Netherlands
Kerry D. Walton United States
Aleksandra Badura Netherlands
Sascha du United States
Jaime F. Olavarría United States
James A. Bourne Australia
George D. Mower United States
Jianhua Cang relative to Cristopher M. Niell United States Cristopher M. Niell's profile →
Citations per field
00.5×1.5×
Cristopher M. Niell · 1×
Citations per year

Countries citing papers authored by Jianhua Cang

Since Specialization
Citations

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

Fields of papers citing papers by Jianhua Cang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhua Cang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhua Cang. A scholar is included among the top collaborators of Jianhua Cang 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 Jianhua Cang. Jianhua Cang 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 3
2 2
3 8
4 1
5 5
6 8
7 4
8 3
9 7
10 25
11 115
12 155
13 10
14 108
15 19
16 172
17 53
18 33
19 58
20 46

About Jianhua Cang

Jianhua Cang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 68 papers that have together received 3.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (33 papers), Neuroscience and Neuropharmacology Research (29 papers) and Visual perception and processing mechanisms (24 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Sensory Systems (459 citations) and Cognitive Neuroscience (1.6k citations). Jianhua Cang has collaborated with scholars based in United States, Bulgaria and China. Frequent co-authors include Xiaorong Liu, David A. Feldheim, Michael P. Stryker, Rashmi Sarnaik, Jeffry S. Isaacson, Bor‐Shuen Wang, Mingna Liu, Hui Chen, Lupeng Wang and Xinyu Zhao. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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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