Can Zhang

9.0k citations
160 papers · 5.9k indexed · 3 hit papers · h-index 34
Topics
Alzheimer's disease research and treatments (59 papers)Cholinesterase and Neurodegenerative Diseases (18 papers)Neuroinflammation and Neurodegeneration Mechanisms (13 papers)

In The Last Decade

Can Zhang

150 papers receiving 5.8k citations

Hit Papers

A three-dimensional human neural cell culture model of Al...2014202620182022201420182016250500750

Peers

Can Zhang
Comparison fields: 5 of 166
  • Molecular Biology 2.4k
  • Physiology 2.4k
  • Neurology 952
  • Biological Psychiatry 754
  • Cellular and Molecular Neuroscience 726
Replace Yan‐Jiang Wang with:
Yan‐Jiang Wang China
Jun Tan United States
Coral Sanfeliu Spain
Teng Jiang China
Ricardo B. Maccioni Chile
Pietro Giusti Italy
Ana I. Rojo Spain
Meng‐Shan Tan China
Xia Liu China
Anumantha G. Kanthasamy United States
Can Zhang relative to Yan‐Jiang Wang China Yan‐Jiang Wang's profile →
Citations per field
00.5×1.5×
Yan‐Jiang Wang · 1×
Citations per year

Countries citing papers authored by Can Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Can Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Can Zhang. A scholar is included among the top collaborators of Can Zhang 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 Can Zhang. Can Zhang 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 5
2 0
3 1
4 0
5 2
6 12
7 19
8 16
9 21
10 3
11 7
12 2
13 51
14 29
15 62
16 12
17 19
18 57
19 26
20 31

About Can Zhang

Can Zhang is a scholar working on Biological Psychiatry, Physiology and General Decision Sciences, having authored 160 papers that have together received 5.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (59 papers), Cholinesterase and Neurodegenerative Diseases (18 papers) and Neuroinflammation and Neurodegeneration Mechanisms (13 papers). The work is most often cited by research in Biological Psychiatry (754 citations), Neurology (952 citations) and Developmental Neuroscience (434 citations). Can Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Rudolph E. Tanzi, Se Hoon Choi, Lan Tan, Sangram S. Sisodia, Doo Yeon Kim, Pingyu Wang, Shuyang Xie, Jin‐Tai Yu, Xiaoqiong Zhang and Gao Zong-hua. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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