Zhiwen Yan

1.1k citations
36 papers · 778 indexed · h-index 15
Topics
Nerve injury and regeneration (14 papers)Graphene and Nanomaterials Applications (10 papers)Neuroscience and Neural Engineering (6 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
ChinaSingaporeGermany

In The Last Decade

Zhiwen Yan

33 papers receiving 767 citations

Peers

Zhiwen Yan
Comparison fields: 5 of 99
  • Biomedical Engineering 368
  • Cellular and Molecular Neuroscience 294
  • Biomaterials 177
  • Surgery 143
  • Materials Chemistry 92
Replace Wutian Wu with:
Wutian Wu Hong Kong
Masoumeh Firouzi Iran
Bo Shi China
Eva Schnell United Kingdom
Antonella Piscioneri Italy
Yi‐Chin Yang Taiwan
Nicholas J. Schaub United States
Jason S. Belkas Canada
Claudio Grandi Italy
Richard P. Tan Australia
Zhiwen Yan relative to Wutian Wu Hong Kong Wutian Wu's profile →
Citations per field
00.5×6.5×
Wutian Wu · 1×
Citations per year

Countries citing papers authored by Zhiwen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiwen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiwen Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwen Yan. A scholar is included among the top collaborators of Zhiwen Yan 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 Zhiwen Yan. Zhiwen Yan 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
2 5
3 4
4 15
5 9
6 8
7 28
8 13
9 10
10 4
11 13
12 26
13 13
14 47
15 22
16 9
17 21
18 12
19 14
20
Markets: Brazil, Western Europe, India
0

About Zhiwen Yan

Zhiwen Yan is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 778 indexed citations. Recurring topics across this work include Nerve injury and regeneration (14 papers), Graphene and Nanomaterials Applications (10 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (294 citations), Biomaterials (177 citations) and Developmental Neuroscience (47 citations). Zhiwen Yan has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Yun Qian, Cunyi Fan, Jianlin Shi, Han Lin, Gim Hee Lee, Weien Yuan, Xiangyun Yao, Yi Jin, Xuan Chen and Yang Xu. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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