Shun‐Fen Tzeng

1.2k citations
31 papers · 1.0k indexed · h-index 17
Topics
Neuroinflammation and Neurodegeneration Mechanisms (10 papers)Neurogenesis and neuroplasticity mechanisms (7 papers)Nerve injury and regeneration (6 papers)

In The Last Decade

Shun‐Fen Tzeng

29 papers receiving 1.0k citations

Peers

Shun‐Fen Tzeng
Comparison fields: 5 of 95
  • Molecular Biology 340
  • Cellular and Molecular Neuroscience 269
  • Neurology 227
  • Developmental Neuroscience 177
  • Pathology and Forensic Medicine 153
Replace Linda MacArthur with:
Linda MacArthur United States
Itzik Cooper Israel
Toshihiko Ikeuchi Japan
Vega García‐Escudero Spain
Tsuneo Takadera Japan
Bin Yan China
Karin Werrbach‐Perez United States
Heidi Erb Canada
F. L. Van Muiswinkel Netherlands
Magdalena Zielińska Poland
Shun‐Fen Tzeng relative to Linda MacArthur United States Linda MacArthur's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shun‐Fen Tzeng

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Fen Tzeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Fen Tzeng. 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 Shun‐Fen Tzeng. The network helps show where Shun‐Fen Tzeng may publish in the future.

Co-authorship network of co-authors of Shun‐Fen Tzeng

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Fen Tzeng. A scholar is included among the top collaborators of Shun‐Fen Tzeng 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 Shun‐Fen Tzeng. Shun‐Fen Tzeng 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 0
3 37
4 5
5 15
6 24
7 35
8 63
9 116
10 67
11 63
12 48
13 109
14 24
15 16
16 85
17 21
18 69
19 54
20 10

About Shun‐Fen Tzeng

Shun‐Fen Tzeng is a scholar working on Developmental Neuroscience, Neurology and Biological Psychiatry, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Developmental Neuroscience (177 citations), Neurology (227 citations) and Biological Psychiatry (48 citations). Shun‐Fen Tzeng has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Chung‐Shi Yang, Jean de Vellis, Henrich Cheng, Shang‐Hsun Yang, Yu‐Peng Liu, Kuan‐Min Fang, Jon-Son Kuo, Chia‐Chun Wang, Stephanie M. Liva and Shiying Huang. Their work appears in journals such as International Journal of Molecular Sciences, Spine and British Journal of Pharmacology.

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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