Pang‐Hsien Tu

6.2k citations
48 papers · 5.0k indexed · 2 hit papers · h-index 33
Topics
Amyotrophic Lateral Sclerosis Research (13 papers)Alzheimer's disease research and treatments (9 papers)Parkinson's Disease Mechanisms and Treatments (6 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Pang‐Hsien Tu

47 papers receiving 4.9k citations

Hit Papers

Aggregation of alpha-synuclein in Lewy bodies of sporadic...1998202620072016199819984008001.2k

Peers

Pang‐Hsien Tu
Comparison fields: 5 of 122
  • Neurology 3.1k
  • Molecular Biology 1.7k
  • Physiology 1.4k
  • Cellular and Molecular Neuroscience 1.3k
  • Neurology 847
Replace Karin M. Danzer with:
Karin M. Danzer Germany
Koichi Okamoto Japan
Jennifer Bruce United States
Amalia Dutra United States
Janice Robertson Canada
Paul Lingor Germany
Michela Morbin Italy
Olga Rodriguez United States
Thomas R. Caulfield United States
Manabu Doyu Japan
Pang‐Hsien Tu relative to Karin M. Danzer Germany Karin M. Danzer's profile →
Citations per field
00.5×1.5×
Karin M. Danzer · 1×
Citations per year

Countries citing papers authored by Pang‐Hsien Tu

Since Specialization
Citations

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

Fields of papers citing papers by Pang‐Hsien Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pang‐Hsien Tu. 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 Pang‐Hsien Tu. The network helps show where Pang‐Hsien Tu may publish in the future.

Co-authorship network of co-authors of Pang‐Hsien Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Pang‐Hsien Tu. A scholar is included among the top collaborators of Pang‐Hsien Tu 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 Pang‐Hsien Tu. Pang‐Hsien Tu 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 52
2 136
3 87
4 175
5 37
6 42
7 45
8 13
9 94
10 39
11 20
12 59
13 44
14 120
15 13
16 21
17 173
18 19
19 27
20
Glial cytoplasmic inclusions in white matter oligodendrocytes of multiple system atrophy brains contain insoluble α‐synucleinbreakdown →
558

About Pang‐Hsien Tu

Pang‐Hsien Tu is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 5.0k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), Alzheimer's disease research and treatments (9 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Neurology (3.1k citations), Neurology (847 citations) and Cellular and Molecular Neuroscience (1.3k citations). Pang‐Hsien Tu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include John Q. Trojanowski, Takeshi Iwatsubo, Shigeo Nakajo, Kazuyasu Nakaya, Masaya Baba, Tatsuo Tomita, Virginia M.‐Y. Lee, Yijuang Chern, Taisuke Tomita and Susan Leight. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters 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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