N.-S. Chu

2.1k citations
35 papers · 1.5k indexed · h-index 17

Impact in

Papers in

N.-S. Chu

34 papers receiving 1.5k citations

Peers

N.-S. Chu
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 555
  • Neurology 475
  • Nutrition and Dietetics 411
  • Cellular and Molecular Neuroscience 342
  • Neurology 142
Replace Karen J. Kluin with:
Karen J. Kluin United States
Warren Olanow United States
Mohit Bhatt India
Jessica Mandrioli Italy
Maria Morello Italy
Richard Imrich Slovakia
Margaret Jacobs United States
Ilaria Simonelli Italy
Chin-Song Lu Taiwan
Nobuyoshi Ishii Japan
N.-S. Chu relative to Karen J. Kluin United States Karen J. Kluin's profile →
Citations per field
00.5×1.5×
Karen J. Kluin · 1×
Citations per year

Countries citing papers authored by N.-S. Chu

Since Specialization
Citations

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

Fields of papers citing papers by N.-S. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.-S. Chu. 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 N.-S. Chu. The network helps show where N.-S. Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside N.-S. Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N.-S. Chu Line = papers co-authored together N.-S. Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994361
2 1989206
3 1993151
4 1998115
5 198996
6 199786
7 198965
8 197855
9 199354
10 199050
11 199838
12 200535
13 200633
14 199623
15
Wilson's disease: clinical analysis of 71 cases and comparison with previous Chinese series.
199222
16
Proton MR spectroscopy in patients with complex partial seizures: single-voxel spectroscopy versus chemical-shift imaging.
199920
17 199419
18 198513
19 199912
20 198512

About N.-S. Chu

N.-S. Chu is a scholar working on Neurology, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Surgery, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Trace Elements in Health (7 papers), Neurological disorders and treatments (5 papers), Metabolism and Genetic Disorders (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Epilepsy research and treatment (4 papers), Neurological and metabolic disorders (4 papers), Heavy Metal Exposure and Toxicity (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (555 citations), Neurology (475 citations), Nutrition and Dietetics (411 citations), Cellular and Molecular Neuroscience (342 citations) and Neurology (142 citations). N.-S. Chu has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Donald B. Calne, Warren Olanow, Chin‐Song Lu, Chien‐Chung Huang, D. B. Calne, Chin‐Chang Huang, Chin-Song Lu, Chung‐Huei Huang, Chen-Yü Sung and Chunyan Lu. Their work appears in journals such as Neurology, Acta Neurologica Scandinavica, Journal of Neurology Neurosurgery & Psychiatry, Radiotherapy and Oncology and Neuroradiology.

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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