Nai‐Fang Chi

1.6k total citations
73 papers, 1.1k citations indexed

About

Nai‐Fang Chi is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nai‐Fang Chi has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 23 papers in Neurology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nai‐Fang Chi's work include Acute Ischemic Stroke Management (31 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Venous Thromboembolism Diagnosis and Management (13 papers). Nai‐Fang Chi is often cited by papers focused on Acute Ischemic Stroke Management (31 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Venous Thromboembolism Diagnosis and Management (13 papers). Nai‐Fang Chi collaborates with scholars based in Taiwan, United States and Japan. Nai‐Fang Chi's co-authors include Chaur‐Jong Hu, Hung‐Yi Chiou, Li‐Nien Chien, Hsiao‐Lun Ku, Lung Chan, Dean Wu, Han‐Hwa Hu, Tsung-Jen Wang, Yuan‐Hung Wang and I‐Chan Lin and has published in prestigious journals such as PLoS ONE, Circulation Research and Neurology.

In The Last Decade

Nai‐Fang Chi

72 papers receiving 1.0k citations

Peers

Nai‐Fang Chi
Comparison fields: 5 of 97
  • Epidemiology 322
  • Neurology 279
  • Psychiatry and Mental health 184
  • Neurology 165
  • Molecular Biology 159
Replace Paola Caruso with:
Paola Caruso Italy
Aleksandra Klimkowicz‐Mrowiec Poland
Gerard Blasco Spain
Jiunn‐Tay Lee Taiwan
Marie‐Anne Mackowiak‐Cordoliani France
Kuo‐Lun Huang Taiwan
Peter Turčáni Slovakia
Toby Gropen United States
Hiroaki Oguro Japan
Didier De Surgeloose Belgium
Paola Caruso Italy View profile →
Citations per field, relative to Nai‐Fang Chi
Nai‐Fang Chi · 1×
Citations per year, relative to Nai‐Fang Chi
Nai‐Fang Chi · 1×

Countries citing papers authored by Nai‐Fang Chi

Since Specialization
Citations

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

Fields of papers citing papers by Nai‐Fang Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai‐Fang Chi. 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 Nai‐Fang Chi. The network helps show where Nai‐Fang Chi may publish in the future.

Co-authorship network of co-authors of Nai‐Fang Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Nai‐Fang Chi. A scholar is included among the top collaborators of Nai‐Fang Chi 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 Nai‐Fang Chi. Nai‐Fang Chi 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
# Work Indexed citations
1 2
2 2
3 2
4 2
5 4
6 13
7 1
8 28
9 3
10 28
11 18
12 2
13 26
14 16
15 24
16 6
17 8
18 1
19 3
20 4

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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