Chon-Fu Lio

682 citations
18 papers · 466 · h-index 10

Impact in

Papers in

Chon-Fu Lio

18 papers receiving 458 citations

Peers

Chon-Fu Lio
Comparison fields: 5 of 97
  • Infectious Diseases 236
  • Modeling and Simulation 38
  • General Dentistry 10
  • Neurology 69
  • Psychiatry and Mental health 64
Replace Jonny Karunia Fajar with:
Jonny Karunia Fajar Indonesia
Maxwell A. Konnaris United States
Albert Prats‐Uribe United Kingdom
Christopher M. Orton United Kingdom
Sérgio Siqueira Brazil
Kathrine Agergård Kaspersen Denmark
Antonello Serra Italy
Katharine Harman United Kingdom
Steven Douedi United States
Sumita Agrawal India
Chon-Fu Lio relative to Jonny Karunia Fajar Indonesia Jonny Karunia Fajar's profile →
Citations per field
00.5×2.8×
Jonny Karunia Fajar · 1×
Citations per year

Countries citing papers authored by Chon-Fu Lio

Since Specialization
Citations

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

Fields of papers citing papers by Chon-Fu Lio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chon-Fu Lio. 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 Chon-Fu Lio. The network helps show where Chon-Fu Lio may publish in the future.

Co-authors

The 25 scholars most cited alongside Chon-Fu Lio, 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 Chon-Fu Lio Line = papers co-authored together Chon-Fu Lio links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020251
2 202143
3 201933
4 201730
5 201919
6 201917
7 201814
8 202111
9 202010
10 20229
11 20179
12 20209
13 20203
14 20182
15 20202
16 20202
17
[Permanent environmental disinfection techniques in hospital settings with infectious risk].
20221
18 20161

About Chon-Fu Lio

Chon-Fu Lio is a scholar working on Epidemiology, Psychiatry and Mental health, Infectious Diseases, Dermatology and General Health Professions, having authored 18 papers that have together received 466 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers), Dermatology and Skin Diseases (3 papers), Health, psychology, and well-being (3 papers), Burn Injury Management and Outcomes (3 papers), COVID-19 epidemiological studies (3 papers), COVID-19 Clinical Research Studies (2 papers), Injury Epidemiology and Prevention (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). The work is most often cited by research in Infectious Diseases (236 citations), Modeling and Simulation (38 citations), General Dentistry (10 citations), Neurology (69 citations) and Psychiatry and Mental health (64 citations). Chon-Fu Lio has collaborated with scholars based in Taiwan, United States and Macao. Frequent co-authors include Hou Hon Cheong, Iek Long Lo, Yakun Tian, Shin‐Yi Tsai, Tse-Yen Yang, Lan Yao, Weicheng Yao, Chi Chen, Leiyu Shi and Hsuan-Ju Chen. Their work appears in journals such as Journal of Translational Medicine, PeerJ, Scientific Reports, Medicine and Burns.

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.

Explore authors with similar magnitude of impact