Chi‐Wei Tao

654 citations
38 papers · 491 · h-index 13

Impact in

Papers in

Chi‐Wei Tao

35 papers receiving 485 citations

Peers

Chi‐Wei Tao
Comparison fields: 5 of 91
  • Endocrinology 81
  • Molecular Medicine 67
  • Toxicology 28
  • Pollution 83
  • Pulmonary and Respiratory Medicine 125
Replace Mahendra K. Gupta with:
Mahendra K. Gupta India
Ramin Najafi Iran
Laura Rushton United Kingdom
Bejan Mahmud United States
Shoji Takenaka Japan
Frank-Albert Pitten Germany
Eduardo H. Morales Chile
Antonella Mansi Italy
Gavin J. Humphreys United Kingdom
Manuela Arbune Romania
Chi‐Wei Tao relative to Mahendra K. Gupta India Mahendra K. Gupta's profile →
Citations per field
00.5×7.8×
Mahendra K. Gupta · 1×
Citations per year

Countries citing papers authored by Chi‐Wei Tao

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Wei Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chi‐Wei Tao, 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 Chi‐Wei Tao Line = papers co-authored together Chi‐Wei Tao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201336
3 200624
4 202023
5 199220
6 201319
7 201819
8 201519
9 200619
10 200216
11 200215
12 201515
13 201415
14 201712
15 201512
16 201512
17 200611
18 201511
19 202110
20 200110

About Chi‐Wei Tao

Chi‐Wei Tao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Endocrinology, Infectious Diseases and Toxicology, having authored 38 papers that have together received 491 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Bacterial biofilms and quorum sensing (6 papers), Legionella and Acanthamoeba research (5 papers), Bioactive Compounds and Antitumor Agents (5 papers), Synthesis and biological activity (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Endocrinology (81 citations), Molecular Medicine (67 citations), Toxicology (28 citations), Pollution (83 citations) and Pulmonary and Respiratory Medicine (125 citations). Chi‐Wei Tao has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Bing‐Mu Hsu, Po-Min Kao, Tsui-Kang Hsu, Wen‐Tsai Ji, Shu‐Min Shen, Yuli Huang, Jung‐Sheng Chen, Hsu‐Shan Huang, Terng‐Jou Wan and Hui‐Fen Chiu. Their work appears in journals such as International Journal of COPD, Chemical and Pharmaceutical Bulletin, Environmental Science and Pollution Research, Ecotoxicology and Environmental Safety and CHEST Journal.

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