Ching-Hao Li

1.3k citations
36 papers · 1.1k · h-index 20

Impact in

Papers in

Ching-Hao Li

35 papers receiving 1.1k citations

Peers

Ching-Hao Li
Comparison fields: 5 of 124
  • Health, Toxicology and Mutagenesis 171
  • Cancer Research 143
  • Developmental Neuroscience 29
  • Toxicology 24
  • Molecular Biology 469
Replace Manuela Polimeni with:
Manuela Polimeni Italy
Xihong Liu China
Farah Khan India
Toru Tanaka Japan
Bryce Wei Quan Tan Singapore
Aaron K. Holley United States
Anand Krishnan V. Iyer United States
Filipe V. Duarte Portugal
Aleksandra Wojtala Poland
Ching-Hao Li relative to Manuela Polimeni Italy Manuela Polimeni's profile →
Citations per field
00.5×3.2×
Manuela Polimeni · 1×
Citations per year

Countries citing papers authored by Ching-Hao Li

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Hao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Hao Li. 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 Ching-Hao Li. The network helps show where Ching-Hao Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011213
2 201573
3 201065
4 201465
5 201749
6 200548
7 201748
8 201742
9 200634
10 201634
11 201133
12 201433
13 201631
14 201229
15 201326
16 201023
17 202121
18 201821
19 201821
20 201520

About Ching-Hao Li

Ching-Hao Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Ophthalmology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Autophagy in Disease and Therapy (4 papers), NF-κB Signaling Pathways (3 papers), Cell death mechanisms and regulation (3 papers), Retinal Diseases and Treatments (3 papers), Barrier Structure and Function Studies (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (171 citations), Cancer Research (143 citations), Developmental Neuroscience (29 citations), Toxicology (24 citations) and Molecular Biology (469 citations). Ching-Hao Li has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Jaw‐Jou Kang, Yu‐Wen Cheng, Po-Lin Liao, Shih-Hsuan Huang, Chi-Hao Tsai, Chen-Chen Lee, Jiunn‐Wang Liao, Chung‐Che Wu, Chuan‐Chou Shen and Yu‐Wen Cheng. Their work appears in journals such as Toxicological Sciences, Anticancer Research, Scientific Reports, International Journal of Molecular Sciences and Particle and Fibre Toxicology.

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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