Ying‐Jun Chen

1.6k citations
50 papers · 1.2k indexed · h-index 23

Ying‐Jun Chen

48 papers receiving 1.2k citations

Peers

Ying‐Jun Chen
Comparison fields: 5 of 118
  • Health, Toxicology and Mutagenesis 716
  • Reproductive Medicine 219
  • Ophthalmology 89
  • Nutrition and Dietetics 148
  • Pollution 79
Replace Sebastiano La Maestra with:
Sebastiano La Maestra Italy
Eleni Fthenou Greece
Alf Fischbein United States
Minjie Chen China
William C. Strohsnitter United States
Dries S. Martens Belgium
Su Young Kim South Korea
Ryszard Andrzejak Poland
Chunmei Liang China
Srinivas Teppala United States
Ying‐Jun Chen relative to Sebastiano La Maestra Italy Sebastiano La Maestra's profile →
Citations per field
00.5×4.6×
Sebastiano La Maestra · 1×
Citations per year

Countries citing papers authored by Ying‐Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Jun Chen. 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 Ying‐Jun Chen. The network helps show where Ying‐Jun Chen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20227
4 202117
5 202123
6 202037
7 201948
8 201932
9 2018120
10 201821
11 201830
12 201822
13 201828
14 201726
15 201746
16 201637
17
Metaphorical Color Representations of Emotional Concepts in English and Chinese Speakers.
20161
18 201656
19 201637
20 200339

About Ying‐Jun Chen

Ying‐Jun Chen is a scholar working on Health, Toxicology and Mutagenesis, Reproductive Medicine, Ophthalmology, Aging and Nutrition and Dietetics, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (12 papers), Toxic Organic Pollutants Impact (11 papers), Water Treatment and Disinfection (9 papers), Sperm and Testicular Function (8 papers), Corneal surgery and disorders (7 papers), Heavy Metal Exposure and Toxicity (7 papers), Chemical Analysis and Environmental Impact (5 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (716 citations), Reproductive Medicine (219 citations), Ophthalmology (89 citations), Nutrition and Dietetics (148 citations) and Pollution (79 citations). Ying‐Jun Chen has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Yixin Wang, Wen‐Qing Lu, Chong Liu, Qiang Zeng, Pan Yang, An Pan, Li Sun, Yang Sun, Carmen Messerlian and Xingtao Zhou. Their work appears in journals such as Environment International, Environmental Research, Environmental Pollution, Environmental Science & Technology and Scientific Reports.

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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