Chien‐Tien Su

73 papers receiving 1.4k citations

Peers

Chien‐Tien Su
Comparison fields: 5 of 136
  • Environmental Chemistry 346
  • Health, Toxicology and Mutagenesis 372
  • Hepatology 79
  • Nutrition and Dietetics 153
  • Nephrology 38
Replace Rita Ouellet‐Hellstrom with:
Rita Ouellet‐Hellstrom United States
Chi‐Jung Chung Taiwan
Muhammad G. Kibriya United States
Ya-Li Huang Taiwan
Gregory M. Bogdan United States
Veronica Wendy Setiawan United States
Mingyan Zhao China
Virginia M. Weaver United States
Alakendu Ghosh India
Paul Mahieu Belgium
Chien‐Tien Su relative to Rita Ouellet‐Hellstrom United States Rita Ouellet‐Hellstrom's profile →
Citations per field
00.5×3.5×
Rita Ouellet‐Hellstrom · 1×
Citations per year

Countries citing papers authored by Chien‐Tien Su

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Tien Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Tien Su. 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 Chien‐Tien Su. The network helps show where Chien‐Tien Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200990
2 201985
3 200765
4 200856
5 201151
6 201947
7 201046
8 201245
9 202039
10 201336
11 201935
12 202133
13 201829
14 201429
15 201028
16 201128
17 201728
18 201727
19 201227
20 199826

About Chien‐Tien Su

Chien‐Tien Su is a scholar working on Environmental Chemistry, Molecular Biology, Health, Toxicology and Mutagenesis, Physiology and Nutrition and Dietetics, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (18 papers), Heavy Metal Exposure and Toxicity (7 papers), Glutathione Transferases and Polymorphisms (5 papers), Folate and B Vitamins Research (5 papers), Air Quality and Health Impacts (4 papers), Selenium in Biological Systems (4 papers), Dialysis and Renal Disease Management (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Environmental Chemistry (346 citations), Health, Toxicology and Mutagenesis (372 citations), Hepatology (79 citations), Nutrition and Dietetics (153 citations) and Nephrology (38 citations). Chien‐Tien Su has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Yu‐Mei Hsueh, Chi‐Jung Chung, Horng-Sheng Shiue, Yeong‐Shiau Pu, Yung‐Kai Huang, Chao‐Yuan Huang, Ying‐Chin Lin, Fu‐Hsiung Su, Chih‐Ching Yeh and Hung‐Yi Chiou. Their work appears in journals such as Toxicology and Applied Pharmacology, PLoS ONE, The Science of The Total Environment, BioMed Research International and Nutrients.

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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