Chao‐Neng Tseng

838 citations
29 papers · 682 · h-index 15

Impact in

Papers in

Chao‐Neng Tseng

29 papers receiving 671 citations

Peers

Chao‐Neng Tseng
Comparison fields: 5 of 89
  • Toxicology 49
  • Drug Discovery 2
  • Aquatic Science 78
  • Complementary and alternative medicine 47
  • Applied Microbiology and Biotechnology 11
Replace Akhilesh Singh with:
Akhilesh Singh India
Khadija Essafi‐Benkhadir Tunisia
Shan Kuang China
Lanhong Zheng China
Kyu‐Shik Lee South Korea
Ching‐Yu Yen Taiwan
Miao Yu China
Catarina Teixeira-Guedes Portugal
Eun‐Sun Choi South Korea
Ya-Ting Chuang Taiwan
Chao‐Neng Tseng relative to Akhilesh Singh India Akhilesh Singh's profile →
Citations per field
00.5×1.5×2.3×
Akhilesh Singh · 1×
Citations per year

Countries citing papers authored by Chao‐Neng Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Neng Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Neng Tseng. 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 Chao‐Neng Tseng. The network helps show where Chao‐Neng Tseng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201290
2 201284
3 201258
4 201354
5 200641
6 201440
7 200534
8 201231
9 201330
10 201527
11 201224
12 201422
13 200320
14 201519
15 201214
16 201214
17 201711
18 201210
19 201310
20 200910

About Chao‐Neng Tseng

Chao‐Neng Tseng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Oncology and Cell Biology, having authored 29 papers that have together received 682 indexed citations. Recurring topics across this work include RNA regulation and disease (3 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (2 papers), Sesquiterpenes and Asteraceae Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer Cells and Metastasis (2 papers), RNA Research and Splicing (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Toxicology (49 citations), Drug Discovery (2 citations), Aquatic Science (78 citations), Complementary and alternative medicine (47 citations) and Applied Microbiology and Biotechnology (11 citations). Chao‐Neng Tseng has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Hsueh‐Wei Chang, Hurng‐Wern Huang, Jing-Iong Yang, Fang‐Rong Chang, Jen‐Yang Tang, Chung-Lung Cho, Jin‐Ching Lee, Sher Singh, Yi‐Ren Hong and Yi Fang. Their work appears in journals such as Molecules, Theriogenology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Biological Chemistry and BMC Complementary and Alternative Medicine.

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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