Nai-Wen Chang

4.9k citations
25 papers · 831 indexed · h-index 16

Nai-Wen Chang

25 papers receiving 809 citations

Peers

Nai-Wen Chang
Comparison fields: 5 of 113
  • Otorhinolaryngology 64
  • Cancer Research 170
  • Periodontics 52
  • Toxicology 35
  • Biochemistry 36
Replace Debra L. Bemis with:
Debra L. Bemis United States
Yu‐Sheng Lo Taiwan
Yi‐Ching Chuang Taiwan
Hsien‐Chun Tseng Taiwan
Jarosław Paluszczak Poland
Syed Sultan Beevi India
Sarmistha Banerjee United States
Bano Shabnam India
Desanka Výbohová Slovakia
Oana Zănoagă Romania
Nai-Wen Chang relative to Debra L. Bemis United States Debra L. Bemis's profile →
Citations per field
00.5×2.9×
Debra L. Bemis · 1×
Citations per year

Countries citing papers authored by Nai-Wen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Nai-Wen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai-Wen Chang. 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 Nai-Wen Chang. The network helps show where Nai-Wen Chang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201920
2 201718
3 201416
4 201430
5 20134
6 201328
7 201263
8 201212
9 20112
10 20112
11 201032
12
Synergistic cytotoxic effects of arsenic trioxide plus dithiothreitol on mice oral cancer cells.
20106
13 2009132
14 200964
15 200813
16
Coumarin induces cell cycle arrest and apoptosis in human cervical cancer HeLa cells through a mitochondria- and caspase-3 dependent mechanism and NF-kappaB down-regulation.
200856
17 2006110
18 200649
19 200530
20 200371

About Nai-Wen Chang

Nai-Wen Chang is a scholar working on Toxicology, Cancer Research and Applied Microbiology and Biotechnology, having authored 25 papers that have together received 831 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Estrogen and related hormone effects (3 papers), Glycosylation and Glycoproteins Research (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Epigenetics and DNA Methylation (2 papers), BIM and Construction Integration (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Otorhinolaryngology (64 citations), Cancer Research (170 citations) and Periodontics (52 citations). Nai-Wen Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Min–Yuan Cheng, Jing‐Gung Chung, Ming-Hsui Tsai, Dar‐Ren Chen, Kate Ching‐Ju Lin, Jung-Chou Chen, You-Cheng Hseu, Ssu‐Ching Chen, Hsin-Ling Yang and Wan-Yu Lo. Their work appears in journals such as PLoS ONE, Cancer Research and Frontiers in Microbiology.

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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