Fen Chang

451 citations
18 papers · 341 · h-index 9

Impact in

    • Immune Response and Inflammation
    • Aquaculture disease management and microbiota
    • interferon and immune responses
    • Invertebrate Immune Response Mechanisms
    • Antimicrobial Peptides and Activities

Papers in

Fen Chang

16 papers receiving 340 citations

Peers

Fen Chang
Comparison fields: 5 of 75
  • Immunology 87
  • Microbiology 19
  • Geriatrics and Gerontology 10
  • Epidemiology 88
  • Cancer Research 36
Replace Jae-Ryong Kim with:
Jae-Ryong Kim South Korea
Juanfen Mo China
Telisha M. Swain United States
Benrong Liu China
Xiaoqin Wu China
Xiaofang Guo China
Garret Vincent United States
Sui‐Chu Yin Taiwan
Yi Yan China
Xing Wan China
Fen Chang relative to Jae-Ryong Kim South Korea Jae-Ryong Kim's profile →
Citations per field
00.5×2.9×
Jae-Ryong Kim · 1×
Citations per year

Countries citing papers authored by Fen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Fen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015142
2 201541
3 202132
4 201528
5 201517
6 201913
7 201812
8 201811
9 201611
10 20158
11 20167
12
Effects of amphotericin B with combination chemotherapy on response rates and on survival in non-small cell carcinoma of the lung.
19847
13 20165
14 20225
15 20221
16 20241
17 20250
18 20190

About Fen Chang

Fen Chang is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Immunology and Oncology, having authored 18 papers that have together received 341 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers), Immune Response and Inflammation (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Aquaculture disease management and microbiota (2 papers), Microtubule and mitosis dynamics (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (87 citations), Microbiology (19 citations), Geriatrics and Gerontology (10 citations), Epidemiology (88 citations) and Cancer Research (36 citations). Fen Chang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing Zhao, Jinlan Wang, Hui Fu, Shangli Zhang, Deling Yin, Jing Liu, Fang Li, Fang Li, Deling Yin and Zheng Zhang. Their work appears in journals such as APOPTOSIS, Fish & Shellfish Immunology, Biochemical and Biophysical Research Communications, Journal of Cellular Physiology and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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