Chang‐Jer Wu

4.4k citations
105 papers · 3.4k · h-index 32

Impact in

    • Seaweed-derived Bioactive Compounds
    • Echinoderm biology and ecology
    • Antimicrobial Peptides and Activities

Papers in

Chang‐Jer Wu

102 papers receiving 3.3k citations

Peers

Chang‐Jer Wu
Comparison fields: 5 of 144
  • Aquatic Science 490
  • Microbiology 378
  • Immunology 462
  • Biomaterials 287
  • Molecular Medicine 99
Replace Cristina Rodrı́guez-Padilla with:
Cristina Rodrı́guez-Padilla Mexico
Lizi Yin China
Neal L. Schiller United States
Yoshiyuki Adachi Japan
Hideki Nakashima Japan
Mukesh Pasupuleti India
Roberto Christ Vianna Santos Brazil
Haruko Ogawa Japan
Yanan Li China
Huaxi Yi China
Chang‐Jer Wu relative to Cristina Rodrı́guez-Padilla Mexico Cristina Rodrı́guez-Padilla's profile →
Citations per field
00.5×2.9×
Cristina Rodrı́guez-Padilla · 1×
Citations per year

Countries citing papers authored by Chang‐Jer Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Jer Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003233
2 2004201
3 2011171
4 2004134
5 2011126
6 2020122
7 201593
8 201484
9 201179
10 201376
11 201276
12 201171
13 201467
14 201064
15 201561
16 201660
17 201357
18 202254
19 201654
20 201452

About Chang‐Jer Wu

Chang‐Jer Wu is a scholar working on Molecular Biology, Immunology, Aquatic Science, Microbiology and Pharmacology, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (12 papers), Seaweed-derived Bioactive Compounds (9 papers), Aquaculture disease management and microbiota (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Enzyme Structure and Function (6 papers), Biochemical and Molecular Research (6 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Aquatic Science (490 citations), Microbiology (378 citations), Immunology (462 citations), Biomaterials (287 citations) and Molecular Medicine (99 citations). Chang‐Jer Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yi-Lin Chan, Tsung‐Lin Li, Jyh‐Yih Chen, Han-Ning Huang, Tz‐Chong Chou, Earl Fu, Jeng‐Hsien Yeh, Hang Wang, Hui-Wen Huang and Venugopal Rajanbabu. Their work appears in journals such as Biomaterials, Marine Drugs, Oncotarget, Journal of the American Chemical Society and Biochemical and Biophysical Research Communications.

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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