Chien-Chen Wu

2.5k citations
46 papers · 1.9k indexed · h-index 24

Impact in

Papers in

Chien-Chen Wu

45 papers receiving 1.8k citations

Peers

Chien-Chen Wu
Comparison fields: 5 of 124
  • Biological Psychiatry 309
  • Molecular Medicine 527
  • Endocrinology 285
  • Structural Biology 55
  • Behavioral Neuroscience 111
Replace Henry L. Schreiber with:
Henry L. Schreiber United States
Karin de Punder Germany
Sandra Schwarz Germany
Brittany D. Needham United States
Janet Chow United States
Thomas A. Tompkins Canada
Christopher S. Reigstad Sweden
Andreas Munk Petersen Denmark
Renchi Fang China
Toby K. Eisenstein United States
Chien-Chen Wu relative to Henry L. Schreiber United States Henry L. Schreiber's profile →
Citations per field
00.5×10×20×27.5×
Henry L. Schreiber · 1×
Citations per year

Countries citing papers authored by Chien-Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Chen 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 Chien-Chen Wu. The network helps show where Chien-Chen Wu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202330
2 20237
3 202229
4 202119
5 202136
6 202136
7 201940
8 2019107
9 201829
10 2015223
11 2015215
12 201431
13 201356
14 201035
15 20095
16 200834
17 200883
18 200620
19 200623
20 199011

About Chien-Chen Wu

Chien-Chen Wu is a scholar working on Molecular Medicine, Biological Psychiatry, Endocrinology, Behavioral Neuroscience and Structural Biology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Probiotics and Fermented Foods (10 papers), Gut microbiota and health (9 papers), Bacterial biofilms and quorum sensing (7 papers), Bacterial Genetics and Biotechnology (7 papers), Tryptophan and brain disorders (5 papers), Vibrio bacteria research studies (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Biological Psychiatry (309 citations), Molecular Medicine (527 citations), Endocrinology (285 citations), Structural Biology (55 citations) and Behavioral Neuroscience (111 citations). Chien-Chen Wu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Ying-Chieh Tsai, Hwei‐Ling Peng, Sabrina Wang, Wei‐Hsien Liu, Ching‐Ting Lin, Yanshu Chen, Yi‐Ting Lai, Hairong Cheng, H. Y. Chang and Hsiao-Li Chuang. Their work appears in journals such as Microbiology, Frontiers in Microbiology, International Journal of Molecular Sciences, PLoS ONE and Evidence-based 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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