Ming‐Ju Chen

4.2k citations
125 papers · 3.2k · h-index 34

Impact in

Papers in

Ming‐Ju Chen

118 papers receiving 3.1k citations

Peers

Ming‐Ju Chen
Comparison fields: 5 of 144
  • Food Science 1.8k
  • Nutrition and Dietetics 786
  • Animal Science and Zoology 309
  • Molecular Biology 1.6k
  • Biological Psychiatry 46
Replace Stefano Raimondi with:
Stefano Raimondi Italy
Graciela L. Garrote Argentina
Huiyuan Guo China
Analía G. Abraham Argentina
Hyunsook Kim South Korea
José E. Aguilar-Toalá Mexico
Junrui Wu China
Xiqing Yue China
Alberto Amaretti Italy
Pasi Kankaanpää Finland
Ming‐Ju Chen relative to Stefano Raimondi Italy Stefano Raimondi's profile →
Citations per field
00.5×1.5×
Stefano Raimondi · 1×
Citations per year

Countries citing papers authored by Ming‐Ju Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ju Chen. 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 Ming‐Ju Chen. The network helps show where Ming‐Ju Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005195
2 2008179
3 2005135
4 2017120
5 2006101
6 201198
7 201286
8 201285
9 200485
10 201081
11 200874
12 200869
13 201863
14 200757
15 200656
16 201955
17 201555
18 201554
19 200552
20 200949

About Ming‐Ju Chen

Ming‐Ju Chen is a scholar working on Molecular Biology, Food Science, Nutrition and Dietetics, Physiology and Materials Chemistry, having authored 125 papers that have together received 3.2k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (52 papers), Gut microbiota and health (29 papers), Protein Hydrolysis and Bioactive Peptides (21 papers), Microbial Metabolites in Food Biotechnology (14 papers), Diet and metabolism studies (8 papers), Food composition and properties (8 papers), Meat and Animal Product Quality (7 papers) and Atomic and Subatomic Physics Research (7 papers). The work is most often cited by research in Food Science (1.8k citations), Nutrition and Dietetics (786 citations), Animal Science and Zoology (309 citations), Molecular Biology (1.6k citations) and Biological Psychiatry (46 citations). Ming‐Ju Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chin‐Wen Lin, Je‐Ruei Liu, Sheng‐Yao Wang, Yen‐Po Chen, Hsi-Chia Chen, Kun-Nan Chen, Ming‐Lun Chiang, Kuanyi Li, Yung‐Tsung Chen and Yu‐Chun Lin. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of Dairy Science, Journal of Food Science, Food Microbiology and Journal of Agricultural and Food Chemistry.

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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