Wen‐Jin Su

4.7k citations
143 papers · 3.5k · h-index 37

Impact in

Papers in

Wen‐Jin Su

140 papers receiving 3.4k citations

Peers

Wen‐Jin Su
Comparison fields: 5 of 127
  • Immunology and Allergy 721
  • Aquatic Science 479
  • Animal Science and Zoology 423
  • Biotechnology 353
  • Pharmacology 603
Replace Jay J. Thelen with:
Jay J. Thelen United States
Rogerio R. Sotelo‐Mundo Mexico
Yong Wu China
James M. Cregg United States
Natasha V. Raikhel United States
Derek T. A. Lamport United States
Keisuke Sasaki Japan
Juan Leal Spain
Etsushiro Doi Japan
Tsunehiro Aki Japan
Wen‐Jin Su relative to Jay J. Thelen United States Jay J. Thelen's profile →
Citations per field
00.5×11.8×
Jay J. Thelen · 1×
Citations per year

Countries citing papers authored by Wen‐Jin Su

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Jin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Jin Su. 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 Wen‐Jin Su. The network helps show where Wen‐Jin Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001160
2 2000156
3 2017120
4 201089
5 200587
6 200083
7 201081
8 200980
9 201077
10 201471
11 200264
12 201464
13 201362
14 200860
15 200756
16 201753
17 200649
18 201548
19 201247
20 201347

About Wen‐Jin Su

Wen‐Jin Su is a scholar working on Molecular Biology, Immunology and Allergy, Pharmacology, Cancer Research and Aquatic Science, having authored 143 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (27 papers), Food Allergy and Anaphylaxis Research (24 papers), Microbial Natural Products and Biosynthesis (17 papers), Protease and Inhibitor Mechanisms (15 papers), Fungal Biology and Applications (15 papers), Meat and Animal Product Quality (13 papers), Allergic Rhinitis and Sensitization (13 papers) and Aquaculture Nutrition and Growth (12 papers). The work is most often cited by research in Immunology and Allergy (721 citations), Aquatic Science (479 citations), Animal Science and Zoology (423 citations), Biotechnology (353 citations) and Pharmacology (603 citations). Wen‐Jin Su has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Min‐Jie Cao, Guang‐Ming Liu, Qiu‐Feng Cai, Yaojian Huang, Wuyin Weng, Zhonghui Zheng, Jianfeng Wang, Guiling Li, Kenji Hara and Soheila J. Maleki. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture, Process Biochemistry and Journal of Food Biochemistry.

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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