Tang Han-jun

521 citations
14 papers · 413 · h-index 9

Impact in

    • Food composition and properties
    • Microbial Metabolites in Food Biotechnology
    • Seed and Plant Biochemistry
    • Polysaccharides Composition and Applications
    • Proteins in Food Systems

Papers in

    • Food composition and properties 7
    • Microbial Metabolites in Food Biotechnology 4
    • Seed and Plant Biochemistry 3
    • Polysaccharides Composition and Applications 2

Tang Han-jun

14 papers receiving 397 citations

Peers

Tang Han-jun
Comparison fields: 5 of 71
  • Nutrition and Dietetics 255
  • Food Science 264
  • Plant Science 83
  • Ecology 54
  • Biochemistry 12
Replace Juan Mario Sanz‐Penella with:
Juan Mario Sanz‐Penella Spain
Delilah W. Irving United States
Himani Sharma India
Lan Shi China
Zhongqing Jiang Finland
Ahmad Alhariri United States
L.V. Glitsø United Kingdom
Kiyokazu Ikeda Japan
Zhang Xiu China
Tang Han-jun relative to Juan Mario Sanz‐Penella Spain Juan Mario Sanz‐Penella's profile →
Citations per field
00.5×3.4×
Juan Mario Sanz‐Penella · 1×
Citations per year

Countries citing papers authored by Tang Han-jun

Since Specialization
Citations

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

Fields of papers citing papers by Tang Han-jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tang Han-jun. 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 Tang Han-jun. The network helps show where Tang Han-jun may publish in the future.

Co-authors

The 16 scholars most cited alongside Tang Han-jun, 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 Tang Han-jun Line = papers co-authored together Tang Han-jun links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2002146
2 2002103
3 201145
4 200425
5 200718
6 201618
7 200215
8 201113
9 201612
10 20047
11
Some properties of starch granules in various plants
19987
12 20082
13 20221
14 20051

About Tang Han-jun

Tang Han-jun is a scholar working on Nutrition and Dietetics, Food Science, Pathology and Forensic Medicine, Molecular Biology and Oncology, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Food composition and properties (7 papers), Microbial Metabolites in Food Biotechnology (4 papers), Phytoestrogen effects and research (4 papers), Seed and Plant Biochemistry (3 papers), Polysaccharides Composition and Applications (2 papers), Bone Metabolism and Diseases (2 papers), Lung Cancer Diagnosis and Treatment (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Nutrition and Dietetics (255 citations), Food Science (264 citations), Plant Science (83 citations), Ecology (54 citations) and Biochemistry (12 citations). Tang Han-jun has collaborated with scholars based in Japan, China and Netherlands. Frequent co-authors include Toshio Mitsunaga, Katsumi Watanabe, Hitomi Ando, Yi‐Chun Chen, Mayumi Shimizu, Yukio Kawamura, Tatsuya Moriyama, Nobuhiro Zaima, Fengnian Yu and Feng Xu. Their work appears in journals such as Carbohydrate Polymers, Radiation Oncology, Cereal Chemistry, BioFactors 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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