Danjun Guo

1.3k citations
48 papers · 986 · h-index 20

Impact in

  • Rheumatology top 10%
    • Bone and Dental Protein Studies
    • Protein Hydrolysis and Bioactive Peptides
    • Bone Metabolism and Diseases
    • dental development and anomalies

Papers in

    • Protein Hydrolysis and Bioactive Peptides 15
    • Bone Metabolism and Diseases 4
    • dental development and anomalies 4
    • Meat and Animal Product Quality 8
    • Animal Nutrition and Physiology 6

Danjun Guo

45 papers receiving 969 citations

Peers

Danjun Guo
Comparison fields: 5 of 92
  • Rheumatology 126
  • Molecular Biology 593
  • Nutrition and Dietetics 123
  • Food Science 146
  • Orthopedics and Sports Medicine 59
Replace Hongtao Tian with:
Hongtao Tian China
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Yasutaka Shigemura Japan
Takuo Nakano Canada
Antonietta Stellavato Italy
Michael Schunck Germany
Valentina Mariani Italy
Cristina Teixeira Sweden
Zhigang Wu China
Zhengrong Gao China
Danjun Guo relative to Hongtao Tian China Hongtao Tian's profile →
Citations per field
00.5×1.6×
Hongtao Tian · 1×
Citations per year

Countries citing papers authored by Danjun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Danjun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danjun Guo. 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 Danjun Guo. The network helps show where Danjun Guo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004172
2 201959
3 201054
4 201954
5 201942
6 201840
7 202039
8 201837
9 202136
10 200834
11 201732
12 202030
13 202130
14 202028
15 201827
16 201725
17 200124
18 200220
19 202120
20 201819

About Danjun Guo

Danjun Guo is a scholar working on Molecular Biology, Animal Science and Zoology, Plant Science, Food Science and Physiology, having authored 48 papers that have together received 986 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (15 papers), Meat and Animal Product Quality (8 papers), Proteins in Food Systems (7 papers), Biochemical effects in animals (6 papers), Animal Nutrition and Physiology (6 papers), Bone and Dental Protein Studies (4 papers), Bone Metabolism and Diseases (4 papers) and dental development and anomalies (4 papers). The work is most often cited by research in Rheumatology (126 citations), Molecular Biology (593 citations), Nutrition and Dietetics (123 citations), Food Science (146 citations) and Orthopedics and Sports Medicine (59 citations). Danjun Guo has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Hui He, Tao Hou, Mengge Zhao, Stephen E. Harris, Wen Shi, Marie A. Harris, David W. Rowe, Ivo Kalajzić, Xi Jiang and Mark S. Kronenberg. Their work appears in journals such as Journal of Food Science, Food Research International, LWT, Foods and Journal of Functional Foods.

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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