Danjun Guo
Impact in
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- Bone health and osteoporosis research
- Molecular Biology top 10%
- Protein Hydrolysis and Bioactive Peptides
- Bone Metabolism and Diseases
- dental development and anomalies
Papers in
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- Meat and Animal Product Quality 9
- Food Science 10
- Proteins in Food Systems 7
- Ziziphus Jujuba Studies and Applications 3
- Co-authors
- Tao Hou (14 shared papers)Hui He (14 shared papers)Mengge Zhao (6 shared papers)Stephen E. Harris (4 shared papers)Marie A. Harris (4 shared papers)Wen Shi (4 shared papers)Ivo Kalajzić (2 shared papers)David W. Rowe (2 shared papers)
- Journals
- LWT (5 papers)Journal of Food Science (4 papers)Journal of Functional Foods (3 papers)Food Research International (3 papers)Foods (3 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Danjun Guo
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Orthopedics and Sports Medicine 107
- Molecular Biology 622
- Food Science 138
- Nutrition and Dietetics 92
- Process Chemistry and Technology 12
Countries citing papers authored by Danjun Guo
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
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.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 191 | |
| 2 | 2019 | 65 | |
| 3 | 2013 | 61 | |
| 4 | 2010 | 57 | |
| 5 | 2019 | 56 | |
| 6 | 2019 | 47 | |
| 7 | 2020 | 45 | |
| 8 | 2018 | 43 | |
| 9 | 2021 | 43 | |
| 10 | 2018 | 38 | |
| 11 | 2008 | 35 | |
| 12 | 2017 | 34 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 31 | |
| 15 | 2021 | 31 | |
| 16 | 2018 | 29 | |
| 17 | 2001 | 26 | |
| 18 | 2017 | 26 | |
| 19 | 2021 | 23 | |
| 20 | 2002 | 22 |
About Danjun Guo
Danjun Guo is a scholar working on Animal Science and Zoology, Food Science, Molecular Biology, Orthopedics and Sports Medicine and Nutrition and Dietetics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (12 papers), Meat and Animal Product Quality (9 papers), Proteins in Food Systems (7 papers), Bone health and osteoporosis research (6 papers), Bone Metabolism and Diseases (5 papers), Postharvest Quality and Shelf Life Management (3 papers), Ziziphus Jujuba Studies and Applications (3 papers) and Plant Physiology and Cultivation Studies (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (107 citations), Molecular Biology (622 citations), Food Science (138 citations), Nutrition and Dietetics (92 citations) and Process Chemistry and Technology (12 citations). Danjun Guo has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Tao Hou, Hui He, Mengge Zhao, Stephen E. Harris, Marie A. Harris, Wen Shi, Ivo Kalajzić, David W. Rowe, Xi Jiang and Mark S. Kronenberg. Their work appears in journals such as LWT, Journal of Food Science, Journal of Functional Foods, Food Research International and 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.