Yongjun Guo
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
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- Epigenetics and DNA Methylation 8
- Polyamine Metabolism and Applications 8
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- Marine Bivalve and Aquaculture Studies 23
- Co-authors
- Thomas G. O’Brien (8 shared papers)Yongren Li (25 shared papers)Zhi Hu (13 shared papers)Shi Pu (16 shared papers)Mei‐Jie Yang (17 shared papers)David W. Boorman (3 shared papers)Jingfeng Sun (8 shared papers)Jie Feng (10 shared papers)
- Journals
- Frontiers in Marine Science (7 papers)Aquaculture (6 papers)Frontiers in Oncology (4 papers)Marine Environmental Research (4 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yongjun Guo
123 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Aquatic Science 183
- Biochemistry 149
- Cancer Research 221
- Immunology 300
- Geriatrics and Gerontology 44
Countries citing papers authored by Yongjun Guo
This map shows the geographic impact of Yongjun 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 Yongjun Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongjun Guo more than expected).
Fields of papers citing papers by Yongjun Guo
This network shows the impact of papers produced by Yongjun 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 Yongjun Guo. The network helps show where Yongjun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yongjun 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 147 | |
| 2 | 2018 | 82 | |
| 3 | 2018 | 60 | |
| 4 | 2010 | 57 | |
| 5 | 2021 | 55 | |
| 6 | 2008 | 49 | |
| 7 | 2019 | 48 | |
| 8 | 2021 | 46 | |
| 9 | 2002 | 45 | |
| 10 | 2022 | 41 | |
| 11 | Functional analysis of human ornithine decarboxylase alleles. | 2000 | 40 |
| 12 | 2021 | 39 | |
| 13 | 2005 | 37 | |
| 14 | 2020 | 34 | |
| 15 | 2015 | 34 | |
| 16 | 2022 | 33 | |
| 17 | 2021 | 32 | |
| 18 | 2021 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2021 | 28 |
About Yongjun Guo
Yongjun Guo is a scholar working on Molecular Biology, Global and Planetary Change, Aquatic Science, Pulmonary and Respiratory Medicine and Immunology, having authored 133 papers that have together received 1.8k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (23 papers), Aquaculture Nutrition and Growth (19 papers), Lung Cancer Treatments and Mutations (15 papers), Aquaculture disease management and microbiota (12 papers), Physiological and biochemical adaptations (11 papers), Epigenetics and DNA Methylation (8 papers), Ocean Acidification Effects and Responses (8 papers) and Polyamine Metabolism and Applications (8 papers). The work is most often cited by research in Aquatic Science (183 citations), Biochemistry (149 citations), Cancer Research (221 citations), Immunology (300 citations) and Geriatrics and Gerontology (44 citations). Yongjun Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Thomas G. O’Brien, Yongren Li, Zhi Hu, Shi Pu, Mei‐Jie Yang, David W. Boorman, Jingfeng Sun, Jie Feng, Jie Ma and Zhao Dongbin. Their work appears in journals such as Frontiers in Marine Science, Aquaculture, Frontiers in Oncology, Marine Environmental Research and PLoS ONE.
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.