Chang Guo
- Physiology top 2%
- Endocrine and Autonomic Systems top 10%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
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- MicroRNA in disease regulation 2
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- DNA Repair Mechanisms 6
- Epigenetics and DNA Methylation 3
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- Lipid metabolism and disorders 5
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- Cancer-related Molecular Pathways 4
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- Liver Disease Diagnosis and Treatment 4
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- Microtubule and mitosis dynamics 3
- Co-authors
- Marianela MasinRuth D. Murrell‐LagnadoOmar QureshiJames M. LarnerDavid L. BrautiganGuoyue YuanXia DengZhicong Zhao
- Journals
- Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chang Guo
31 papers receiving 613 citations
Peers
Comparison fields: 5 of 77
- Physiology 190
- Endocrine and Autonomic Systems 84
- Endocrinology, Diabetes and Metabolism 87
- Cancer Research 62
- Molecular Biology 283
Countries citing papers authored by Chang Guo
This map shows the geographic impact of Chang 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 Chang Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Guo more than expected).
Fields of papers citing papers by Chang Guo
This network shows the impact of papers produced by Chang 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 Chang Guo. The network helps show where Chang Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2015 | 34 | |
| 14 | EFFECT OF LIPID NUTRITION ON HEPATOSOMATIC INDEX AND BIOCHEMICAL COMPOSITION OF JUVENILE ERIOCHEIR SINENSIS | 2008 | 7 |
| 15 | 2007 | 200 | |
| 16 | 2005 | 18 | |
| 17 | 2002 | 44 | |
| 18 | 2002 | 39 | |
| 19 | 1999 | 29 | |
| 20 | 1997 | 4 |
About Chang Guo
Chang Guo is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 624 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipid metabolism and disorders (5 papers), Cancer-related Molecular Pathways (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Microtubule and mitosis dynamics (3 papers), Epigenetics and DNA Methylation (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Physiology (190 citations), Endocrine and Autonomic Systems (84 citations) and Endocrinology, Diabetes and Metabolism (87 citations). Chang Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Marianela Masin, Ruth D. Murrell‐Lagnado, Omar Qureshi, James M. Larner, David L. Brautigan, Guoyue Yuan, Xia Deng, Zhicong Zhao, Chenxi Wang and Kunrong Cheng. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Molecular Pharmacology.
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.