Haochen Guan
Impact in
-
- Artificial Intelligence in Healthcare
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
Papers in
- Nephrology 14
- Gout, Hyperuricemia, Uric Acid 9
- Chronic Kidney Disease and Diabetes 3
- Dialysis and Renal Disease Management 2
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- Inflammasome and immune disorders 3
- Co-authors
- Jing Xiao (8 shared papers)Zhibin Ye (8 shared papers)Sibo Zhu (2 shared papers)Gang Tang (3 shared papers)Nan Zhu (4 shared papers)Yi Du (2 shared papers)Ruifeng Ding (1 shared paper)Tao Sun (1 shared paper)
- Journals
- BMC Nephrology (2 papers)Endocrine Research (1 paper)International Journal of Medical Sciences (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- China
In The Last Decade
Haochen Guan
20 papers receiving 458 citations
Peers
Comparison fields: 5 of 89
- Health Information Management 97
- Nephrology 111
- Health Informatics 15
- Physiology 87
- Molecular Biology 160
Countries citing papers authored by Haochen Guan
This map shows the geographic impact of Haochen Guan'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 Haochen Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Guan more than expected).
Fields of papers citing papers by Haochen Guan
This network shows the impact of papers produced by Haochen Guan. 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 Haochen Guan. The network helps show where Haochen Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haochen Guan, 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 | 2019 | 168 | |
| 2 | 2021 | 148 | |
| 3 | 2019 | 33 | |
| 4 | 2020 | 18 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2020 | 2 |
About Haochen Guan
Haochen Guan is a scholar working on Nephrology, Molecular Biology, Pathology and Forensic Medicine, Physiology and Neurology, having authored 20 papers that have together received 467 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (9 papers), Chronic Kidney Disease and Diabetes (3 papers), Inflammasome and immune disorders (3 papers), Alcohol Consumption and Health Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Trigeminal Neuralgia and Treatments (2 papers), Dialysis and Renal Disease Management (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Health Information Management (97 citations), Nephrology (111 citations), Health Informatics (15 citations), Physiology (87 citations) and Molecular Biology (160 citations). Haochen Guan has collaborated with scholars based in China. Frequent co-authors include Jing Xiao, Zhibin Ye, Sibo Zhu, Gang Tang, Nan Zhu, Yi Du, Ruifeng Ding, Tao Sun, Xinhui Feng and Jieshuang Jia. Their work appears in journals such as BMC Nephrology, Endocrine Research, International Journal of Medical Sciences, Frontiers in Cell and Developmental Biology and Frontiers in Neuroscience.
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.