Hao Jin
Impact in
- Hepatology top 5%
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
- Surgery 24
- Organ Transplantation Techniques and Outcomes 5
- Thyroid and Parathyroid Surgery 4
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- Fibroblast Growth Factor Research 5
- Co-authors
- Min Cui (19 shared papers)Olaf Dirsch (16 shared papers)Uta Dahmen (16 shared papers)Ligong Lu (9 shared papers)Huichun Liu (15 shared papers)Qing Pang (16 shared papers)Haoshu Fang (6 shared papers)Anding Liu (5 shared papers)
- Journals
- Biomedicines (4 papers)Medicine (3 papers)OncoTargets and Therapy (2 papers)Oncotarget (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- ChinaGermanySouth Korea
In The Last Decade
Hao Jin
88 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Hepatology 119
- Clinical Biochemistry 61
- Cancer Research 127
- Endocrinology, Diabetes and Metabolism 130
- Surgery 300
Countries citing papers authored by Hao Jin
This map shows the geographic impact of Hao Jin'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 Hao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Jin more than expected).
Fields of papers citing papers by Hao Jin
This network shows the impact of papers produced by Hao Jin. 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 Hao Jin. The network helps show where Hao Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Jin, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | 2012 | 44 | |
| 3 | 2020 | 43 | |
| 4 | 2017 | 41 | |
| 5 | 2011 | 41 | |
| 6 | 2017 | 39 | |
| 7 | 2017 | 37 | |
| 8 | 2018 | 34 | |
| 9 | 2010 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2017 | 30 | |
| 12 | 2011 | 29 | |
| 13 | 2017 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2015 | 27 | |
| 16 | 2007 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2014 | 24 | |
| 19 | 2018 | 24 | |
| 20 | 2020 | 23 |
About Hao Jin
Hao Jin is a scholar working on Surgery, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Oncology, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Gallbladder and Bile Duct Disorders (6 papers), Fibroblast Growth Factor Research (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Liver physiology and pathology (4 papers) and Thyroid and Parathyroid Surgery (4 papers). The work is most often cited by research in Hepatology (119 citations), Clinical Biochemistry (61 citations), Cancer Research (127 citations), Endocrinology, Diabetes and Metabolism (130 citations) and Surgery (300 citations). Hao Jin has collaborated with scholars based in China, Germany and South Korea. Frequent co-authors include Min Cui, Olaf Dirsch, Uta Dahmen, Ligong Lu, Huichun Liu, Qing Pang, Haoshu Fang, Anding Liu, Sung Hee Lee and Hai Huang. Their work appears in journals such as Biomedicines, Medicine, OncoTargets and Therapy, Oncotarget and European Journal of 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.