Jing Lin
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Bone Metabolism and Diseases 4
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- Potassium and Related Disorders 3
- Ferroptosis and cancer prognosis 3
- Co-authors
- Ling Wang (14 shared papers)Da‐Jin Li (8 shared papers)Lu Lu (9 shared papers)Jinhong Chen (9 shared papers)Na Zhang (6 shared papers)Weiqing Shao (10 shared papers)Zhifei Lin (5 shared papers)Jing Zhou (2 shared papers)
- Journals
- BioScience Trends (9 papers)PLoS ONE (3 papers)Medicine (3 papers)Journal of Stroke and Cerebrovascular Diseases (3 papers)Blood Purification (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Jing Lin
70 papers receiving 1.3k citations
Jing Lin's Hit Papers
Peers
Comparison fields: 5 of 106
- Nephrology 130
- Hepatology 136
- Cancer Research 126
- Immunology 165
- Geriatrics and Gerontology 24
Countries citing papers authored by Jing Lin
This map shows the geographic impact of Jing Lin'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 Jing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Lin more than expected).
Fields of papers citing papers by Jing Lin
This network shows the impact of papers produced by Jing Lin. 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 Jing Lin. The network helps show where Jing Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Lin, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lenvatinib Targets FGF Receptor 4 to Enhance Antitumor Immune Response of Anti–Programmed Cell Death‐1 in HCC Hit paper breakdown → | 2021 | 225 |
| 2 | 2010 | 97 | |
| 3 | 2018 | 94 | |
| 4 | 2020 | 79 | |
| 5 | 2017 | 73 | |
| 6 | 2018 | 58 | |
| 7 | 2013 | 58 | |
| 8 | 2022 | 55 | |
| 9 | 2020 | 46 | |
| 10 | 2010 | 40 | |
| 11 | 2017 | 36 | |
| 12 | 2019 | 35 | |
| 13 | 2018 | 25 | |
| 14 | 2017 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2024 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2016 | 19 | |
| 19 | 2016 | 15 | |
| 20 | 2017 | 15 |
About Jing Lin
Jing Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Epidemiology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Bone Metabolism and Diseases (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Cervical Cancer and HPV Research (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Potassium and Related Disorders (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Nephrology (130 citations), Hepatology (136 citations), Cancer Research (126 citations), Immunology (165 citations) and Geriatrics and Gerontology (24 citations). Jing Lin has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Ling Wang, Da‐Jin Li, Lu Lu, Jinhong Chen, Na Zhang, Weiqing Shao, Zhifei Lin, Jing Zhou, Jubo Zhang and Chenhe Yi. Their work appears in journals such as BioScience Trends, PLoS ONE, Medicine, Journal of Stroke and Cerebrovascular Diseases and Blood Purification.
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.