Lingyu Fu
Impact in
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Rheumatology 10
- Rheumatoid Arthritis Research and Therapies 10
- Systemic Lupus Erythematosus Research 5
- Oncology 9
- Colorectal Cancer Treatments and Studies 6
- Cancer Treatment and Pharmacology 3
- Co-authors
- Jingpu Shi (14 shared papers)Xiaomei Wu (9 shared papers)Bo Zhou (9 shared papers)Hailong Wang (4 shared papers)Jingyu Lu (4 shared papers)Yanyan Zhao (5 shared papers)Lei Jin (5 shared papers)Hailong Wang (5 shared papers)
- Journals
- PLoS ONE (5 papers)Clinical Rheumatology (3 papers)Oncotarget (2 papers)Journal of the American Academy of Dermatology (2 papers)Aging (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lingyu Fu
52 papers receiving 752 citations
Peers
Comparison fields: 5 of 95
- Rheumatology 137
- Biochemistry 55
- Hepatology 50
- Physiology 140
- Cancer Research 80
Countries citing papers authored by Lingyu Fu
This map shows the geographic impact of Lingyu Fu'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 Lingyu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyu Fu more than expected).
Fields of papers citing papers by Lingyu Fu
This network shows the impact of papers produced by Lingyu Fu. 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 Lingyu Fu. The network helps show where Lingyu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyu Fu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 68 | |
| 2 | 2013 | 58 | |
| 3 | 2008 | 53 | |
| 4 | 2006 | 53 | |
| 5 | 2016 | 46 | |
| 6 | 2021 | 44 | |
| 7 | 2014 | 44 | |
| 8 | 2016 | 35 | |
| 9 | 2020 | 33 | |
| 10 | 2009 | 26 | |
| 11 | 2016 | 23 | |
| 12 | 2014 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2014 | 21 | |
| 15 | 2013 | 16 | |
| 16 | 2023 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 13 | |
| 20 | [Correlation analysis and identification of G421C in regulatory region of CYP4F2 gene with essential hypertension]. | 2006 | 12 |
About Lingyu Fu
Lingyu Fu is a scholar working on Rheumatology, Oncology, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 765 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Colorectal Cancer Treatments and Studies (6 papers), Nutritional Studies and Diet (5 papers), Hepatitis C virus research (5 papers), Systemic Lupus Erythematosus Research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Treatment and Pharmacology (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Rheumatology (137 citations), Biochemistry (55 citations), Hepatology (50 citations), Physiology (140 citations) and Cancer Research (80 citations). Lingyu Fu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jingpu Shi, Xiaomei Wu, Bo Zhou, Hailong Wang, Jingyu Lu, Yanyan Zhao, Lei Jin, Hailong Wang, Jingdong Zhang and Tingting Wei. Their work appears in journals such as PLoS ONE, Clinical Rheumatology, Oncotarget, Journal of the American Academy of Dermatology and Aging.
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.