Yinglan Lv
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Adipose Tissue and Metabolism 4
- Diet and metabolism studies 1
-
- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Yongcheng An (9 shared papers)Baosheng Zhao (9 shared papers)Yuhui Duan (9 shared papers)Hongyu Dai (9 shared papers)Lu Shi (8 shared papers)Long Cheng (6 shared papers)Huimin Li (5 shared papers)Chen Wang (2 shared papers)
- Journals
- Chinese Medicine (2 papers)British Journal Of Nutrition (1 paper)Adipocyte (1 paper)Evidence-based Complementary and Alternative Medicine (1 paper)BMC Complementary Medicine and Therapies (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yinglan Lv
9 papers receiving 399 citations
Yinglan Lv's Hit Papers
Peers
Comparison fields: 5 of 66
- Physiology 223
- Geriatrics and Gerontology 20
- Rehabilitation 27
- Epidemiology 114
- Biochemistry 18
Countries citing papers authored by Yinglan Lv
This map shows the geographic impact of Yinglan Lv'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 Yinglan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinglan Lv more than expected).
Fields of papers citing papers by Yinglan Lv
This network shows the impact of papers produced by Yinglan Lv. 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 Yinglan Lv. The network helps show where Yinglan Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yinglan Lv, 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 | Brown and beige adipose tissue: a novel therapeutic strategy for obesity and type 2 diabetes mellitus Hit paper breakdown → | 2021 | 277 |
| 2 | 2022 | 32 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 6 |
About Yinglan Lv
Yinglan Lv is a scholar working on Physiology, Epidemiology, Molecular Biology, Geriatrics and Gerontology and Surgery, having authored 9 papers that have together received 402 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Gut microbiota and health (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Diet and metabolism studies (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper) and Bioactive natural compounds (1 paper). The work is most often cited by research in Physiology (223 citations), Geriatrics and Gerontology (20 citations), Rehabilitation (27 citations), Epidemiology (114 citations) and Biochemistry (18 citations). Yinglan Lv has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yongcheng An, Baosheng Zhao, Yuhui Duan, Hongyu Dai, Lu Shi, Long Cheng, Huimin Li, Chen Wang, Jingkang Wang and Yaqi Li. Their work appears in journals such as Chinese Medicine, British Journal Of Nutrition, Adipocyte, Evidence-based Complementary and Alternative Medicine and BMC Complementary Medicine and Therapies.
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.