Longyan Yang
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Lipid metabolism and disorders 17
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- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Dong Zhao (19 shared papers)Ruili Yin (17 shared papers)Lijie Zhang (14 shared papers)Yongsong Xu (12 shared papers)Yuanyuan Zhang (10 shared papers)Junqi He (9 shared papers)Jing Ke (12 shared papers)Dong Zhao (13 shared papers)
- Journals
- Diabetology & Metabolic Syndrome (5 papers)Diabetes (4 papers)Frontiers in Endocrinology (3 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Amino Acids (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Longyan Yang
69 papers receiving 892 citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 180
- Cancer Research 115
- Cardiology and Cardiovascular Medicine 158
- Molecular Biology 304
- Oncology 99
Countries citing papers authored by Longyan Yang
This map shows the geographic impact of Longyan Yang'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 Longyan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longyan Yang more than expected).
Fields of papers citing papers by Longyan Yang
This network shows the impact of papers produced by Longyan Yang. 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 Longyan Yang. The network helps show where Longyan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longyan Yang, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 55 | |
| 2 | 2019 | 52 | |
| 3 | 2022 | 42 | |
| 4 | 2021 | 41 | |
| 5 | 2023 | 39 | |
| 6 | 2011 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2015 | 36 | |
| 10 | 2012 | 33 | |
| 11 | 2015 | 31 | |
| 12 | 2016 | 27 | |
| 13 | 2020 | 24 | |
| 14 | 2022 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2017 | 21 | |
| 18 | 2021 | 21 | |
| 19 | 2020 | 21 | |
| 20 | 2022 | 18 |
About Longyan Yang
Longyan Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 75 papers that have together received 898 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Carbon and Quantum Dots Applications (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (180 citations), Cancer Research (115 citations), Cardiology and Cardiovascular Medicine (158 citations), Molecular Biology (304 citations) and Oncology (99 citations). Longyan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dong Zhao, Ruili Yin, Lijie Zhang, Yongsong Xu, Yuanyuan Zhang, Junqi He, Jing Ke, Dong Zhao, Duiping Feng and Yan Ma. Their work appears in journals such as Diabetology & Metabolic Syndrome, Diabetes, Frontiers in Endocrinology, Diabetes Metabolic Syndrome and Obesity and Amino Acids.
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.