Ling Yan
Impact in
- Geriatrics and Gerontology top 10%
- Frailty in Older Adults
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- Cancer, Lipids, and Metabolism
Papers in
- Oncology 9
- Inflammatory Biomarkers in Disease Prognosis 4
- Colorectal Cancer Treatments and Studies 1
-
- Cancer, Lipids, and Metabolism 5
- Cancer-related molecular mechanisms research 3
- Co-authors
- Hailun Xie (11 shared papers)Jialiang Gan (10 shared papers)Guo‐Tian Ruan (10 shared papers)Yizhen Gong (8 shared papers)Feng Gao (8 shared papers)Xinghua Liu (1 shared paper)Lin Ye (1 shared paper)Elena G. Seviour (1 shared paper)
- Journals
- Journal of Cancer (2 papers)PeerJ (2 papers)Journal of Cellular Biochemistry (1 paper)Scientific Reports (1 paper)Cancer Research and Treatment (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ling Yan
17 papers receiving 351 citations
Peers
Comparison fields: 5 of 54
- Geriatrics and Gerontology 41
- Cancer Research 87
- Oncology 125
- Physiology 93
- Pharmacology 56
Countries citing papers authored by Ling Yan
This map shows the geographic impact of Ling Yan'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 Ling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yan more than expected).
Fields of papers citing papers by Ling Yan
This network shows the impact of papers produced by Ling Yan. 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 Ling Yan. The network helps show where Ling Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yan, 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 | 2011 | 101 | |
| 2 | 2020 | 49 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 24 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2010 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 1 | |
| 18 | 2016 | 0 |
About Ling Yan
Ling Yan is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 353 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Frailty in Older Adults (2 papers), Nutrition and Health in Aging (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Geriatrics and Gerontology (41 citations), Cancer Research (87 citations), Oncology (125 citations), Physiology (93 citations) and Pharmacology (56 citations). Ling Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hailun Xie, Jialiang Gan, Guo‐Tian Ruan, Yizhen Gong, Feng Gao, Xinghua Liu, Lin Ye, Elena G. Seviour, Bo Zhang and Shuangyi Tang. Their work appears in journals such as Journal of Cancer, PeerJ, Journal of Cellular Biochemistry, Scientific Reports and Cancer Research and Treatment.
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.