Xiaolan Yu
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Natural product bioactivities and synthesis 6
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- Flavonoids in Medical Research 7
- Co-authors
- Jiyi Xia (13 shared papers)Li Tang (10 shared papers)Yingcheng Yang (3 shared papers)Gang Li (1 shared paper)Tao He (1 shared paper)Yong Cao (6 shared papers)Xiuli Wu (3 shared papers)Shaobo Xiao (2 shared papers)
- Journals
- Fudan Journal of the Humanities and Social Sciences (3 papers)European Journal of Pharmacology (2 papers)Journal of Chinese Governance (2 papers)Biomedicine & Pharmacotherapy (2 papers)Food Research International (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaolan Yu
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Physiology 91
- Cancer Research 199
- Animal Science and Zoology 71
- Developmental Neuroscience 25
- Genetics 64
Countries citing papers authored by Xiaolan Yu
This map shows the geographic impact of Xiaolan Yu'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 Xiaolan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Yu more than expected).
Fields of papers citing papers by Xiaolan Yu
This network shows the impact of papers produced by Xiaolan Yu. 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 Xiaolan Yu. The network helps show where Xiaolan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Yu, 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 | 2015 | 98 | |
| 2 | 2012 | 88 | |
| 3 | 2006 | 69 | |
| 4 | 2017 | 61 | |
| 5 | 2018 | 61 | |
| 6 | 2016 | 56 | |
| 7 | 2016 | 50 | |
| 8 | 2012 | 44 | |
| 9 | 2018 | 43 | |
| 10 | 2016 | 39 | |
| 11 | 2016 | 39 | |
| 12 | 2021 | 38 | |
| 13 | 2018 | 36 | |
| 14 | 2023 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2016 | 27 | |
| 17 | 2021 | 25 | |
| 18 | 2020 | 23 | |
| 19 | [Cesarean scar pregnancy: an analysis of 100 cases]. | 2011 | 20 |
| 20 | 2020 | 20 |
About Xiaolan Yu
Xiaolan Yu is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Cancer Research and Oncology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Flavonoids in Medical Research (7 papers), Natural product bioactivities and synthesis (6 papers), Cancer-related molecular mechanisms research (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Physiology (91 citations), Cancer Research (199 citations), Animal Science and Zoology (71 citations), Developmental Neuroscience (25 citations) and Genetics (64 citations). Xiaolan Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiyi Xia, Li Tang, Yingcheng Yang, Gang Li, Tao He, Yong Cao, Xiuli Wu, Shaobo Xiao, Liurong Fang and Yunbo Jiang. Their work appears in journals such as Fudan Journal of the Humanities and Social Sciences, European Journal of Pharmacology, Journal of Chinese Governance, Biomedicine & Pharmacotherapy and Food Research International.
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.