Xiaojing Yan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Pharmacology top 10%
- Plant-based Medicinal Research
Papers in
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Cancer-related gene regulation 3
- Bioactive Natural Diterpenoids Research 3
- Epidemiology 11
- Autophagy in Disease and Therapy 8
- Co-authors
- Jiqin Lian (13 shared papers)Yaran Wu (10 shared papers)Fengtian He (9 shared papers)Xufang Dai (9 shared papers)Zhenhong Ni (5 shared papers)Na Li (3 shared papers)Jian‐Lin Wu (3 shared papers)Hua Zhou (2 shared papers)
- Journals
- Autophagy (2 papers)Genomics (2 papers)Analytical Chemistry (2 papers)Blood (2 papers)Cartilage (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaojing Yan
47 papers receiving 591 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 176
- Pharmacology 64
- Molecular Biology 371
- Geriatrics and Gerontology 16
- Epidemiology 134
Countries citing papers authored by Xiaojing Yan
This map shows the geographic impact of Xiaojing 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 Xiaojing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Yan more than expected).
Fields of papers citing papers by Xiaojing Yan
This network shows the impact of papers produced by Xiaojing 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 Xiaojing Yan. The network helps show where Xiaojing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing 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
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 61 | |
| 2 | 2017 | 44 | |
| 3 | 2019 | 42 | |
| 4 | 2016 | 39 | |
| 5 | 2017 | 38 | |
| 6 | 2018 | 31 | |
| 7 | 2023 | 30 | |
| 8 | 2022 | 30 | |
| 9 | 2021 | 30 | |
| 10 | 2017 | 24 | |
| 11 | 2017 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2019 | 9 |
About Xiaojing Yan
Xiaojing Yan is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Hematology and Cancer Research, having authored 56 papers that have together received 594 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Acute Myeloid Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers) and Bioactive Natural Diterpenoids Research (3 papers). The work is most often cited by research in Cancer Research (176 citations), Pharmacology (64 citations), Molecular Biology (371 citations), Geriatrics and Gerontology (16 citations) and Epidemiology (134 citations). Xiaojing Yan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jiqin Lian, Yaran Wu, Fengtian He, Xufang Dai, Zhenhong Ni, Na Li, Jian‐Lin Wu, Hua Zhou, Haojun Xiong and C. Hu. Their work appears in journals such as Autophagy, Genomics, Analytical Chemistry, Blood and Cartilage.
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.