Yuqian Yan
Impact in
- Cancer Research top 10%
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- RNA Research and Splicing
Papers in
-
- Ubiquitin and proteasome pathways 9
- Protein Degradation and Inhibitors 7
- DNA Repair Mechanisms 4
- Histone Deacetylase Inhibitors Research 4
- Cancer-related gene regulation 3
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- Prostate Cancer Treatment and Research 8
- Co-authors
- Haojie Huang (21 shared papers)Yunqian Pan (14 shared papers)Donglin Ding (8 shared papers)Xin Jin (5 shared papers)Liguo Wang (7 shared papers)Dejie Wang (9 shared papers)Tao Ma (5 shared papers)Rafael E. Jiménez (5 shared papers)
- Journals
- Cancer Research (5 papers)Molecular Cell (3 papers)Theranostics (3 papers)Advanced Science (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yuqian Yan
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 247
- Molecular Biology 954
- Oncology 346
- Hematology 110
- Pulmonary and Respiratory Medicine 289
Countries citing papers authored by Yuqian Yan
This map shows the geographic impact of Yuqian 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 Yuqian Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuqian Yan more than expected).
Fields of papers citing papers by Yuqian Yan
This network shows the impact of papers produced by Yuqian 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 Yuqian Yan. The network helps show where Yuqian Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuqian 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 199 | |
| 2 | 2018 | 126 | |
| 3 | 2021 | 93 | |
| 4 | 2010 | 83 | |
| 5 | 2011 | 82 | |
| 6 | 2017 | 80 | |
| 7 | 2019 | 68 | |
| 8 | 2019 | 68 | |
| 9 | 2021 | 56 | |
| 10 | 2018 | 55 | |
| 11 | 2014 | 50 | |
| 12 | 2017 | 49 | |
| 13 | 2021 | 33 | |
| 14 | 2014 | 33 | |
| 15 | 2020 | 33 | |
| 16 | 2021 | 27 | |
| 17 | 2021 | 27 | |
| 18 | 2023 | 24 | |
| 19 | 2021 | 21 | |
| 20 | 2021 | 19 |
About Yuqian Yan
Yuqian Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Hematology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Prostate Cancer Treatment and Research (8 papers), Protein Degradation and Inhibitors (7 papers), DNA Repair Mechanisms (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Genetic factors in colorectal cancer (4 papers), Biochemical and biochemical processes (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (247 citations), Molecular Biology (954 citations), Oncology (346 citations), Hematology (110 citations) and Pulmonary and Respiratory Medicine (289 citations). Yuqian Yan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Haojie Huang, Yunqian Pan, Donglin Ding, Xin Jin, Liguo Wang, Dejie Wang, Tao Ma, Rafael E. Jiménez, Heshui Wu and Yundong He. Their work appears in journals such as Cancer Research, Molecular Cell, Theranostics, Advanced Science and PLoS ONE.
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.