Xiaoying Lan
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 6
- Cell death mechanisms and regulation 2
-
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Hongbiao Huang (14 shared papers)Jinbao Liu (14 shared papers)Xianping Shi (15 shared papers)Xuejun Wang (13 shared papers)Xin Chen (14 shared papers)Chong Zhao (13 shared papers)Ningning Liu (10 shared papers)Q. Ping Dou (8 shared papers)
- Journals
- Oncotarget (3 papers)Cell Death and Disease (3 papers)Scientific Reports (3 papers)Biochemical Pharmacology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoying Lan
18 papers receiving 702 citations
Peers
Comparison fields: 5 of 69
- Hematology 92
- Oncology 205
- Molecular Biology 423
- Cancer Research 63
- Cell Biology 59
Countries citing papers authored by Xiaoying Lan
This map shows the geographic impact of Xiaoying Lan'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 Xiaoying Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Lan more than expected).
Fields of papers citing papers by Xiaoying Lan
This network shows the impact of papers produced by Xiaoying Lan. 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 Xiaoying Lan. The network helps show where Xiaoying Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Lan, 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 | 2013 | 115 | |
| 2 | 2014 | 71 | |
| 3 | 2014 | 70 | |
| 4 | 2017 | 67 | |
| 5 | 2015 | 59 | |
| 6 | 2016 | 52 | |
| 7 | 2014 | 39 | |
| 8 | 2016 | 36 | |
| 9 | 2019 | 35 | |
| 10 | 2017 | 31 | |
| 11 | 2017 | 31 | |
| 12 | 2016 | 26 | |
| 13 | 2015 | 23 | |
| 14 | 2016 | 21 | |
| 15 | 2017 | 19 | |
| 16 | 2020 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Xiaoying Lan
Xiaoying Lan is a scholar working on Molecular Biology, Hematology, Oncology, Cell Biology and Plant Science, having authored 20 papers that have together received 708 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Peptidase Inhibition and Analysis (3 papers), Cell death mechanisms and regulation (2 papers), Natural Compound Pharmacology Studies (2 papers), Autophagy in Disease and Therapy (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Hematology (92 citations), Oncology (205 citations), Molecular Biology (423 citations), Cancer Research (63 citations) and Cell Biology (59 citations). Xiaoying Lan has collaborated with scholars based in China and United States. Frequent co-authors include Hongbiao Huang, Jinbao Liu, Xianping Shi, Xuejun Wang, Xin Chen, Chong Zhao, Ningning Liu, Q. Ping Dou, Shouting Liu and Dan Zang. Their work appears in journals such as Oncotarget, Cell Death and Disease, Scientific Reports, Biochemical Pharmacology and Clinical Cancer Research.
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.