Xiaoxi Lv
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 3
- Epidemiology 16
- Autophagy in Disease and Therapy 14
- Co-authors
- Fang Hua (28 shared papers)Zhuowei Hu (26 shared papers)Bing Cui (25 shared papers)Jiaojiao Yu (21 shared papers)Xiaowei Zhang (24 shared papers)Shanshan Liu (13 shared papers)Ke Li (13 shared papers)Jinmei Yu (13 shared papers)
- Journals
- Acta Pharmaceutica Sinica B (9 papers)Advances in experimental medicine and biology (4 papers)Nature Communications (4 papers)Oncotarget (2 papers)Science Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaoxi Lv
43 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Cell Biology 281
- Cancer Research 239
- Immunology 246
- Molecular Biology 801
- Oncology 294
Countries citing papers authored by Xiaoxi Lv
This map shows the geographic impact of Xiaoxi Lv'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 Xiaoxi Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxi Lv more than expected).
Fields of papers citing papers by Xiaoxi Lv
This network shows the impact of papers produced by Xiaoxi Lv. 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 Xiaoxi Lv. The network helps show where Xiaoxi Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxi Lv, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 164 | |
| 2 | 2012 | 140 | |
| 3 | 2018 | 138 | |
| 4 | 2019 | 134 | |
| 5 | 2022 | 107 | |
| 6 | 2017 | 95 | |
| 7 | 2021 | 92 | |
| 8 | 2020 | 86 | |
| 9 | 2013 | 49 | |
| 10 | 2013 | 49 | |
| 11 | 2018 | 48 | |
| 12 | 2013 | 47 | |
| 13 | 2023 | 44 | |
| 14 | 2019 | 44 | |
| 15 | 2019 | 42 | |
| 16 | 2016 | 42 | |
| 17 | 2020 | 41 | |
| 18 | 2021 | 35 | |
| 19 | 2020 | 31 | |
| 20 | 2021 | 27 |
About Xiaoxi Lv
Xiaoxi Lv is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Immune Cell Function and Interaction (5 papers), Epigenetics and DNA Methylation (3 papers), Immune Response and Inflammation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Cell Biology (281 citations), Cancer Research (239 citations), Immunology (246 citations), Molecular Biology (801 citations) and Oncology (294 citations). Xiaoxi Lv has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Fang Hua, Zhuowei Hu, Bing Cui, Jiaojiao Yu, Xiaowei Zhang, Shanshan Liu, Ke Li, Jinmei Yu, Shuang Shang and Bo Huang. Their work appears in journals such as Acta Pharmaceutica Sinica B, Advances in experimental medicine and biology, Nature Communications, Oncotarget and Science Translational Medicine.
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.