Xiaoting Lv
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- Circular RNAs in diseases 4
- Inflammasome and immune disorders 3
-
- Cancer-related molecular mechanisms research 15
- Co-authors
- Baosen Zhou (16 shared papers)Zhihua Yin (16 shared papers)Qicai Liu (14 shared papers)Zhigang Cui (14 shared papers)Junquan Liu (3 shared papers)Zhong-Hai Zhou (4 shared papers)Shengli Wang (11 shared papers)Min Gao (11 shared papers)
- Journals
- International Immunopharmacology (4 papers)DNA and Cell Biology (3 papers)Respiratory Physiology & Neurobiology (2 papers)Cancer Management and Research (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xiaoting Lv
52 papers receiving 793 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 258
- Toxicology 39
- Molecular Biology 429
- Internal Medicine 12
- Immunology 60
Countries citing papers authored by Xiaoting Lv
This map shows the geographic impact of Xiaoting 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 Xiaoting Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Lv more than expected).
Fields of papers citing papers by Xiaoting Lv
This network shows the impact of papers produced by Xiaoting 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 Xiaoting Lv. The network helps show where Xiaoting Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 79 | |
| 2 | 2022 | 59 | |
| 3 | 2018 | 46 | |
| 4 | 2019 | 39 | |
| 5 | 2021 | 33 | |
| 6 | 2015 | 33 | |
| 7 | 2018 | 29 | |
| 8 | 2018 | 29 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2020 | 27 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 21 | |
| 14 | 2025 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2022 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 16 |
About Xiaoting Lv
Xiaoting Lv is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Immunology, having authored 53 papers that have together received 800 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Circular RNAs in diseases (4 papers), Inflammasome and immune disorders (3 papers), COVID-19 Clinical Research Studies (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Cancer Research (258 citations), Toxicology (39 citations), Molecular Biology (429 citations), Internal Medicine (12 citations) and Immunology (60 citations). Xiaoting Lv has collaborated with scholars based in China, United States and India. Frequent co-authors include Baosen Zhou, Zhihua Yin, Qicai Liu, Zhigang Cui, Junquan Liu, Zhong-Hai Zhou, Shengli Wang, Min Gao, Sheng Zhang and Ziwei Zhang. Their work appears in journals such as International Immunopharmacology, DNA and Cell Biology, Respiratory Physiology & Neurobiology, Cancer Management and Research and Cancer Cell 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.