Ling Xi
Impact in
Papers in
-
- Ubiquitin and proteasome pathways 2
- Circular RNAs in diseases 2
- Ion channel regulation and function 2
- Inflammasome and immune disorders 2
-
- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 2
- Co-authors
- Ding Ma (9 shared papers)Jianfeng Zhou (7 shared papers)Kezhen Li (2 shared papers)Hui Shen (1 shared paper)Hui Wang (1 shared paper)Dan He (1 shared paper)Xiaoli Wang (1 shared paper)Wencheng Ding (2 shared papers)
- Journals
- Cancer Letters (1 paper)BioMed Research International (1 paper)Current Issues in Molecular Biology (1 paper)Gynecologic Oncology (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesTürkiye
In The Last Decade
Ling Xi
31 papers receiving 762 citations
Peers
Comparison fields: 5 of 84
- Business and International Management 17
- Cancer Research 97
- Molecular Biology 471
- Oncology 146
- Immunology 82
Countries citing papers authored by Ling Xi
This map shows the geographic impact of Ling Xi'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 Ling Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Xi more than expected).
Fields of papers citing papers by Ling Xi
This network shows the impact of papers produced by Ling Xi. 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 Ling Xi. The network helps show where Ling Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Xi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 167 | |
| 2 | 2018 | 92 | |
| 3 | 2016 | 59 | |
| 4 | 2008 | 43 | |
| 5 | 2017 | 43 | |
| 6 | 2007 | 40 | |
| 7 | 2022 | 40 | |
| 8 | 2012 | 38 | |
| 9 | 2007 | 33 | |
| 10 | 2005 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2019 | 21 | |
| 14 | 2013 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2012 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2017 | 15 | |
| 19 | 2019 | 7 | |
| 20 | 2022 | 6 |
About Ling Xi
Ling Xi is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Immunology, having authored 33 papers that have together received 768 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ubiquitin and proteasome pathways (2 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers), Ion channel regulation and function (2 papers), Inflammasome and immune disorders (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Business and International Management (17 citations), Cancer Research (97 citations), Molecular Biology (471 citations), Oncology (146 citations) and Immunology (82 citations). Ling Xi has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Ding Ma, Jianfeng Zhou, Kezhen Li, Hui Shen, Hui Wang, Dan He, Xiaoli Wang, Wencheng Ding, Lan Yu and Changlin Zhang. Their work appears in journals such as Cancer Letters, BioMed Research International, Current Issues in Molecular Biology, Gynecologic Oncology and Journal of Molecular 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.