Lingxi Jiang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Cancer-related molecular mechanisms research
Papers in
-
- CRISPR and Genetic Engineering 4
- RNA modifications and cancer 4
- Oncology 16
- Pancreatic and Hepatic Oncology Research 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- Chunbao Xie (9 shared papers)Yi Shi (6 shared papers)Bo Gong (8 shared papers)Zhenglin Yang (7 shared papers)Xingxiang Yang (1 shared paper)Li Jiang (1 shared paper)Guo Si (1 shared paper)Minmin Shi (13 shared papers)
In The Last Decade
Lingxi Jiang
46 papers receiving 782 citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 194
- Cancer Research 102
- Oncology 151
- Molecular Biology 296
- Biomaterials 52
Countries citing papers authored by Lingxi Jiang
This map shows the geographic impact of Lingxi Jiang'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 Lingxi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingxi Jiang more than expected).
Fields of papers citing papers by Lingxi Jiang
This network shows the impact of papers produced by Lingxi Jiang. 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 Lingxi Jiang. The network helps show where Lingxi Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingxi Jiang, 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 | 2020 | 247 | |
| 2 | 2022 | 80 | |
| 3 | 2023 | 48 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2010 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2012 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2010 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2009 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 10 |
About Lingxi Jiang
Lingxi Jiang is a scholar working on Molecular Biology, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 53 papers that have together received 792 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Retinal Diseases and Treatments (5 papers), Corneal surgery and disorders (5 papers), Nanoplatforms for cancer theranostics (4 papers), CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Infectious Diseases (194 citations), Cancer Research (102 citations), Oncology (151 citations), Molecular Biology (296 citations) and Biomaterials (52 citations). Lingxi Jiang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Chunbao Xie, Yi Shi, Bo Gong, Zhenglin Yang, Xingxiang Yang, Li Jiang, Guo Si, Minmin Shi, Hua Yu and Xuemei Chen. Their work appears in journals such as Ophthalmic Genetics, Journal of Translational Medicine, Cell Death and Disease, Advanced Science and Journal of Experimental & 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.