Xiaofen Li
Impact in
- Health Informatics top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
- Co-authors
- Bing Fan (4 shared papers)Chuanhong Wang (1 shared paper)Zicong Li (1 shared paper)Bingliang Zeng (1 shared paper)Honglu Li (1 shared paper)Qinglin Shen (1 shared paper)Hongbiao Huang (11 shared papers)Ningning Liu (9 shared papers)
- Journals
- Oncotarget (6 papers)Scientific Reports (5 papers)Frontiers in Oncology (4 papers)Medicine (3 papers)Frontiers in Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaofen Li
97 papers receiving 2.2k citations
Xiaofen Li's Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 36
- Infectious Diseases 308
- Radiology, Nuclear Medicine and Imaging 358
- Oncology 387
- Critical Care and Intensive Care Medicine 42
Countries citing papers authored by Xiaofen Li
This map shows the geographic impact of Xiaofen Li'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 Xiaofen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofen Li more than expected).
Fields of papers citing papers by Xiaofen Li
This network shows the impact of papers produced by Xiaofen Li. 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 Xiaofen Li. The network helps show where Xiaofen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofen Li, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT? Hit paper breakdown → | 2020 | 674 |
| 2 | 2020 | 128 | |
| 3 | 2013 | 117 | |
| 4 | 2014 | 73 | |
| 5 | 2015 | 71 | |
| 6 | 2011 | 59 | |
| 7 | 2020 | 57 | |
| 8 | 2021 | 50 | |
| 9 | 2016 | 49 | |
| 10 | 2018 | 45 | |
| 11 | 2017 | 43 | |
| 12 | 2014 | 40 | |
| 13 | 2022 | 37 | |
| 14 | 2019 | 36 | |
| 15 | 2024 | 33 | |
| 16 | 2017 | 31 | |
| 17 | 2020 | 30 | |
| 18 | 2016 | 28 | |
| 19 | 2013 | 28 | |
| 20 | 2021 | 25 |
About Xiaofen Li
Xiaofen Li is a scholar working on Oncology, Surgery, Molecular Biology, Pathology and Forensic Medicine and Plant Science, having authored 110 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Natural Compound Pharmacology Studies (6 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Genetic factors in colorectal cancer (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer Genomics and Diagnostics (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Health Informatics (36 citations), Infectious Diseases (308 citations), Radiology, Nuclear Medicine and Imaging (358 citations), Oncology (387 citations) and Critical Care and Intensive Care Medicine (42 citations). Xiaofen Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bing Fan, Chuanhong Wang, Zicong Li, Bingliang Zeng, Honglu Li, Qinglin Shen, Hongbiao Huang, Ningning Liu, Shouting Liu and Jinbao Liu. Their work appears in journals such as Oncotarget, Scientific Reports, Frontiers in Oncology, Medicine and Frontiers in Pharmacology.
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.