Liling Long
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Heavy Metal Exposure and Toxicity
Papers in
- Hepatology 19
- Hepatocellular Carcinoma Treatment and Prognosis 18
-
- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Yue‐Ming Jiang (8 shared papers)Wei Zheng (5 shared papers)Muliang Jiang (15 shared papers)Yuwei Xia (6 shared papers)Wenbin Guo (7 shared papers)Feng Liu (6 shared papers)Changqing Xiao (6 shared papers)Yi Dai (5 shared papers)
- Journals
- Abdominal Radiology (5 papers)Frontiers in Oncology (4 papers)Journal of Magnetic Resonance Imaging (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Liling Long
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Hepatology 171
- Health, Toxicology and Mutagenesis 288
- Radiology, Nuclear Medicine and Imaging 307
- Cognitive Neuroscience 277
- Nutrition and Dietetics 192
Countries citing papers authored by Liling Long
This map shows the geographic impact of Liling Long'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 Liling Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Long more than expected).
Fields of papers citing papers by Liling Long
This network shows the impact of papers produced by Liling Long. 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 Liling Long. The network helps show where Liling Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Liling Long, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 132 | |
| 2 | 2012 | 129 | |
| 3 | 2006 | 119 | |
| 4 | 2014 | 84 | |
| 5 | 1996 | 63 | |
| 6 | 2014 | 59 | |
| 7 | 2019 | 49 | |
| 8 | 2019 | 45 | |
| 9 | 2007 | 44 | |
| 10 | 2009 | 44 | |
| 11 | 2008 | 43 | |
| 12 | 2014 | 42 | |
| 13 | 2016 | 41 | |
| 14 | 2014 | 40 | |
| 15 | 2019 | 39 | |
| 16 | 2014 | 34 | |
| 17 | 2009 | 29 | |
| 18 | 2015 | 29 | |
| 19 | 2021 | 29 | |
| 20 | 2019 | 28 |
About Liling Long
Liling Long is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Genetics and Surgery, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Liver Disease Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Heavy Metal Exposure and Toxicity (5 papers), Psychosomatic Disorders and Their Treatments (5 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Hepatology (171 citations), Health, Toxicology and Mutagenesis (288 citations), Radiology, Nuclear Medicine and Imaging (307 citations), Cognitive Neuroscience (277 citations) and Nutrition and Dietetics (192 citations). Liling Long has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yue‐Ming Jiang, Wei Zheng, Muliang Jiang, Yuwei Xia, Wenbin Guo, Feng Liu, Changqing Xiao, Yi Dai, Jian Zhang and James B. Murdoch. Their work appears in journals such as Abdominal Radiology, Frontiers in Oncology, Journal of Magnetic Resonance Imaging, PLoS ONE and Scientific Reports.
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.