Xiaoting Ling
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
Papers in
- Surgery 7
- Organ Transplantation Techniques and Outcomes 5
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- Renal Transplantation Outcomes and Treatments 6
- Co-authors
- Zhiyong Guo (7 shared papers)Yushu Shang (7 shared papers)Wenhua Liang (7 shared papers)Yuan Kong (5 shared papers)Dongping Wang (3 shared papers)Xiaoshun He (5 shared papers)Paul M. Schroder (4 shared papers)Andrew Kao (1 shared paper)
- Journals
- PLoS ONE (3 papers)Cancer Cell International (2 papers)Transplantation (2 papers)Liver Transplantation (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoting Ling
22 papers receiving 508 citations
Peers
Comparison fields: 5 of 74
- Transplantation 95
- Hepatology 188
- Pollution 110
- Industrial and Manufacturing Engineering 36
- Ecology 103
Countries citing papers authored by Xiaoting Ling
This map shows the geographic impact of Xiaoting Ling'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 Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Ling more than expected).
Fields of papers citing papers by Xiaoting Ling
This network shows the impact of papers produced by Xiaoting Ling. 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 Ling. The network helps show where Xiaoting Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Ling, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2011 | 118 | |
| 3 | 2012 | 72 | |
| 4 | 2012 | 67 | |
| 5 | 2021 | 24 | |
| 6 | 2011 | 20 | |
| 7 | 2011 | 18 | |
| 8 | 2023 | 14 | |
| 9 | 2012 | 11 | |
| 10 | 2018 | 9 | |
| 11 | 2012 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2012 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2013 | 1 |
About Xiaoting Ling
Xiaoting Ling is a scholar working on Surgery, Transplantation, Molecular Biology, Hepatology and Obstetrics and Gynecology, having authored 26 papers that have together received 515 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), Liver Disease and Transplantation (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Uterine Myomas and Treatments (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Transplantation (95 citations), Hepatology (188 citations), Pollution (110 citations), Industrial and Manufacturing Engineering (36 citations) and Ecology (103 citations). Xiaoting Ling has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiyong Guo, Yushu Shang, Wenhua Liang, Yuan Kong, Dongping Wang, Xiaoshun He, Paul M. Schroder, Andrew Kao, Weiqiang Ju and Linwei Wu. Their work appears in journals such as PLoS ONE, Cancer Cell International, Transplantation, Liver Transplantation and Clinica Chimica Acta.
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.