Xiaoting Wen
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Eosinophilic Disorders and Syndromes
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
- Rheumatology 24
- Systemic Lupus Erythematosus Research 17
- Eosinophilic Disorders and Syndromes 3
- Epidemiology 15
- Inflammatory Myopathies and Dermatomyositis 8
- Co-authors
- Yongzhe Li (30 shared papers)Liubing Li (20 shared papers)Ziyan Wu (17 shared papers)Zhiyu Wang (4 shared papers)Hui Zhao (4 shared papers)Chenxi Liu (8 shared papers)Jing Li (11 shared papers)Si Chen (9 shared papers)
- Journals
- Oncotarget (4 papers)Clinical Rheumatology (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoting Wen
50 papers receiving 473 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 198
- Nephrology 42
- Immunology 119
- Hematology 42
- Epidemiology 119
Countries citing papers authored by Xiaoting Wen
This map shows the geographic impact of Xiaoting Wen'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 Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Wen more than expected).
Fields of papers citing papers by Xiaoting Wen
This network shows the impact of papers produced by Xiaoting Wen. 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 Wen. The network helps show where Xiaoting Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Wen, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 42 | |
| 2 | 2017 | 31 | |
| 3 | 2017 | 30 | |
| 4 | 2021 | 24 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 21 | |
| 7 | A retrospective study of risk and prognostic factors in relation to lower respiratory tract infection in elderly lung cancer patients. | 2015 | 21 |
| 8 | 2015 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2015 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2016 | 9 |
About Xiaoting Wen
Xiaoting Wen is a scholar working on Rheumatology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 54 papers that have together received 480 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (17 papers), Inflammatory Myopathies and Dermatomyositis (8 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Celiac Disease Research and Management (4 papers), Vasculitis and related conditions (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Rheumatology (198 citations), Nephrology (42 citations), Immunology (119 citations), Hematology (42 citations) and Epidemiology (119 citations). Xiaoting Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yongzhe Li, Liubing Li, Ziyan Wu, Zhiyu Wang, Hui Zhao, Chenxi Liu, Jing Li, Si Chen, Yang Yao and Dan Qiao. Their work appears in journals such as Oncotarget, Clinical Rheumatology, PLoS ONE, Scientific Reports 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.