Jun Xiang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Thyroid Cancer Diagnosis and Treatment 25
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- RNA modifications and cancer 3
- Co-authors
- Yunjun Wang (15 shared papers)Qing Guan (21 shared papers)Duanshu Li (10 shared papers)Hongtao Lu (4 shared papers)Jiajun Du (2 shared papers)Qin Yu (2 shared papers)Xiaochun Wan (2 shared papers)Qinghai Ji (12 shared papers)
- Journals
- Annals of Translational Medicine (4 papers)Journal of Cancer (3 papers)Oncology Reports (2 papers)Thyroid (2 papers)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Xiang
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 119
- Health Informatics 36
- Endocrinology, Diabetes and Metabolism 288
- Cancer Research 125
- Radiology, Nuclear Medicine and Imaging 163
- Otorhinolaryngology 28
Countries citing papers authored by Jun Xiang
This map shows the geographic impact of Jun Xiang'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 Jun Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xiang more than expected).
Fields of papers citing papers by Jun Xiang
This network shows the impact of papers produced by Jun Xiang. 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 Jun Xiang. The network helps show where Jun Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xiang, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2019 | 70 | |
| 3 | 2016 | 69 | |
| 4 | 2018 | 65 | |
| 5 | 2019 | 63 | |
| 6 | 2016 | 55 | |
| 7 | 2019 | 44 | |
| 8 | 2021 | 42 | |
| 9 | 2018 | 41 | |
| 10 | 2015 | 37 | |
| 11 | 2020 | 34 | |
| 12 | 2018 | 34 | |
| 13 | 2020 | 29 | |
| 14 | 2016 | 23 | |
| 15 | 2024 | 23 | |
| 16 | 2024 | 22 | |
| 17 | 2020 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 14 |
About Jun Xiang
Jun Xiang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Cancer Research, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (25 papers), Head and Neck Cancer Studies (3 papers), Thyroid and Parathyroid Surgery (3 papers), RNA modifications and cancer (3 papers), Thermochemical Biomass Conversion Processes (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (36 citations), Endocrinology, Diabetes and Metabolism (288 citations), Cancer Research (125 citations), Radiology, Nuclear Medicine and Imaging (163 citations) and Otorhinolaryngology (28 citations). Jun Xiang has collaborated with scholars based in China and United States. Frequent co-authors include Yunjun Wang, Qing Guan, Duanshu Li, Hongtao Lu, Jiajun Du, Qin Yu, Xiaochun Wan, Qinghai Ji, Bo Ping and Tian Liao. Their work appears in journals such as Annals of Translational Medicine, Journal of Cancer, Oncology Reports, Thyroid and SAE technical papers on CD-ROM/SAE technical paper series.
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.