Jun Pan
Impact in
- Language and Linguistics top 5%
- Translation Studies and Practices
- Rehabilitation top 10%
- Elbow and Forearm Trauma Treatment
Papers in
- Surgery 19
- Orthopedic Surgery and Rehabilitation 7
- Spinal Fractures and Fixation Techniques 4
-
- Interpreting and Communication in Healthcare 13
- Co-authors
- Jackie Xiu Yan (13 shared papers)Honghua Wang (11 shared papers)Shan Ou (3 shared papers)Xiaobo Zhou (1 shared paper)Li Hua (2 shared papers)Guodong Liu (2 shared papers)Penghai Wu (1 shared paper)Xiaoshuang Ma (1 shared paper)
- Journals
- The Interpreter and Translator Trainer (3 papers)Perspectives (2 papers)Journal of Orthopaedic Surgery and Research (2 papers)Applied Mathematics and Nonlinear Sciences (2 papers)Energy Conversion and Management X (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Pan
73 papers receiving 713 citations
Peers
Comparison fields: 5 of 145
- Language and Linguistics 97
- Rehabilitation 48
- Sensory Systems 29
- Horticulture 5
- Surgery 192
Countries citing papers authored by Jun Pan
This map shows the geographic impact of Jun Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).
Fields of papers citing papers by Jun Pan
This network shows the impact of papers produced by Jun Pan. 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 Pan. The network helps show where Jun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Pan, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2022 | 45 | |
| 3 | 2019 | 41 | |
| 4 | 1999 | 41 | |
| 5 | 2014 | 29 | |
| 6 | 2013 | 28 | |
| 7 | 2023 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2015 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2010 | 20 | |
| 14 | 2014 | 19 | |
| 15 | 2015 | 17 | |
| 16 | 2012 | 16 | |
| 17 | 2017 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2015 | 11 |
About Jun Pan
Jun Pan is a scholar working on Surgery, General Health Professions, Language and Linguistics, Artificial Intelligence and Epidemiology, having authored 81 papers that have together received 745 indexed citations. Recurring topics across this work include Interpreting and Communication in Healthcare (13 papers), Translation Studies and Practices (11 papers), Orthopedic Surgery and Rehabilitation (7 papers), Bone fractures and treatments (7 papers), Natural Language Processing Techniques (6 papers), Elbow and Forearm Trauma Treatment (5 papers), Hybrid Renewable Energy Systems (5 papers) and Spinal Fractures and Fixation Techniques (4 papers). The work is most often cited by research in Language and Linguistics (97 citations), Rehabilitation (48 citations), Sensory Systems (29 citations), Horticulture (5 citations) and Surgery (192 citations). Jun Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jackie Xiu Yan, Honghua Wang, Shan Ou, Xiaobo Zhou, Li Hua, Guodong Liu, Penghai Wu, Xiaoshuang Ma, Xiangchao Meng and Jun Fei. Their work appears in journals such as The Interpreter and Translator Trainer, Perspectives, Journal of Orthopaedic Surgery and Research, Applied Mathematics and Nonlinear Sciences and Energy Conversion and Management X.
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.