Xin Pan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
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- Natural product bioactivities and synthesis 2
- RNA modifications and cancer 2
-
- Osteoarthritis Treatment and Mechanisms 5
- Rheumatoid Arthritis Research and Therapies 2
- Co-authors
- Dekang Lv (1 shared paper)Wei Ji (1 shared paper)Qin Chen (1 shared paper)Yong Li (1 shared paper)Yanming Zhu (1 shared paper)Hua Cai (1 shared paper)Peng Gao (1 shared paper)Liang Yang (1 shared paper)
- Journals
- Molecular Genetics and Genomics (1 paper)BioMetals (1 paper)Biomaterials Research (1 paper)Histopathology (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xin Pan
25 papers receiving 607 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 95
- Plant Science 193
- Rheumatology 65
- Pathology and Forensic Medicine 77
- Pharmacology 31
Countries citing papers authored by Xin Pan
This map shows the geographic impact of Xin 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 Xin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Pan more than expected).
Fields of papers citing papers by Xin Pan
This network shows the impact of papers produced by Xin 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 Xin Pan. The network helps show where Xin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 186 | |
| 2 | 2011 | 59 | |
| 3 | 2019 | 56 | |
| 4 | 2013 | 36 | |
| 5 | 2015 | 32 | |
| 6 | 2018 | 30 | |
| 7 | Altered expression of miR-21 and PTEN in human laryngeal and hypopharyngeal squamous cell carcinomas. | 2011 | 29 |
| 8 | 2011 | 26 | |
| 9 | 2013 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2021 | 15 | |
| 12 | 2024 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2011 | 7 | |
| 20 | 2022 | 7 |
About Xin Pan
Xin Pan is a scholar working on Molecular Biology, Rheumatology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 28 papers that have together received 623 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Natural product bioactivities and synthesis (2 papers), Urinary and Genital Oncology Studies (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Cervical and Thoracic Myelopathy (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (95 citations), Plant Science (193 citations), Rheumatology (65 citations), Pathology and Forensic Medicine (77 citations) and Pharmacology (31 citations). Xin Pan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dekang Lv, Wei Ji, Qin Chen, Yong Li, Yanming Zhu, Hua Cai, Peng Gao, Liang Yang, Xi Bai and Lei Cheng. Their work appears in journals such as Molecular Genetics and Genomics, BioMetals, Biomaterials Research, Histopathology and International Immunopharmacology.
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.