Xiang Pan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 19
-
- Cancer-related molecular mechanisms research 23
- MicroRNA in disease regulation 21
- Co-authors
- Yongqing Lai (28 shared papers)Jing Quan (20 shared papers)Liwen Zhao (18 shared papers)Shangqi Yang (17 shared papers)Zuwei Li (12 shared papers)Lihong Hu (8 shared papers)Junwei Wang (8 shared papers)Canbin Lin (11 shared papers)
- Journals
- Scientific Reports (4 papers)Biomedicine & Pharmacotherapy (4 papers)Organic Letters (4 papers)Organic & Biomolecular Chemistry (3 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiang Pan
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 577
- Applied Microbiology and Biotechnology 27
- Molecular Biology 773
- Virology 37
- Toxicology 24
Countries citing papers authored by Xiang Pan
This map shows the geographic impact of Xiang 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 Xiang Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Pan more than expected).
Fields of papers citing papers by Xiang Pan
This network shows the impact of papers produced by Xiang 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 Xiang Pan. The network helps show where Xiang Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2021 | 91 | |
| 3 | 2021 | 70 | |
| 4 | 2014 | 66 | |
| 5 | 2018 | 66 | |
| 6 | 2021 | 63 | |
| 7 | 2017 | 52 | |
| 8 | 2018 | 40 | |
| 9 | 2020 | 38 | |
| 10 | 2018 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2018 | 31 | |
| 14 | 2017 | 30 | |
| 15 | 2017 | 27 | |
| 16 | GRHL2 suppresses tumor metastasis via regulation of transcriptional activity of RhoG in non-small cell lung cancer. | 2017 | 25 |
| 17 | 2014 | 25 | |
| 18 | 2021 | 24 | |
| 19 | 2018 | 24 | |
| 20 | 2018 | 21 |
About Xiang Pan
Xiang Pan is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (21 papers), Circular RNAs in diseases (19 papers), Renal cell carcinoma treatment (5 papers), Synthesis of Indole Derivatives (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Parasites and Host Interactions (4 papers) and Axial and Atropisomeric Chirality Synthesis (4 papers). The work is most often cited by research in Cancer Research (577 citations), Applied Microbiology and Biotechnology (27 citations), Molecular Biology (773 citations), Virology (37 citations) and Toxicology (24 citations). Xiang Pan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yongqing Lai, Jing Quan, Liwen Zhao, Shangqi Yang, Zuwei Li, Lihong Hu, Junwei Wang, Canbin Lin, Lin Zhao and Tao He. Their work appears in journals such as Scientific Reports, Biomedicine & Pharmacotherapy, Organic Letters, Organic & Biomolecular Chemistry and OncoTargets and Therapy.
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.