Yan Pan
Impact in
- Paleontology top 2%
- Archaeology and ancient environmental studies
- Archeology top 5%
Papers in
-
- Natural product bioactivities and synthesis 7
- Muscle Physiology and Disorders 4
- Co-authors
- Lu Tie (20 shared papers)Munekazu Shigekawa (5 shared papers)Xuejun Li (27 shared papers)Yu An (11 shared papers)Takahiro Iwamoto (3 shared papers)Xueyang Pan (7 shared papers)Xiaohong Wu (6 shared papers)Jing Han (6 shared papers)
- Journals
- Cellular Physiology and Biochemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)Brain Research (3 papers)PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yan Pan
102 papers receiving 3.2k citations
Yan Pan's Hit Papers
Peers
Comparison fields: 5 of 167
- Paleontology 355
- Archeology 39
- Molecular Medicine 154
- Geography, Planning and Development 175
- Anthropology 226
Countries citing papers authored by Yan Pan
This map shows the geographic impact of Yan 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 Yan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Pan more than expected).
Fields of papers citing papers by Yan Pan
This network shows the impact of papers produced by Yan 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 Yan Pan. The network helps show where Yan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early Pottery at 20,000 Years Ago in Xianrendong Cave, China Hit paper breakdown → | 2012 | 242 |
| 2 | 2012 | 234 | |
| 3 | 1996 | 165 | |
| 4 | 2009 | 164 | |
| 5 | 2009 | 128 | |
| 6 | 1998 | 126 | |
| 7 | 2005 | 118 | |
| 8 | 2010 | 106 | |
| 9 | 1998 | 99 | |
| 10 | 1999 | 86 | |
| 11 | 2006 | 86 | |
| 12 | 2012 | 82 | |
| 13 | 2012 | 74 | |
| 14 | 2009 | 67 | |
| 15 | 2012 | 67 | |
| 16 | 2015 | 63 | |
| 17 | 2007 | 63 | |
| 18 | 2012 | 48 | |
| 19 | 2012 | 46 | |
| 20 | 2016 | 44 |
About Yan Pan
Yan Pan is a scholar working on Molecular Biology, Cancer Research, Oncology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 114 papers that have together received 3.3k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), Curcumin's Biomedical Applications (7 papers), Archaeology and ancient environmental studies (6 papers), Chromatography in Natural Products (6 papers), Cell Adhesion Molecules Research (5 papers), Adipose Tissue and Metabolism (4 papers), Muscle Physiology and Disorders (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Paleontology (355 citations), Archeology (39 citations), Molecular Medicine (154 citations), Geography, Planning and Development (175 citations) and Anthropology (226 citations). Yan Pan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lu Tie, Munekazu Shigekawa, Xuejun Li, Yu An, Takahiro Iwamoto, Xueyang Pan, Xiaohong Wu, Jing Han, David J. Cohen and Paul Goldberg. Their work appears in journals such as Cellular Physiology and Biochemistry, Biochemical and Biophysical Research Communications, Brain Research, PLoS ONE and Proceedings of the National Academy of Sciences.
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.