Dao Pan
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Genetics top 10%
- Virus-based gene therapy research
- Neurogenetic and Muscular Disorders Research
Papers in
-
- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 5
- Physiology 21
- Lysosomal Storage Disorders Research 19
- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Chester B. Whitley (13 shared papers)Salim S. El‐Amouri (7 shared papers)Mei Dai (8 shared papers)Daren Wang (4 shared papers)Roscoe O. Brady (3 shared papers)Roland Günther (2 shared papers)R. Scott McIvor (5 shared papers)David Y. Hui (1 shared paper)
- Journals
- Molecular Therapy (7 papers)Human Gene Therapy (4 papers)The Journal of Gene Medicine (4 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Dao Pan
38 papers receiving 849 citations
Peers
Comparison fields: 5 of 87
- Physiology 366
- Genetics 300
- Genetics 104
- Physiology 41
- Cell Biology 127
Countries citing papers authored by Dao Pan
This map shows the geographic impact of Dao 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 Dao Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dao Pan more than expected).
Fields of papers citing papers by Dao Pan
This network shows the impact of papers produced by Dao 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 Dao Pan. The network helps show where Dao Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dao 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 130 | |
| 2 | 2002 | 113 | |
| 3 | 2004 | 78 | |
| 4 | 2015 | 59 | |
| 5 | 2007 | 49 | |
| 6 | 2009 | 43 | |
| 7 | 2006 | 38 | |
| 8 | 1996 | 35 | |
| 9 | 1999 | 30 | |
| 10 | 1996 | 27 | |
| 11 | 2011 | 21 | |
| 12 | 2014 | 19 | |
| 13 | 1999 | 19 | |
| 14 | 1999 | 17 | |
| 15 | 2012 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2016 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2000 | 13 |
About Dao Pan
Dao Pan is a scholar working on Molecular Biology, Physiology, Genetics, Cell Biology and Genetics, having authored 40 papers that have together received 871 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (19 papers), Virus-based gene therapy research (18 papers), CRISPR and Genetic Engineering (7 papers), Cellular transport and secretion (7 papers), RNA Interference and Gene Delivery (5 papers), Trypanosoma species research and implications (4 papers), Neonatal and fetal brain pathology (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Physiology (366 citations), Genetics (300 citations), Genetics (104 citations), Physiology (41 citations) and Cell Biology (127 citations). Dao Pan has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Chester B. Whitley, Salim S. El‐Amouri, Mei Dai, Daren Wang, Roscoe O. Brady, Roland Günther, R. Scott McIvor, David Y. Hui, Chia‐Yi Kuan and Tal Kafri. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, The Journal of Gene Medicine, Proceedings of the National Academy of Sciences and PLoS ONE.
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.