Hao Pan
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics, phytochemicals, and oxidative stress 13
- Circular RNAs in diseases 6
-
- Chemotherapy-induced organ toxicity mitigation 10
- Co-authors
- Handong Wang (24 shared papers)Pál Pacher (8 shared papers)Bin Gao (7 shared papers)Partha Mukhopadhyay (7 shared papers)György Haskó (7 shared papers)Mohanraj Rajesh (7 shared papers)Lin Zhu (12 shared papers)Lei Mao (5 shared papers)
- Journals
- PLoS ONE (4 papers)Biological Trace Element Research (4 papers)Oncology Reports (4 papers)Shock (3 papers)The FASEB Journal (3 papers)
- Partner nations
- ChinaUnited StatesMadagascar
In The Last Decade
Hao Pan
126 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 128
- Pharmacology 723
- Cancer Research 530
- Pathology and Forensic Medicine 616
- Biological Psychiatry 69
- Molecular Biology 1.6k
Countries citing papers authored by Hao Pan
This map shows the geographic impact of Hao 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 Hao Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Pan more than expected).
Fields of papers citing papers by Hao Pan
This network shows the impact of papers produced by Hao 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 Hao Pan. The network helps show where Hao Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 218 | |
| 2 | 2007 | 210 | |
| 3 | 2009 | 185 | |
| 4 | 2012 | 161 | |
| 5 | 2012 | 158 | |
| 6 | 2010 | 131 | |
| 7 | 2007 | 122 | |
| 8 | 2011 | 112 | |
| 9 | 2017 | 106 | |
| 10 | 2017 | 100 | |
| 11 | 2013 | 97 | |
| 12 | 2017 | 86 | |
| 13 | 2015 | 82 | |
| 14 | 2016 | 77 | |
| 15 | 2018 | 76 | |
| 16 | 2016 | 73 | |
| 17 | 2018 | 63 | |
| 18 | 2017 | 59 | |
| 19 | 2011 | 58 | |
| 20 | 2017 | 56 |
About Hao Pan
Hao Pan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Pharmacology and Plant Science, having authored 129 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (13 papers), Chemotherapy-induced organ toxicity mitigation (10 papers), MicroRNA in disease regulation (9 papers), Trace Elements in Health (9 papers), Heavy Metal Exposure and Toxicity (7 papers), Cannabis and Cannabinoid Research (6 papers), Circular RNAs in diseases (6 papers) and Sulfur Compounds in Biology (6 papers). The work is most often cited by research in Pharmacology (723 citations), Cancer Research (530 citations), Pathology and Forensic Medicine (616 citations), Biological Psychiatry (69 citations) and Molecular Biology (1.6k citations). Hao Pan has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Handong Wang, Pál Pacher, Bin Gao, Partha Mukhopadhyay, György Haskó, Mohanraj Rajesh, Lin Zhu, Lei Mao, Sándor Bátkai and Bani Mukhopadhyay. Their work appears in journals such as PLoS ONE, Biological Trace Element Research, Oncology Reports, Shock and The FASEB Journal.
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.