Hao Pan
Impact in
- Pharmacology top 2%
- Piperaceae Chemical and Biological Studies
- Ginger and Zingiberaceae research
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Inflammasome and immune disorders 7
- Epidemiology 13
- Autophagy in Disease and Therapy 9
- Herpesvirus Infections and Treatments 3
- Co-authors
- Xian‐Hui He (17 shared papers)Dong‐Yun Ouyang (17 shared papers)Lihui Xu (16 shared papers)John E. Shively (3 shared papers)Kunpeng Liu (4 shared papers)Aijun Liu (6 shared papers)Dongfeng Chen (6 shared papers)Yuqing Lin (3 shared papers)
- Journals
- Oncotarget (4 papers)Acta Biochimica et Biophysica Sinica (3 papers)PLoS ONE (2 papers)Phytomedicine (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hao Pan
58 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Pharmacology 204
- Nephrology 132
- Parasitology 124
- Cancer Research 175
- Immunology 255
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2018 | 149 | |
| 3 | 2013 | 114 | |
| 4 | 2016 | 93 | |
| 5 | 2016 | 83 | |
| 6 | 2015 | 74 | |
| 7 | 2020 | 68 | |
| 8 | 2014 | 67 | |
| 9 | 2012 | 67 | |
| 10 | 2022 | 66 | |
| 11 | 2012 | 52 | |
| 12 | 2016 | 47 | |
| 13 | 2013 | 44 | |
| 14 | 2010 | 43 | |
| 15 | 2016 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2014 | 33 | |
| 18 | 2015 | 32 | |
| 19 | 2015 | 31 | |
| 20 | 2012 | 30 |
About Hao Pan
Hao Pan is a scholar working on Molecular Biology, Epidemiology, Parasitology, Pharmacology and Immunology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Toxoplasma gondii Research Studies (8 papers), Inflammasome and immune disorders (7 papers), Immune Response and Inflammation (4 papers), Piperaceae Chemical and Biological Studies (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Pharmacology (204 citations), Nephrology (132 citations), Parasitology (124 citations), Cancer Research (175 citations) and Immunology (255 citations). Hao Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xian‐Hui He, Dong‐Yun Ouyang, Lihui Xu, John E. Shively, Kunpeng Liu, Aijun Liu, Dongfeng Chen, Yuqing Lin, Rongze Lu and Gaoxiang Zhao. Their work appears in journals such as Oncotarget, Acta Biochimica et Biophysica Sinica, PLoS ONE, Phytomedicine and Frontiers in Immunology.
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.