Hao Nie
Impact in
- Parasitology top 2%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Virology top 10%
Papers in
- Epidemiology 15
- Herpesvirus Infections and Treatments 9
- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Anjun Su (5 shared papers)Wen Yi (2 shared papers)Junlong Zhao (10 shared papers)Yuan Yong (1 shared paper)Quan Gong (9 shared papers)Yanqin Zhou (8 shared papers)Xiaohui Yuan (4 shared papers)Yaxian Cheng (1 shared paper)
- Journals
- Veterinary Parasitology (5 papers)Nature Communications (3 papers)International Immunopharmacology (3 papers)Industrial Crops and Products (2 papers)Journal of Animal Science (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hao Nie
85 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 146
- Parasitology 294
- Virology 74
- Pharmacology 106
- Cancer Research 171
- Epidemiology 391
Countries citing papers authored by Hao Nie
This map shows the geographic impact of Hao Nie'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 Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Nie more than expected).
Fields of papers citing papers by Hao Nie
This network shows the impact of papers produced by Hao Nie. 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 Nie. The network helps show where Hao Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Nie, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 242 | |
| 2 | 2008 | 171 | |
| 3 | 2009 | 96 | |
| 4 | 2019 | 73 | |
| 5 | 2012 | 72 | |
| 6 | 2010 | 70 | |
| 7 | 2013 | 70 | |
| 8 | 2016 | 58 | |
| 9 | 2018 | 56 | |
| 10 | 2011 | 54 | |
| 11 | 2015 | 47 | |
| 12 | 2021 | 43 | |
| 13 | 2009 | 38 | |
| 14 | 2010 | 38 | |
| 15 | 2008 | 37 | |
| 16 | 2014 | 37 | |
| 17 | 2016 | 36 | |
| 18 | 2011 | 34 | |
| 19 | 2021 | 34 | |
| 20 | 2016 | 33 |
About Hao Nie
Hao Nie is a scholar working on Molecular Biology, Epidemiology, Parasitology, Clinical Biochemistry and Immunology, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (10 papers), Herpesvirus Infections and Treatments (9 papers), Advanced Glycation End Products research (8 papers), Animal Nutrition and Physiology (6 papers), Electric Power System Optimization (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Parasitology (294 citations), Virology (74 citations), Pharmacology (106 citations), Cancer Research (171 citations) and Epidemiology (391 citations). Hao Nie has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Anjun Su, Wen Yi, Junlong Zhao, Yuan Yong, Quan Gong, Yanqin Zhou, Xiaohui Yuan, Yaxian Cheng, Xiaoliu Shi and Jiayi Fan. Their work appears in journals such as Veterinary Parasitology, Nature Communications, International Immunopharmacology, Industrial Crops and Products and Journal of Animal Science.
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.