Hua Cong
Impact in
- Parasitology top 0.5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Virology top 5%
- Rabies epidemiology and control
Papers in
- Parasitology 54
- Toxoplasma gondii Research Studies 53
- Parasitic Infections and Diagnostics 8
- Epidemiology 45
- Herpesvirus Infections and Treatments 35
- Cytomegalovirus and herpesvirus research 14
- Co-authors
- Shenyi He (37 shared papers)Huaiyu Zhou (34 shared papers)Qunli Zhao (14 shared papers)Xing‐Quan Zhu (11 shared papers)Lingxiao Zhao (5 shared papers)Li Bie (3 shared papers)Gang Lü (11 shared papers)Aihua Zhou (11 shared papers)
- Journals
- Vaccine (6 papers)BMC Infectious Diseases (6 papers)Parasites & Vectors (5 papers)Experimental Parasitology (4 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hua Cong
83 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 114
- Parasitology 1.1k
- Virology 196
- Epidemiology 867
- Immunology 347
- Molecular Biology 632
Countries citing papers authored by Hua Cong
This map shows the geographic impact of Hua Cong'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 Hua Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Cong more than expected).
Fields of papers citing papers by Hua Cong
This network shows the impact of papers produced by Hua Cong. 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 Hua Cong. The network helps show where Hua Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Cong, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2014 | 74 | |
| 3 | 2012 | 68 | |
| 4 | 2020 | 62 | |
| 5 | 2010 | 58 | |
| 6 | 2007 | 51 | |
| 7 | 2016 | 51 | |
| 8 | 2018 | 50 | |
| 9 | 2008 | 49 | |
| 10 | 2015 | 49 | |
| 11 | 2013 | 45 | |
| 12 | 2013 | 42 | |
| 13 | 2015 | 42 | |
| 14 | 2010 | 41 | |
| 15 | 2016 | 41 | |
| 16 | 2006 | 40 | |
| 17 | 2013 | 40 | |
| 18 | 2023 | 38 | |
| 19 | 2012 | 37 | |
| 20 | 2010 | 37 |
About Hua Cong
Hua Cong is a scholar working on Parasitology, Epidemiology, Molecular Biology, Immunology and Virology, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (53 papers), Herpesvirus Infections and Treatments (35 papers), Cytomegalovirus and herpesvirus research (14 papers), Rabies epidemiology and control (9 papers), Parasitic Infections and Diagnostics (8 papers), Bacteriophages and microbial interactions (6 papers), Immunotherapy and Immune Responses (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Parasitology (1.1k citations), Virology (196 citations), Epidemiology (867 citations), Immunology (347 citations) and Molecular Biology (632 citations). Hua Cong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shenyi He, Huaiyu Zhou, Qunli Zhao, Xing‐Quan Zhu, Lingxiao Zhao, Li Bie, Gang Lü, Aihua Zhou, Yunqian Li and Chun‐Xue Zhou. Their work appears in journals such as Vaccine, BMC Infectious Diseases, Parasites & Vectors, Experimental Parasitology 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.