Jia Hu
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 12
- Insect Resistance and Genetics 9
- Bacillus and Francisella bacterial research 3
-
- Plant Virus Research Studies 7
- Co-authors
- Chengfeng Lei (17 shared papers)Xiulian Sun (14 shared papers)Jian Yang (5 shared papers)Alfredo G. Torres (2 shared papers)Brittany N. Ross (1 shared paper)Elena Sbrana (1 shared paper)Mei‐Jun Zhu (3 shared papers)Fujun Qin (4 shared papers)
- Journals
- Frontiers in Microbiology (2 papers)Plant Disease (2 papers)Viruses (2 papers)Journal of General Virology (2 papers)Pest Management Science (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jia Hu
32 papers receiving 762 citations
Jia Hu's Hit Papers
Peers
Comparison fields: 5 of 91
- Endocrinology 153
- Infectious Diseases 237
- Molecular Medicine 55
- Insect Science 63
- Molecular Biology 284
Countries citing papers authored by Jia Hu
This map shows the geographic impact of Jia Hu'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 Jia Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Hu more than expected).
Fields of papers citing papers by Jia Hu
This network shows the impact of papers produced by Jia Hu. 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 Jia Hu. The network helps show where Jia Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Hu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the Calculation of TCID50 for Quantitation of Virus Infectivity Hit paper breakdown → | 2020 | 299 |
| 2 | 2015 | 129 | |
| 3 | 2015 | 62 | |
| 4 | 2011 | 36 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 23 | |
| 7 | 2013 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2020 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2015 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 5 |
About Jia Hu
Jia Hu is a scholar working on Molecular Biology, Plant Science, Insect Science, Endocrinology and Genetics, having authored 36 papers that have together received 772 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (12 papers), Insect Resistance and Genetics (9 papers), Plant Virus Research Studies (7 papers), Escherichia coli research studies (4 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacillus and Francisella bacterial research (3 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). The work is most often cited by research in Endocrinology (153 citations), Infectious Diseases (237 citations), Molecular Medicine (55 citations), Insect Science (63 citations) and Molecular Biology (284 citations). Jia Hu has collaborated with scholars based in China and United States. Frequent co-authors include Chengfeng Lei, Xiulian Sun, Jian Yang, Alfredo G. Torres, Brittany N. Ross, Elena Sbrana, Mei‐Jun Zhu, Fujun Qin, Jie Wu and Zhongxian Lu. Their work appears in journals such as Frontiers in Microbiology, Plant Disease, Viruses, Journal of General Virology and Pest Management 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.