Jia Ji
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Virology top 10%
- Poxvirus research and outbreaks
Papers in
- Epidemiology 12
- Co-authors
- Changliang Luo (4 shared papers)Wu-Wen Zhang (3 shared papers)Zhonghua Yang (2 shared papers)Yuhui Wang (3 shared papers)Jiqiang Li (5 shared papers)Zai-Rong Zhang (5 shared papers)Fubing Wang (1 shared paper)Kun Wang (1 shared paper)
- Journals
- Genomics Proteomics & Bioinformatics (5 papers)Molecular Cell (3 papers)Inorganica Chimica Acta (3 papers)Polyhedron (2 papers)Viruses (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jia Ji
64 papers receiving 775 citations
Peers
Comparison fields: 5 of 114
- Cancer Research 148
- Virology 41
- Infectious Diseases 89
- Molecular Biology 324
- Oncology 101
Countries citing papers authored by Jia Ji
This map shows the geographic impact of Jia Ji'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 Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Ji more than expected).
Fields of papers citing papers by Jia Ji
This network shows the impact of papers produced by Jia Ji. 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 Ji. The network helps show where Jia Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Ji, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2018 | 46 | |
| 3 | 2010 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 2014 | 40 | |
| 6 | 2022 | 37 | |
| 7 | 2012 | 32 | |
| 8 | 2003 | 30 | |
| 9 | 2021 | 30 | |
| 10 | 2017 | 28 | |
| 11 | 2003 | 19 | |
| 12 | 2013 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2022 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2003 | 15 | |
| 20 | 2017 | 14 |
About Jia Ji
Jia Ji is a scholar working on Molecular Biology, Epidemiology, Electronic, Optical and Magnetic Materials, Infectious Diseases and Materials Chemistry, having authored 70 papers that have together received 780 indexed citations. Recurring topics across this work include Magnetism in coordination complexes (9 papers), Lanthanide and Transition Metal Complexes (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Cancer-related molecular mechanisms research (5 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Animal Virus Infections Studies (4 papers), MicroRNA in disease regulation (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Cancer Research (148 citations), Virology (41 citations), Infectious Diseases (89 citations), Molecular Biology (324 citations) and Oncology (101 citations). Jia Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Changliang Luo, Wu-Wen Zhang, Zhonghua Yang, Yuhui Wang, Jiqiang Li, Zai-Rong Zhang, Fubing Wang, Kun Wang, Hao Chen and Linhan Wang. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Molecular Cell, Inorganica Chimica Acta, Polyhedron and Viruses.
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.