Junli Jia
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Advanced biosensing and bioanalysis techniques 14
- DNA and Nucleic Acid Chemistry 4
- Oncology 8
- Metal complexes synthesis and properties 4
- Co-authors
- Fei Hao (5 shared papers)Rui Cao (3 shared papers)Ming Zhou (4 shared papers)Xiaochuan Ma (3 shared papers)Aiguo Xu (2 shared papers)Hong Luo (2 shared papers)Yanfeng Gao (2 shared papers)Yumiao Zhao (3 shared papers)
In The Last Decade
Junli Jia
43 papers receiving 1.7k citations
Junli Jia's Hit Papers
Peers
Comparison fields: 5 of 119
- Neurology 522
- Critical Care and Intensive Care Medicine 85
- Infectious Diseases 291
- Oncology 260
- Microbiology 53
Countries citing papers authored by Junli Jia
This map shows the geographic impact of Junli Jia'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 Junli Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Jia more than expected).
Fields of papers citing papers by Junli Jia
This network shows the impact of papers produced by Junli Jia. 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 Junli Jia. The network helps show where Junli Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Jia, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery Hit paper breakdown → | 2020 | 656 |
| 2 | 2013 | 229 | |
| 3 | 2014 | 112 | |
| 4 | 2016 | 79 | |
| 5 | 2011 | 78 | |
| 6 | 2013 | 67 | |
| 7 | 2021 | 66 | |
| 8 | 2015 | 37 | |
| 9 | 2017 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2016 | 28 | |
| 12 | 2024 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2012 | 24 | |
| 15 | 2023 | 18 | |
| 16 | 2019 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2016 | 14 | |
| 19 | 2025 | 14 | |
| 20 | 2024 | 13 |
About Junli Jia
Junli Jia is a scholar working on Molecular Biology, Oncology, Physiology, Organic Chemistry and Ecology, Evolution, Behavior and Systematics, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Cytomegalovirus and herpesvirus research (5 papers), Collembola Taxonomy and Ecology Studies (4 papers), Hemiptera Insect Studies (4 papers), Metal complexes synthesis and properties (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Aquatic Invertebrate Ecology and Behavior (4 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Neurology (522 citations), Critical Care and Intensive Care Medicine (85 citations), Infectious Diseases (291 citations), Oncology (260 citations) and Microbiology (53 citations). Junli Jia has collaborated with scholars based in China, Poland and France. Frequent co-authors include Fei Hao, Rui Cao, Ming Zhou, Xiaochuan Ma, Aiguo Xu, Hong Luo, Yanfeng Gao, Yumiao Zhao, Qingquan Li and Qin-Fu Xu. Their work appears in journals such as Analytical Chemistry, Zootaxa, Journal of Medicinal Chemistry, BMC Genomics and Chemistry - A European Journal.
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.