Ji-Qiang Jin
- Pathology and Forensic Medicine top 1%
- Molecular Biology top 10%
- Plant Science top 5%
- Biochemistry top 1%
- Food Science top 5%
- Co-authors
- Liang ChenChun-Lei MaMing-Zhe YaoJian‐Qiang MaChunfang LiXinchao WangYue‐Rong LiangYing-Ying Du
- Topics
- Tea Polyphenols and Effects (28 papers)Food Quality and Safety Studies (11 papers)Coffee research and impacts (8 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Ji-Qiang Jin
53 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 808
- Molecular Biology 746
- Plant Science 546
- Biochemistry 363
- Food Science 322
Countries citing papers authored by Ji-Qiang Jin
This map shows the geographic impact of Ji-Qiang Jin'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 Ji-Qiang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-Qiang Jin more than expected).
Fields of papers citing papers by Ji-Qiang Jin
This network shows the impact of papers produced by Ji-Qiang Jin. 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 Ji-Qiang Jin. The network helps show where Ji-Qiang Jin may publish in the future.
Co-authorship network of co-authors of Ji-Qiang Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Qiang Jin. A scholar is included among the top collaborators of Ji-Qiang Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji-Qiang Jin. Ji-Qiang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 27 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 17 | |
| 7 | Analysis of genetic diversity and construction of DNA fingerprints of chlorophyll-deficient tea cultivars by SSR markers. | 2 |
| 8 | 31 | |
| 9 | Attractions of volatiles from wax-apple fruit to the oriental fruit fly | 1 |
| 10 | 65 | |
| 11 | 6 | |
| 12 | 65 | |
| 13 | Cloning and sequence analysis of the N-methyltransferase gene family involving in caffeine biosynthesis of tea plant. | 3 |
| 14 | 55 | |
| 15 | 253 | |
| 16 | Expression Analysis of Auxin-related Genes at Different Winter Dormant Stages of Axillary Buds in Tea Plant(Camellia sinensis) | 1 |
| 17 | The association analysis of phenotypic traits with EST-SSR markers in tea plants. | 3 |
| 18 | Simplification of EcoTILLING technique for tea plant. | 2 |
| 19 | 39 | |
| 20 | 34 |
About Ji-Qiang Jin
Ji-Qiang Jin is a scholar working on Pathology and Forensic Medicine, Biochemistry and Biological Psychiatry, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (28 papers), Food Quality and Safety Studies (11 papers) and Coffee research and impacts (8 papers). The work is most often cited by research in Biochemistry (363 citations), Pathology and Forensic Medicine (808 citations) and Food Science (322 citations). Ji-Qiang Jin has collaborated with scholars based in China, Türkiye and Australia. Frequent co-authors include Liang Chen, Chun-Lei Ma, Ming-Zhe Yao, Jian‐Qiang Ma, Chunfang Li, Xinchao Wang, Yue‐Rong Liang, Ying-Ying Du, Jian‐Liang Lu and Yajun Yang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.