Ling Jin
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
-
- Plant Gene Expression Analysis 7
- Metabolomics and Mass Spectrometry Studies 4
-
- Phytochemistry and Biological Activities 11
- Co-authors
- Yingdong Li (6 shared papers)Xiaohui Ma (13 shared papers)Juan Chen (5 shared papers)Shuai Shi (4 shared papers)Zichao Luo (4 shared papers)Xingyi Li (4 shared papers)Yan‐Ping Shi (5 shared papers)Jing Yu (4 shared papers)
- Journals
- Industrial Crops and Products (5 papers)Chinese Journal of Natural Medicines (3 papers)Scientific Reports (3 papers)Heliyon (2 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ling Jin
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 130
- Complementary and alternative medicine 143
- Pharmaceutical Science 113
- Molecular Medicine 77
- Ecological Modeling 58
- Pharmacology 95
Countries citing papers authored by Ling Jin
This map shows the geographic impact of Ling 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 Ling Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Jin more than expected).
Fields of papers citing papers by Ling Jin
This network shows the impact of papers produced by Ling 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 Ling Jin. The network helps show where Ling Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Jin, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2015 | 95 | |
| 3 | 1996 | 94 | |
| 4 | 2013 | 72 | |
| 5 | 2015 | 63 | |
| 6 | 2014 | 55 | |
| 7 | 2021 | 55 | |
| 8 | 2013 | 53 | |
| 9 | 2014 | 52 | |
| 10 | 2019 | 41 | |
| 11 | 2017 | 38 | |
| 12 | 2020 | 34 | |
| 13 | 2022 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2014 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 2021 | 29 | |
| 18 | 2021 | 29 | |
| 19 | 2021 | 26 | |
| 20 | 2020 | 24 |
About Ling Jin
Ling Jin is a scholar working on Molecular Biology, Plant Science, Complementary and alternative medicine, Pharmacology and Food Science, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (15 papers), Phytochemistry and Biological Activities (11 papers), Food Quality and Safety Studies (7 papers), Plant Gene Expression Analysis (7 papers), Alcohol Consumption and Health Effects (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Remote Sensing and Land Use (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Complementary and alternative medicine (143 citations), Pharmaceutical Science (113 citations), Molecular Medicine (77 citations), Ecological Modeling (58 citations) and Pharmacology (95 citations). Ling Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yingdong Li, Xiaohui Ma, Juan Chen, Shuai Shi, Zichao Luo, Xingyi Li, Yan‐Ping Shi, Jing Yu, Hao Chen and Mengfei Li. Their work appears in journals such as Industrial Crops and Products, Chinese Journal of Natural Medicines, Scientific Reports, Heliyon and Frontiers in Plant 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.