De Ji
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in ⓘ
- Pharmacology 20
- Pharmacological Effects of Natural Compounds 14
-
- Traditional Chinese Medicine Analysis 13
- Co-authors
- Tulin Lu (33 shared papers)Chunqin Mao (41 shared papers)Lianlin Su (36 shared papers)Chenghao Fei (15 shared papers)Tulin Lu (17 shared papers)Ziyan Huang (5 shared papers)Min Hao (12 shared papers)Huangjin Tong (14 shared papers)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (5 papers)Journal of Ethnopharmacology (4 papers)Journal of Separation Science (4 papers)Frontiers in Pharmacology (4 papers)Molecules (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
De Ji
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Pharmacology 206
- Complementary and alternative medicine 182
- Analytical Chemistry 153
- Biological Psychiatry 32
- Molecular Medicine 57
Countries citing papers authored by De Ji
This map shows the geographic impact of De 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 De Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Ji more than expected).
Fields of papers citing papers by De Ji
This network shows the impact of papers produced by De 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 De Ji. The network helps show where De Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside De 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 72 | |
| 2 | 2021 | 55 | |
| 3 | 2023 | 54 | |
| 4 | 2017 | 54 | |
| 5 | 2017 | 50 | |
| 6 | 2021 | 47 | |
| 7 | 2019 | 42 | |
| 8 | 2016 | 38 | |
| 9 | 2012 | 37 | |
| 10 | 2020 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2023 | 29 | |
| 15 | 2022 | 28 | |
| 16 | 2015 | 24 | |
| 17 | 2013 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2020 | 18 |
About De Ji
De Ji is a scholar working on Pharmacology, Complementary and alternative medicine, Molecular Medicine, Biological Psychiatry and Analytical Chemistry, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (15 papers), Pharmacological Effects of Natural Compounds (14 papers), Traditional Chinese Medicine Analysis (13 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Phytochemical Studies and Bioactivities (9 papers), Analytical Chemistry and Chromatography (8 papers), Advanced Chemical Sensor Technologies (8 papers) and Ginseng Biological Effects and Applications (6 papers). The work is most often cited by research in Pharmacology (206 citations), Complementary and alternative medicine (182 citations), Analytical Chemistry (153 citations), Biological Psychiatry (32 citations) and Molecular Medicine (57 citations). De Ji has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Tulin Lu, Chunqin Mao, Lianlin Su, Chenghao Fei, Tulin Lu, Ziyan Huang, Min Hao, Huangjin Tong, Zhenhua Bian and Tulin Lu. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Ethnopharmacology, Journal of Separation Science, Frontiers in Pharmacology and Molecules.
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.