Jin Guan
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Pharmacology top 10%
- Fungal Biology and Applications
Papers in
- Spectroscopy 15
- Analytical Chemistry and Chromatography 14
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- Steroid Chemistry and Biochemistry 3
- Co-authors
- Shaoping Li (4 shared papers)Feng Yang (1 shared paper)Chang‐Jiang‐Sheng Lai (1 shared paper)Weisan Pan (4 shared papers)Shufang Nie (2 shared papers)Hongtao Xu (2 shared papers)M.A. de Waard (7 shared papers)Xinggang Yang (1 shared paper)
- Journals
- Pesticide Biochemistry and Physiology (4 papers)European Journal of Plant Pathology (3 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Journal of Separation Science (2 papers)Talanta (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Jin Guan
48 papers receiving 811 citations
Peers
Comparison fields: 5 of 96
- Pharmaceutical Science 107
- Pharmacology 143
- Analytical Chemistry 84
- Complementary and alternative medicine 63
- Spectroscopy 136
Countries citing papers authored by Jin Guan
This map shows the geographic impact of Jin Guan'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 Jin Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Guan more than expected).
Fields of papers citing papers by Jin Guan
This network shows the impact of papers produced by Jin Guan. 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 Jin Guan. The network helps show where Jin Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Guan, 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 | 2007 | 135 | |
| 2 | 2007 | 91 | |
| 3 | 2009 | 88 | |
| 4 | 2009 | 68 | |
| 5 | 2011 | 40 | |
| 6 | 2009 | 37 | |
| 7 | 2020 | 34 | |
| 8 | 2021 | 29 | |
| 9 | 2022 | 20 | |
| 10 | 2009 | 20 | |
| 11 | 2009 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 1992 | 15 | |
| 15 | 2009 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 1989 | 13 | |
| 18 | 1992 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2018 | 10 |
About Jin Guan
Jin Guan is a scholar working on Spectroscopy, Molecular Biology, Plant Science, Pharmacology and Materials Chemistry, having authored 48 papers that have together received 841 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (14 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Fungal Biology and Applications (5 papers), Analytical Methods in Pharmaceuticals (5 papers), Covalent Organic Framework Applications (4 papers), Fungal Plant Pathogen Control (4 papers), Plant Molecular Biology Research (3 papers) and Steroid Chemistry and Biochemistry (3 papers). The work is most often cited by research in Pharmaceutical Science (107 citations), Pharmacology (143 citations), Analytical Chemistry (84 citations), Complementary and alternative medicine (63 citations) and Spectroscopy (136 citations). Jin Guan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Shaoping Li, Feng Yang, Chang‐Jiang‐Sheng Lai, Weisan Pan, Shufang Nie, Hongtao Xu, M.A. de Waard, Xinggang Yang, A. Kerkenaar and Xiaoning Zhang. Their work appears in journals such as Pesticide Biochemistry and Physiology, European Journal of Plant Pathology, Journal of Pharmaceutical and Biomedical Analysis, Journal of Separation Science and Talanta.
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.