An Chi Guo
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.1%
- Spectroscopy top 1%
- Pharmacology top 0.5%
- Physiology top 5%
- Co-authors
- David S. WishartCraig KnoxSavita ShrivastavaYannick Djoumbou-FeunangTimothy JewisonAllison PonRupasri MandalVanessa Neveu
- Topics
- Metabolomics and Mass Spectrometry Studies (18 papers)Gut microbiota and health (6 papers)Bioinformatics and Genomic Networks (5 papers)
In The Last Decade
An Chi Guo
35 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 5.2k
- Computational Theory and Mathematics 2.2k
- Spectroscopy 617
- Pharmacology 589
- Physiology 571
Countries citing papers authored by An Chi Guo
This map shows the geographic impact of An Chi Guo'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 An Chi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An Chi Guo more than expected).
Fields of papers citing papers by An Chi Guo
This network shows the impact of papers produced by An Chi Guo. 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 An Chi Guo. The network helps show where An Chi Guo may publish in the future.
Co-authorship network of co-authors of An Chi Guo
This figure shows the co-authorship network connecting the top 25 collaborators of An Chi Guo. A scholar is included among the top collaborators of An Chi Guo 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 An Chi Guo. An Chi Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 172 | |
| 6 | 192 | |
| 7 | 1 | |
| 8 | 122 | |
| 9 | 109 | |
| 10 | 309 | |
| 11 | 326 | |
| 12 | H_2O_2 Could Act as Root Source Signal to Mediate Stomatal Closure Induced by Salt Stress of Vicia faba L. | 1 |
| 13 | 128 | |
| 14 | 116 | |
| 15 | 147 | |
| 16 | 264 | |
| 17 | DrugBank: a knowledgebase for drugs, drug actions and drug targetsbreakdown → | 2156 |
| 18 | Calcium Modulate Plasma Membrane Potential and Absorbing K~+ in Responsive to Salt Stress in the Cell of Wheat Roots | 2 |
| 19 | 9 | |
| 20 | 19 |
About An Chi Guo
An Chi Guo is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Pharmacology and Rehabilitation, having authored 39 papers that have together received 7.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (18 papers), Gut microbiota and health (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Computational Theory and Mathematics (2.2k citations), Molecular Biology (5.2k citations) and Pharmacology (589 citations). An Chi Guo has collaborated with scholars based in Canada, China and Japan. Frequent co-authors include David S. Wishart, Craig Knox, Savita Shrivastava, Yannick Djoumbou-Feunang, Timothy Jewison, Allison Pon, Rupasri Mandal, Vanessa Neveu, Vivian Law and P. Liu. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.
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.