Guo Ma
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Pharmacological Effects of Natural Compounds
Papers in
- Pharmacology 10
- Pharmacogenetics and Drug Metabolism 5
- Pharmacological Effects of Natural Compounds 4
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- Diabetes Treatment and Management 9
- Co-authors
- Weimin Cai (18 shared papers)Xuan Huang (2 shared papers)Xiaoqiang Xiang (6 shared papers)Hong Sun (3 shared papers)Xuehua Jiang (4 shared papers)Ruifang Guan (5 shared papers)Qing Yang (3 shared papers)Hai‐Shu Lin (2 shared papers)
- Journals
- Frontiers in Pharmacology (6 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Xenobiotica (3 papers)Drug Metabolism and Disposition (2 papers)Biomedical Chromatography (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Guo Ma
49 papers receiving 647 citations
Peers
Comparison fields: 5 of 113
- Pharmacology 111
- Applied Microbiology and Biotechnology 15
- Transplantation 16
- Pharmacology 76
- Biological Psychiatry 11
Countries citing papers authored by Guo Ma
This map shows the geographic impact of Guo Ma'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 Guo Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Ma more than expected).
Fields of papers citing papers by Guo Ma
This network shows the impact of papers produced by Guo Ma. 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 Guo Ma. The network helps show where Guo Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo Ma, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2017 | 46 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 45 | |
| 5 | 2013 | 44 | |
| 6 | 2011 | 38 | |
| 7 | 2014 | 34 | |
| 8 | 2007 | 34 | |
| 9 | 2019 | 28 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2008 | 17 | |
| 14 | 2013 | 16 | |
| 15 | 2010 | 16 | |
| 16 | 2013 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2011 | 9 | |
| 20 | 2011 | 9 |
About Guo Ma
Guo Ma is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Oncology, Pharmacology and Complementary and alternative medicine, having authored 53 papers that have together received 661 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Chromatography in Natural Products (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Pharmacology (111 citations), Applied Microbiology and Biotechnology (15 citations), Transplantation (16 citations), Pharmacology (76 citations) and Biological Psychiatry (11 citations). Guo Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weimin Cai, Xuan Huang, Xiaoqiang Xiang, Hong Sun, Xuehua Jiang, Ruifang Guan, Qing Yang, Hai‐Shu Lin, Taiming Liu and Bo Tan. Their work appears in journals such as Frontiers in Pharmacology, Journal of Pharmaceutical and Biomedical Analysis, Xenobiotica, Drug Metabolism and Disposition and Biomedical Chromatography.
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.