Taotao Ma
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 5
- Hepatology 15
- Liver physiology and pathology 15
- Co-authors
- Xiao‐Ming Meng (37 shared papers)Cheng Huang (26 shared papers)Jun Li (26 shared papers)Cheng Zhi Huang (13 shared papers)Xiongwen Lv (13 shared papers)Yong He (6 shared papers)Cheng Huang (12 shared papers)Erbao Bian (5 shared papers)
- Journals
- International Immunopharmacology (6 papers)Cellular Signalling (5 papers)Toxicology and Applied Pharmacology (4 papers)Phytomedicine (3 papers)The FASEB Journal (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Taotao Ma
78 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 124
- Hepatology 322
- Cancer Research 614
- Nephrology 284
- Molecular Biology 1.4k
- Pharmacology 159
Countries citing papers authored by Taotao Ma
This map shows the geographic impact of Taotao 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 Taotao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taotao Ma more than expected).
Fields of papers citing papers by Taotao Ma
This network shows the impact of papers produced by Taotao 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 Taotao Ma. The network helps show where Taotao Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Taotao 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2016 | 141 | |
| 3 | 2014 | 140 | |
| 4 | 2021 | 128 | |
| 5 | 2012 | 115 | |
| 6 | 2013 | 109 | |
| 7 | 2014 | 97 | |
| 8 | 2018 | 94 | |
| 9 | 2011 | 91 | |
| 10 | 2013 | 81 | |
| 11 | 2016 | 81 | |
| 12 | 2017 | 78 | |
| 13 | 2011 | 77 | |
| 14 | 2020 | 72 | |
| 15 | 2019 | 69 | |
| 16 | 2013 | 69 | |
| 17 | 2013 | 58 | |
| 18 | 2014 | 56 | |
| 19 | 2019 | 50 | |
| 20 | 2014 | 49 |
About Taotao Ma
Taotao Ma is a scholar working on Molecular Biology, Hepatology, Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 79 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (15 papers), Liver Disease Diagnosis and Treatment (11 papers), Chemotherapy-induced organ toxicity mitigation (7 papers), MicroRNA in disease regulation (7 papers), Chronic Kidney Disease and Diabetes (5 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (5 papers) and Alcohol Consumption and Health Effects (5 papers). The work is most often cited by research in Hepatology (322 citations), Cancer Research (614 citations), Nephrology (284 citations), Molecular Biology (1.4k citations) and Pharmacology (159 citations). Taotao Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiao‐Ming Meng, Cheng Huang, Jun Li, Cheng Zhi Huang, Xiongwen Lv, Yong He, Cheng Huang, Erbao Bian, Zhaolin Chen and Jun Li. Their work appears in journals such as International Immunopharmacology, Cellular Signalling, Toxicology and Applied Pharmacology, Phytomedicine and The FASEB Journal.
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.