Tao Ma
- Ophthalmology top 2%
- Retinal Diseases and Treatments 8
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 6
- Genetics top 5%
- Mesenchymal stem cell research 11
- Urology top 5%
- Periodontal Regeneration and Treatments 7
- Molecular Biology top 10%
- Bone Metabolism and Diseases 8
-
- Lipid metabolism and disorders 10
-
- Bone and Dental Protein Studies 6
-
- Viral-associated cancers and disorders 5
- Co-authors
- Meenakshi A. ChellaiahSilvia MontanerAkrit SodhiAbraham SchneiderSavalan Babapoor-FarrokhranGregg L. SemenzaJiadi HuFrancesca‐Fang Liao
- Cited by
- OphthalmologyCancer ResearchGenetics
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Tao Ma
67 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 131
- Ophthalmology 252
- Cancer Research 386
- Genetics 269
- Urology 113
- Molecular Biology 934
Countries citing papers authored by Tao Ma
This map shows the geographic impact of Tao 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 Tao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Ma more than expected).
Fields of papers citing papers by Tao Ma
This network shows the impact of papers produced by Tao 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 Tao Ma. The network helps show where Tao Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 2 | |
| 6 | ANGPTL4 and VEGF cooperate to promote diabetic macular edema. | 2020 | 1 |
| 7 | 2020 | 9 | |
| 8 | 2020 | 22 | |
| 9 | 2019 | 71 | |
| 10 | 2018 | 41 | |
| 11 | 2018 | 19 | |
| 12 | 2018 | 24 | |
| 13 | 2016 | 67 | |
| 14 | 2016 | 79 | |
| 15 | 2011 | 32 | |
| 16 | 2010 | 87 | |
| 17 | 2010 | 48 | |
| 18 | 2009 | 58 | |
| 19 | 2008 | 69 | |
| 20 | 2007 | 59 |
About Tao Ma
Tao Ma is a scholar working on Cancer Research, Ophthalmology and Urology, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Lipid metabolism and disorders (10 papers), Retinal Diseases and Treatments (8 papers), Bone Metabolism and Diseases (8 papers), Periodontal Regeneration and Treatments (7 papers), Protease and Inhibitor Mechanisms (6 papers), Bone and Dental Protein Studies (6 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Ophthalmology (252 citations), Cancer Research (386 citations) and Genetics (269 citations). Tao Ma has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Meenakshi A. Chellaiah, Silvia Montaner, Akrit Sodhi, Abraham Schneider, Savalan Babapoor-Farrokhran, Gregg L. Semenza, Jiadi Hu, Francesca‐Fang Liao, Laura Gasparini and Zhijun Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.