Junli Ma
Impact in
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- Vitamin D Research Studies
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
-
- Vitamin D Research Studies 5
- Genetic factors in colorectal cancer 3
- Co-authors
- Shan Zeng (9 shared papers)Hong Shen (7 shared papers)Masaki Nakane (5 shared papers)Xiaoan Ruan (3 shared papers)Jinshyun R. Wu‐Wong (3 shared papers)Paul E. Kroeger (3 shared papers)Cao Guo (5 shared papers)Ganlu Deng (5 shared papers)
- Journals
- Scientific Reports (2 papers)Medicine (2 papers)Metabolism (1 paper)Journal of Cellular Biochemistry (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junli Ma
26 papers receiving 896 citations
Peers
Comparison fields: 5 of 89
- Pathology and Forensic Medicine 259
- Nephrology 88
- Cancer Research 152
- Oncology 203
- Orthopedics and Sports Medicine 64
Countries citing papers authored by Junli Ma
This map shows the geographic impact of Junli 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 Junli Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Ma more than expected).
Fields of papers citing papers by Junli Ma
This network shows the impact of papers produced by Junli 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 Junli Ma. The network helps show where Junli Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 162 | |
| 2 | 2005 | 139 | |
| 3 | 2017 | 64 | |
| 4 | 2015 | 50 | |
| 5 | 2020 | 49 | |
| 6 | 2008 | 45 | |
| 7 | 2009 | 43 | |
| 8 | 2017 | 41 | |
| 9 | 2015 | 40 | |
| 10 | 2016 | 38 | |
| 11 | 2006 | 35 | |
| 12 | 2017 | 31 | |
| 13 | 2022 | 27 | |
| 14 | 2021 | 27 | |
| 15 | 2016 | 26 | |
| 16 | 2022 | 20 | |
| 17 | 2015 | 15 | |
| 18 | 2022 | 13 | |
| 19 | 2006 | 13 | |
| 20 | 2007 | 13 |
About Junli Ma
Junli Ma is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Surgery, having authored 28 papers that have together received 912 indexed citations. Recurring topics across this work include Vitamin D Research Studies (5 papers), Cancer Cells and Metastasis (4 papers), Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Parathyroid Disorders and Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (259 citations), Nephrology (88 citations), Cancer Research (152 citations), Oncology (203 citations) and Orthopedics and Sports Medicine (64 citations). Junli Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shan Zeng, Hong Shen, Masaki Nakane, Xiaoan Ruan, Jinshyun R. Wu‐Wong, Paul E. Kroeger, Cao Guo, Ganlu Deng, Jing Shi and Limin Ma. Their work appears in journals such as Scientific Reports, Medicine, Metabolism, Journal of Cellular Biochemistry and Cell Death and Disease.
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.