Jiali Ma
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
-
- Diabetes Treatment and Management
- Diabetes Management and Research
Papers in
- Hepatology 13
- Liver Disease and Transplantation 9
- Liver physiology and pathology 3
- Liver Diseases and Immunity 2
-
- Liver Disease Diagnosis and Treatment 3
- Respiratory viral infections research 2
- Co-authors
- Jue Wei (3 shared papers)Yugang Wang (2 shared papers)Min Shi (2 shared papers)Ajay Kumar (1 shared paper)Wenying Yang (1 shared paper)Nikhil Tandon (1 shared paper)Ole Molskov Bech (1 shared paper)Kun‐Ho Yoon (1 shared paper)
- Journals
- Journal of Magnetic Resonance Imaging (2 papers)Frontiers in Immunology (2 papers)Advanced Optical Materials (1 paper)Tissue Engineering Part C Methods (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiali Ma
39 papers receiving 357 citations
Peers
Comparison fields: 5 of 76
- Hepatology 65
- Endocrinology, Diabetes and Metabolism 76
- Immunology 72
- Epidemiology 70
- Molecular Biology 72
Countries citing papers authored by Jiali Ma
This map shows the geographic impact of Jiali 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 Jiali Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiali Ma more than expected).
Fields of papers citing papers by Jiali Ma
This network shows the impact of papers produced by Jiali 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 Jiali Ma. The network helps show where Jiali Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiali 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 80 | |
| 2 | 2023 | 46 | |
| 3 | 2014 | 38 | |
| 4 | 2013 | 36 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 18 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | [A noninvasive diagnostic model of liver fibrosis using serum markers in primary biliary cirrhosis]. | 2012 | 4 |
About Jiali Ma
Jiali Ma is a scholar working on Hepatology, Epidemiology, Molecular Biology, Biomedical Engineering and Atmospheric Science, having authored 49 papers that have together received 370 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Atmospheric chemistry and aerosols (2 papers), Respiratory viral infections research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Orthopedic Infections and Treatments (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Hepatology (65 citations), Endocrinology, Diabetes and Metabolism (76 citations), Immunology (72 citations), Epidemiology (70 citations) and Molecular Biology (72 citations). Jiali Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jue Wei, Yugang Wang, Min Shi, Ajay Kumar, Wenying Yang, Nikhil Tandon, Ole Molskov Bech, Kun‐Ho Yoon, Marcin Zychma and Hongshan Wei. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Frontiers in Immunology, Advanced Optical Materials, Tissue Engineering Part C Methods and Gene.
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.