Ming Liu
Impact in
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease
-
- Diabetes Treatment and Management
- Diabetes Management and Research
Papers in
-
- Diabetes Treatment and Management 24
- Diabetes Management and Research 16
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Cell Biology 51
- Endoplasmic Reticulum Stress and Disease 48
- Co-authors
- Peter ArvanLeena HaatajaJinhong SunJ. J. WrightIsrael HodishMichael A. WeissQing HeJingqiu Cui
- Journals
- Journal of Biological Chemistry (20 papers)Diabetes (12 papers)Diabetes Obesity and Metabolism (11 papers)Frontiers in Endocrinology (11 papers)Journal of Clinical Investigation (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Liu
244 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Cell Biology 1.5k
- Endocrinology, Diabetes and Metabolism 1.3k
- Surgery 2.6k
- Physiology 240
- Genetics 1.2k
Countries citing papers authored by Ming Liu
This map shows the geographic impact of Ming Liu'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 Ming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Liu more than expected).
Fields of papers citing papers by Ming Liu
This network shows the impact of papers produced by Ming Liu. 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 Ming Liu. The network helps show where Ming Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Liu, 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 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 46 | |
| 10 | 2020 | 26 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 50 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 68 | |
| 16 | 2018 | 144 | |
| 17 | 2018 | 65 | |
| 18 | 2013 | 2 | |
| 19 | 2010 | 39 | |
| 20 | 2008 | 179 |
About Ming Liu
Ming Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Surgery, Physiology and Obstetrics and Gynecology, having authored 259 papers that have together received 6.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (70 papers), Endoplasmic Reticulum Stress and Disease (48 papers), Diabetes Treatment and Management (24 papers), Diabetes and associated disorders (23 papers), Metabolism, Diabetes, and Cancer (22 papers), Diabetes Management and Research (16 papers), Pharmacology and Obesity Treatment (11 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Cell Biology (1.5k citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Surgery (2.6k citations), Physiology (240 citations) and Genetics (1.2k citations). Ming Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter Arvan, Leena Haataja, Jinhong Sun, J. J. Wright, Israel Hodish, Michael A. Weiss, Qing He, Jingqiu Cui, Fabrizio Barbetti and Roberto Lara‐Lemus. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Diabetes Obesity and Metabolism, Frontiers in Endocrinology 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.