Mingming Liu
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Parasitology 15
- Vector-borne infectious diseases 11
- Toxoplasma gondii Research Studies 5
- Nephrology 14
- Co-authors
- Song Chen (1 shared paper)Lin Lü (1 shared paper)Yuping Cao (1 shared paper)Zhang Py (1 shared paper)Bingwei Li (21 shared papers)Ruijuan Xiu (18 shared papers)Yuan‐Zheng Xia (3 shared papers)Li Cai (8 shared papers)
- Journals
- International Immunopharmacology (6 papers)Journal of Medicinal Chemistry (5 papers)BMC Plant Biology (4 papers)Oncotarget (3 papers)Parasites & Vectors (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Mingming Liu
221 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 148
- Nephrology 239
- Cancer Research 331
- Biological Psychiatry 54
- Parasitology 135
- Molecular Biology 1.2k
Countries citing papers authored by Mingming Liu
This map shows the geographic impact of Mingming 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 Mingming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Liu more than expected).
Fields of papers citing papers by Mingming Liu
This network shows the impact of papers produced by Mingming 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 Mingming Liu. The network helps show where Mingming Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming 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
Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cardiovascular disease and its relationship with chronic kidney disease. | 2014 | 206 |
| 2 | 2015 | 172 | |
| 3 | 2021 | 146 | |
| 4 | 2022 | 113 | |
| 5 | 2016 | 71 | |
| 6 | 2015 | 67 | |
| 7 | 2021 | 61 | |
| 8 | 2023 | 60 | |
| 9 | 2023 | 59 | |
| 10 | 2022 | 56 | |
| 11 | 2014 | 55 | |
| 12 | 2019 | 50 | |
| 13 | 2018 | 48 | |
| 14 | 2013 | 47 | |
| 15 | 2021 | 47 | |
| 16 | 2014 | 46 | |
| 17 | 2020 | 45 | |
| 18 | 2013 | 42 | |
| 19 | 2016 | 40 | |
| 20 | 2016 | 39 |
About Mingming Liu
Mingming Liu is a scholar working on Parasitology, Nephrology, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 228 papers that have together received 3.9k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (11 papers), Ginseng Biological Effects and Applications (9 papers), Plant Molecular Biology Research (7 papers), Viral Infections and Vectors (6 papers), Cancer-related molecular mechanisms research (5 papers), Toxoplasma gondii Research Studies (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Nephrology (239 citations), Cancer Research (331 citations), Biological Psychiatry (54 citations), Parasitology (135 citations) and Molecular Biology (1.2k citations). Mingming Liu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Song Chen, Lin Lü, Yuping Cao, Zhang Py, Bingwei Li, Ruijuan Xiu, Yuan‐Zheng Xia, Li Cai, Ruifang Dong and Jing Tan Bian. Their work appears in journals such as International Immunopharmacology, Journal of Medicinal Chemistry, BMC Plant Biology, Oncotarget and Parasites & Vectors.
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.