Shi‐Jing Mo
Impact in
- Nephrology top 10%
- Acute Kidney Injury Research
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
- Co-authors
- Xianghong Yang (12 shared papers)Ren-Hua Sun (12 shared papers)Yu Jia (4 shared papers)Jun Hong (9 shared papers)Bangchuan Hu (11 shared papers)Liang Xu (8 shared papers)Ziqiang Shao (7 shared papers)Jinghang Wu (1 shared paper)
- Journals
- Experimental Cell Research (3 papers)Biochemical and Biophysical Research Communications (2 papers)Theranostics (2 papers)International Journal of Biological Sciences (2 papers)Life Sciences (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Shi‐Jing Mo
30 papers receiving 591 citations
Peers
Comparison fields: 5 of 81
- Nephrology 62
- Cancer Research 106
- Critical Care and Intensive Care Medicine 25
- Immunology 93
- Developmental Neuroscience 15
Countries citing papers authored by Shi‐Jing Mo
This map shows the geographic impact of Shi‐Jing Mo'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 Shi‐Jing Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi‐Jing Mo more than expected).
Fields of papers citing papers by Shi‐Jing Mo
This network shows the impact of papers produced by Shi‐Jing Mo. 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 Shi‐Jing Mo. The network helps show where Shi‐Jing Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi‐Jing Mo, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2014 | 64 | |
| 3 | 2020 | 35 | |
| 4 | 2021 | 34 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2019 | 25 | |
| 11 | 2016 | 23 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2019 | 12 |
About Shi‐Jing Mo
Shi‐Jing Mo is a scholar working on Molecular Biology, Immunology, Cancer Research, Nephrology and Epidemiology, having authored 30 papers that have together received 596 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), NF-κB Signaling Pathways (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Erythropoietin and Anemia Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Vitamin C and Antioxidants Research (2 papers) and Chemical Synthesis and Characterization (2 papers). The work is most often cited by research in Nephrology (62 citations), Cancer Research (106 citations), Critical Care and Intensive Care Medicine (25 citations), Immunology (93 citations) and Developmental Neuroscience (15 citations). Shi‐Jing Mo has collaborated with scholars based in China and United States. Frequent co-authors include Xianghong Yang, Ren-Hua Sun, Yu Jia, Jun Hong, Bangchuan Hu, Liang Xu, Ziqiang Shao, Jinghang Wu, Lin Jin and Qing Jiang. Their work appears in journals such as Experimental Cell Research, Biochemical and Biophysical Research Communications, Theranostics, International Journal of Biological Sciences and Life Sciences.
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.