Jingxin Mo
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
-
- Graphene and Nanomaterials Applications 8
- Nanoplatforms for cancer theranostics 5
- 3D Printing in Biomedical Research 3
- Oncology 9
- Cancer Cells and Metastasis 6
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Lee Yong Lim (12 shared papers)Zhixiang Yuan (4 shared papers)Wei Zhao (5 shared papers)Qinghua Li (3 shared papers)Colin L. Raston (5 shared papers)Paul K. Eggers (4 shared papers)Honglian Dai (1 shared paper)Binbin Li (1 shared paper)
- Journals
- Frontiers in Pharmacology (9 papers)Frontiers in Bioengineering and Biotechnology (2 papers)Drug Delivery (2 papers)Scientific Reports (2 papers)Pharmaceuticals (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jingxin Mo
31 papers receiving 916 citations
Peers
Comparison fields: 5 of 98
- Biomaterials 236
- Molecular Medicine 51
- Pharmaceutical Science 59
- Oncology 178
- Cancer Research 86
Countries citing papers authored by Jingxin Mo
This map shows the geographic impact of Jingxin 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 Jingxin Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingxin Mo more than expected).
Fields of papers citing papers by Jingxin Mo
This network shows the impact of papers produced by Jingxin 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 Jingxin Mo. The network helps show where Jingxin Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingxin 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2016 | 68 | |
| 3 | 2016 | 62 | |
| 4 | 2016 | 53 | |
| 5 | 2017 | 49 | |
| 6 | 2016 | 49 | |
| 7 | 2019 | 48 | |
| 8 | 2017 | 47 | |
| 9 | 2021 | 47 | |
| 10 | 2017 | 43 | |
| 11 | 2020 | 35 | |
| 12 | 2015 | 34 | |
| 13 | 2015 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2016 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2019 | 24 | |
| 18 | 2022 | 23 | |
| 19 | 2022 | 19 | |
| 20 | 2011 | 18 |
About Jingxin Mo
Jingxin Mo is a scholar working on Biomedical Engineering, Oncology, Biomaterials, Molecular Biology and Materials Chemistry, having authored 32 papers that have together received 920 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Graphene and Nanomaterials Applications (8 papers), Cancer Cells and Metastasis (6 papers), Nanoplatforms for cancer theranostics (5 papers), RNA Interference and Gene Delivery (3 papers), Graphene research and applications (3 papers), 3D Printing in Biomedical Research (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Biomaterials (236 citations), Molecular Medicine (51 citations), Pharmaceutical Science (59 citations), Oncology (178 citations) and Cancer Research (86 citations). Jingxin Mo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lee Yong Lim, Zhixiang Yuan, Wei Zhao, Qinghua Li, Colin L. Raston, Paul K. Eggers, Honglian Dai, Binbin Li, Xiaojia Huang and Bing Lu. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Bioengineering and Biotechnology, Drug Delivery, Scientific Reports and Pharmaceuticals.
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.