Ming Shen
Impact in
-
- Pituitary Gland Disorders and Treatments
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Pituitary Gland Disorders and Treatments 45
- Biomaterials 23
- Nanoparticle-Based Drug Delivery 21
- Co-authors
- Yourong Duan (21 shared papers)Ying Sun (18 shared papers)Yourong Duan (11 shared papers)Xingjun Guo (13 shared papers)King H. Yang (13 shared papers)Chengjian Shi (13 shared papers)Renyi Qin (11 shared papers)Feng Zhu (9 shared papers)
- Journals
- Oncotarget (10 papers)Clinical Neurology and Neurosurgery (5 papers)ACS Applied Materials & Interfaces (4 papers)SAE technical papers on CD-ROM/SAE technical paper series (4 papers)Pituitary (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Shen
172 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 125
- Endocrinology, Diabetes and Metabolism 905
- Biomaterials 628
- Molecular Medicine 154
- Oncology 519
- Cancer Research 303
Countries citing papers authored by Ming Shen
This map shows the geographic impact of Ming Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Shen more than expected).
Fields of papers citing papers by Ming Shen
This network shows the impact of papers produced by Ming Shen. 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 Shen. The network helps show where Ming Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Shen, 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 288 | |
| 2 | 2013 | 185 | |
| 3 | 2018 | 119 | |
| 4 | 2014 | 116 | |
| 5 | 2019 | 112 | |
| 6 | 2019 | 102 | |
| 7 | 2014 | 96 | |
| 8 | 2012 | 90 | |
| 9 | 2016 | 90 | |
| 10 | 2013 | 88 | |
| 11 | 2012 | 87 | |
| 12 | 2016 | 79 | |
| 13 | 2017 | 77 | |
| 14 | 2010 | 75 | |
| 15 | 2019 | 73 | |
| 16 | 2019 | 66 | |
| 17 | 2017 | 65 | |
| 18 | 2017 | 65 | |
| 19 | 2016 | 59 | |
| 20 | 2016 | 59 |
About Ming Shen
Ming Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Biomaterials, Oncology, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 178 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (45 papers), Nanoparticle-Based Drug Delivery (21 papers), Automotive and Human Injury Biomechanics (16 papers), Pancreatic and Hepatic Oncology Research (13 papers), Hydrogels: synthesis, properties, applications (8 papers), Mesenchymal stem cell research (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers) and Dental Implant Techniques and Outcomes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (905 citations), Biomaterials (628 citations), Molecular Medicine (154 citations), Oncology (519 citations) and Cancer Research (303 citations). Ming Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yourong Duan, Ying Sun, Yourong Duan, Xingjun Guo, King H. Yang, Chengjian Shi, Renyi Qin, Feng Zhu, Xin Jin and Xuefei Shou. Their work appears in journals such as Oncotarget, Clinical Neurology and Neurosurgery, ACS Applied Materials & Interfaces, SAE technical papers on CD-ROM/SAE technical paper series and Pituitary.
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.