Min Long
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics, phytochemicals, and oxidative stress 6
- Ubiquitin and proteasome pathways 5
- Epidemiology 13
- Fungal Infections and Studies 7
- Co-authors
- Hongting Zheng (17 shared papers)Limin Zheng (2 shared papers)Olle Stendahl (2 shared papers)Huizhong Zhang (14 shared papers)Donna D. Zhang (6 shared papers)Pak Kin Wong (5 shared papers)Lin Fang (8 shared papers)Donna D. Zhang (4 shared papers)
- Journals
- Diabetes (5 papers)International Journal of Infectious Diseases (4 papers)Cellular Signalling (3 papers)Planta Medica (2 papers)Experimental and Clinical Endocrinology & Diabetes (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Min Long
103 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 148
- Rehabilitation 170
- Cancer Research 371
- Immunology 420
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 237
Countries citing papers authored by Min Long
This map shows the geographic impact of Min Long'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 Min Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Long more than expected).
Fields of papers citing papers by Min Long
This network shows the impact of papers produced by Min Long. 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 Min Long. The network helps show where Min Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Long, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 262 | |
| 2 | 2016 | 247 | |
| 3 | 2015 | 215 | |
| 4 | 2002 | 170 | |
| 5 | 2004 | 113 | |
| 6 | 2018 | 110 | |
| 7 | 2015 | 96 | |
| 8 | 2011 | 93 | |
| 9 | 2016 | 88 | |
| 10 | 2017 | 82 | |
| 11 | 2015 | 78 | |
| 12 | 2017 | 72 | |
| 13 | 2015 | 70 | |
| 14 | 2018 | 65 | |
| 15 | 2011 | 60 | |
| 16 | 2016 | 58 | |
| 17 | 2013 | 58 | |
| 18 | 2017 | 55 | |
| 19 | 2009 | 54 | |
| 20 | 2012 | 51 |
About Min Long
Min Long is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Oncology and Biomedical Engineering, having authored 110 papers that have together received 3.2k indexed citations. Recurring topics across this work include Fungal Infections and Studies (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Ubiquitin and proteasome pathways (5 papers), Ovarian function and disorders (5 papers), Cancer-related Molecular Pathways (4 papers), Advanced Photocatalysis Techniques (3 papers), Pancreatic function and diabetes (3 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Rehabilitation (170 citations), Cancer Research (371 citations), Immunology (420 citations), Molecular Biology (1.2k citations) and Endocrinology, Diabetes and Metabolism (237 citations). Min Long has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Hongting Zheng, Limin Zheng, Olle Stendahl, Huizhong Zhang, Donna D. Zhang, Pak Kin Wong, Lin Fang, Donna D. Zhang, Ke Dong and Georg T. Wondrak. Their work appears in journals such as Diabetes, International Journal of Infectious Diseases, Cellular Signalling, Planta Medica and Experimental and Clinical Endocrinology & Diabetes.
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.