Longlong Yang
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Connective Tissue Growth Factor Research 2
- Connexins and lens biology 2
-
- Wound Healing and Treatments 9
- Co-authors
- Dahai Hu (10 shared papers)Linlin Su (8 shared papers)Xiaozhi Bai (7 shared papers)Lei Fan (5 shared papers)Zhao Zheng (5 shared papers)Jihong Shi (5 shared papers)Chao-wu Tang (3 shared papers)Qin Zhou (2 shared papers)
- Journals
- Journal of Molecular Histology (3 papers)Scientific Reports (2 papers)iScience (1 paper)Toxicology (1 paper)Shock (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Longlong Yang
24 papers receiving 569 citations
Peers
Comparison fields: 5 of 90
- Rehabilitation 157
- Geriatrics and Gerontology 46
- Genetics 76
- Cancer Research 100
- Dermatology 54
Countries citing papers authored by Longlong Yang
This map shows the geographic impact of Longlong Yang'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 Longlong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longlong Yang more than expected).
Fields of papers citing papers by Longlong Yang
This network shows the impact of papers produced by Longlong Yang. 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 Longlong Yang. The network helps show where Longlong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Longlong Yang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 54 | |
| 2 | 2016 | 53 | |
| 3 | 2017 | 52 | |
| 4 | 2014 | 44 | |
| 5 | 2015 | 43 | |
| 6 | 2015 | 41 | |
| 7 | 2016 | 40 | |
| 8 | 2016 | 40 | |
| 9 | 2014 | 38 | |
| 10 | 2017 | 27 | |
| 11 | 2015 | 25 | |
| 12 | 2011 | 24 | |
| 13 | 2020 | 17 | |
| 14 | 2014 | 16 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2015 | 11 | |
| 18 | 2013 | 9 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 3 |
About Longlong Yang
Longlong Yang is a scholar working on Molecular Biology, Rehabilitation, Genetics, Biomaterials and Epidemiology, having authored 24 papers that have together received 574 indexed citations. Recurring topics across this work include Wound Healing and Treatments (9 papers), Mesenchymal stem cell research (6 papers), Silk-based biomaterials and applications (4 papers), Dermatologic Treatments and Research (2 papers), Connective Tissue Growth Factor Research (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Rehabilitation (157 citations), Geriatrics and Gerontology (46 citations), Genetics (76 citations), Cancer Research (100 citations) and Dermatology (54 citations). Longlong Yang has collaborated with scholars based in China and United States. Frequent co-authors include Dahai Hu, Linlin Su, Xiaozhi Bai, Lei Fan, Zhao Zheng, Jihong Shi, Chao-wu Tang, Qin Zhou, Jianxin Gao and Ting He. Their work appears in journals such as Journal of Molecular Histology, Scientific Reports, iScience, Toxicology and Shock.
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.