Lingli Yang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Dermatology top 2%
- Dermatology and Skin Diseases
Papers in
- Cell Biology 16
- melanin and skin pigmentation 16
- Dermatology 13
- Dermatology and Skin Diseases 8
- Skin Protection and Aging 6
- Co-authors
- Ichiro Katayama (31 shared papers)Hiroyuki Murota (13 shared papers)Fei Yang (12 shared papers)Tetsuji Naka (8 shared papers)Minoru Fujimoto (8 shared papers)Satoshi Serada (8 shared papers)Yorihisa Kotobuki (5 shared papers)Atsushi Tanemura (5 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Journal of Investigative Dermatology (3 papers)Pigment Cell & Melanoma Research (3 papers)Bioscience Biotechnology and Biochemistry (2 papers)Scientific Reports (2 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Lingli Yang
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Biological Psychiatry 88
- Dermatology 199
- Cell Biology 274
- Immunology and Allergy 92
- Neurology 105
Countries citing papers authored by Lingli Yang
This map shows the geographic impact of Lingli 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 Lingli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli Yang more than expected).
Fields of papers citing papers by Lingli Yang
This network shows the impact of papers produced by Lingli 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 Lingli Yang. The network helps show where Lingli Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingli 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 124 | |
| 2 | 2012 | 104 | |
| 3 | 2012 | 96 | |
| 4 | 2021 | 96 | |
| 5 | 2010 | 77 | |
| 6 | 2010 | 77 | |
| 7 | 2016 | 73 | |
| 8 | 2020 | 51 | |
| 9 | 2014 | 46 | |
| 10 | 2015 | 45 | |
| 11 | 2017 | 41 | |
| 12 | 2020 | 41 | |
| 13 | 2014 | 39 | |
| 14 | 2015 | 37 | |
| 15 | 2013 | 34 | |
| 16 | 2014 | 33 | |
| 17 | 2013 | 32 | |
| 18 | 2010 | 30 | |
| 19 | 2020 | 29 | |
| 20 | 2014 | 28 |
About Lingli Yang
Lingli Yang is a scholar working on Cell Biology, Dermatology, Molecular Biology, Immunology and Allergy and Immunology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include melanin and skin pigmentation (16 papers), Dermatology and Skin Diseases (8 papers), Skin Protection and Aging (6 papers), Cell Adhesion Molecules Research (5 papers), Systemic Sclerosis and Related Diseases (4 papers), Asthma and respiratory diseases (3 papers), Long-Term Effects of COVID-19 (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Biological Psychiatry (88 citations), Dermatology (199 citations), Cell Biology (274 citations), Immunology and Allergy (92 citations) and Neurology (105 citations). Lingli Yang has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Ichiro Katayama, Hiroyuki Murota, Fei Yang, Tetsuji Naka, Minoru Fujimoto, Satoshi Serada, Yorihisa Kotobuki, Atsushi Tanemura, Mari Wataya‐Kaneda and Lingjiang Li. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Investigative Dermatology, Pigment Cell & Melanoma Research, Bioscience Biotechnology and Biochemistry and Scientific Reports.
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.