Lin Yang
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Cell Biology top 5%
- melanin and skin pigmentation
Papers in
-
- Epigenetics and DNA Methylation 5
- Renal and related cancers 5
- Advanced biosensing and bioanalysis techniques 5
- Cell Biology 23
- Microtubule and mitosis dynamics 8
- melanin and skin pigmentation 7
- Cellular transport and secretion 6
- Co-authors
- Zhuo Chen (1 shared paper)Dong M. Shin (1 shared paper)X. Wang (1 shared paper)Mark D. Minden (4 shared papers)Youqi Han (3 shared papers)Fei Gao (5 shared papers)Weixiao Liu (3 shared papers)Wei Li (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Cell Research (3 papers)Pigment Cell & Melanoma Research (3 papers)Autophagy (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lin Yang
95 papers receiving 3.0k citations
Lin Yang's Hit Papers
Peers
Comparison fields: 5 of 126
- Reproductive Medicine 250
- Cell Biology 408
- Biomaterials 320
- Molecular Biology 1.4k
- Hematology 161
Countries citing papers authored by Lin Yang
This map shows the geographic impact of Lin 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 Lin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yang more than expected).
Fields of papers citing papers by Lin Yang
This network shows the impact of papers produced by Lin 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 Lin Yang. The network helps show where Lin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Application of Nanotechnology in Cancer Therapy and Imaging Hit paper breakdown → | 2008 | 539 |
| 2 | 2007 | 373 | |
| 3 | 2014 | 212 | |
| 4 | 2016 | 113 | |
| 5 | 2016 | 113 | |
| 6 | 2010 | 105 | |
| 7 | 2013 | 91 | |
| 8 | 2020 | 76 | |
| 9 | 2015 | 70 | |
| 10 | 2005 | 54 | |
| 11 | 2016 | 53 | |
| 12 | 2017 | 50 | |
| 13 | 2014 | 45 | |
| 14 | 2018 | 45 | |
| 15 | 2021 | 45 | |
| 16 | 2018 | 43 | |
| 17 | 2012 | 38 | |
| 18 | 2012 | 38 | |
| 19 | 1977 | 37 | |
| 20 | 2016 | 37 |
About Lin Yang
Lin Yang is a scholar working on Molecular Biology, Cell Biology, Oncology, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (9 papers), Microtubule and mitosis dynamics (8 papers), melanin and skin pigmentation (7 papers), Cellular transport and secretion (6 papers), Epigenetics and DNA Methylation (5 papers), Traditional Chinese Medicine Analysis (5 papers), Renal and related cancers (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Reproductive Medicine (250 citations), Cell Biology (408 citations), Biomaterials (320 citations), Molecular Biology (1.4k citations) and Hematology (161 citations). Lin Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhuo Chen, Dong M. Shin, X. Wang, Mark D. Minden, Youqi Han, Fei Gao, Weixiao Liu, Wei Li, Yaqing Wang and Aihua Wei. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Research, Pigment Cell & Melanoma Research, Autophagy and Oncotarget.
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.