Lin Yuan
Impact in
-
- Mesenchymal stem cell research
- Venomous Animal Envenomation and Studies
Papers in
- Surgery 10
- Pancreatic function and diabetes 4
- Co-authors
- Gary E. Means (2 shared papers)Robert E. Feeney (2 shared papers)Guanbin Song (6 shared papers)Masaaki Sato (3 shared papers)Naoya Sakamoto (3 shared papers)Pingyong Xu (7 shared papers)Maoyu Wang (1 shared paper)Zitao Zhang (1 shared paper)
- Journals
- Stem Cells and Development (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)Biological Chemistry (1 paper)Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Yuan
37 papers receiving 809 citations
Peers
Comparison fields: 5 of 124
- Genetics 76
- Developmental Neuroscience 27
- Biotechnology 53
- Cell Biology 99
- Molecular Biology 365
Countries citing papers authored by Lin Yuan
This map shows the geographic impact of Lin Yuan'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 Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yuan more than expected).
Fields of papers citing papers by Lin Yuan
This network shows the impact of papers produced by Lin Yuan. 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 Yuan. The network helps show where Lin Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Yuan, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The action of proteolytic enzymes on N,N-dimethyl proteins. Basis for a microassay for proteolytic enzymes. | 1969 | 257 |
| 2 | 2013 | 61 | |
| 3 | 2016 | 56 | |
| 4 | 2018 | 54 | |
| 5 | 2021 | 51 | |
| 6 | 2010 | 49 | |
| 7 | 2010 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2013 | 32 | |
| 10 | 2019 | 31 | |
| 11 | 2012 | 29 | |
| 12 | 2013 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 13 | |
| 16 | E7 peptide-functionalized Ti6Al4V alloy for BMSC enrichment in bone tissue engineering. | 2018 | 13 |
| 17 | 2021 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2020 | 8 |
About Lin Yuan
Lin Yuan is a scholar working on Molecular Biology, Surgery, Genetics, Epidemiology and Cell Biology, having authored 42 papers that have together received 853 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Pancreatic function and diabetes (4 papers), Wound Healing and Treatments (3 papers), Autophagy in Disease and Therapy (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Genetic factors in colorectal cancer (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Genetics (76 citations), Developmental Neuroscience (27 citations), Biotechnology (53 citations), Cell Biology (99 citations) and Molecular Biology (365 citations). Lin Yuan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gary E. Means, Robert E. Feeney, Guanbin Song, Masaaki Sato, Naoya Sakamoto, Pingyong Xu, Maoyu Wang, Zitao Zhang, Shi Wang and Wenting He. Their work appears in journals such as Stem Cells and Development, Scientific Reports, Nature Communications, Biological Chemistry and Carcinogenesis.
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.