Shaomin Yan
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Congenital heart defects research
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
Papers in
-
- Machine Learning in Bioinformatics 36
- RNA and protein synthesis mechanisms 28
- Protein Structure and Dynamics 20
- vaccines and immunoinformatics approaches 9
- Epidemiology 47
- Influenza Virus Research Studies 43
- Co-authors
- Guang Wu (147 shared papers)Nicoletta Finato (5 shared papers)Rossana Bussani (2 shared papers)Piero Anversa (1 shared paper)Jan Kajstura (1 shared paper)Annarosa Leri (1 shared paper)Antonio Paolo Beltrami (1 shared paper)Carlo Alberto Beltrami (1 shared paper)
In The Last Decade
Shaomin Yan
140 papers receiving 2.2k citations
Shaomin Yan's Hit Papers
Peers
Comparison fields: 5 of 135
- Genetics 328
- Molecular Biology 1.6k
- Biomaterials 246
- Epidemiology 539
- Surgery 658
Countries citing papers authored by Shaomin Yan
This map shows the geographic impact of Shaomin Yan'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 Shaomin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaomin Yan more than expected).
Fields of papers citing papers by Shaomin Yan
This network shows the impact of papers produced by Shaomin Yan. 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 Shaomin Yan. The network helps show where Shaomin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaomin Yan, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evidence That Human Cardiac Myocytes Divide after Myocardial Infarction Hit paper breakdown → | 2001 | 1008 |
| 2 | 2019 | 80 | |
| 3 | Randomness in the Primary Structure of Protein: Methods and Implications | 2002 | 47 |
| 4 | 2008 | 38 | |
| 5 | 2006 | 36 | |
| 6 | 2013 | 36 | |
| 7 | 2017 | 34 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 28 | |
| 10 | 2020 | 28 | |
| 11 | 2006 | 27 | |
| 12 | 2020 | 26 | |
| 13 | 2008 | 24 | |
| 14 | 2007 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2004 | 21 | |
| 17 | 2004 | 19 | |
| 18 | 2001 | 19 | |
| 19 | 2002 | 19 | |
| 20 | 2000 | 19 |
About Shaomin Yan
Shaomin Yan is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Biotechnology, having authored 168 papers that have together received 2.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (43 papers), Machine Learning in Bioinformatics (36 papers), RNA and protein synthesis mechanisms (28 papers), Protein Structure and Dynamics (20 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Enzyme Production and Characterization (9 papers), Bacteriophages and microbial interactions (9 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Genetics (328 citations), Molecular Biology (1.6k citations), Biomaterials (246 citations), Epidemiology (539 citations) and Surgery (658 citations). Shaomin Yan has collaborated with scholars based in China, Italy and France. Frequent co-authors include Guang Wu, Nicoletta Finato, Rossana Bussani, Piero Anversa, Jan Kajstura, Annarosa Leri, Antonio Paolo Beltrami, Carlo Alberto Beltrami, Bernardo Nadal‐Ginard and Konrad Urbanek. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Molecular Modeling, Applied Biochemistry and Biotechnology, Peptides and Transboundary and Emerging Diseases.
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.