Jin Yu
- Cancer Research top 2%
- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 12
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 25
- DNA and Nucleic Acid Chemistry 20
- Protein Structure and Dynamics 10
- Genomics and Chromatin Dynamics 9
- Structural Biology top 5%
- Biophysics top 2%
- Geriatrics and Gerontology top 5%
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- Bacterial Genetics and Biotechnology 18
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- Bacteriophages and microbial interactions 12
- Co-authors
- Klaus SchultenTaekjip HaLin‐Tai DaLorne J. HofsethYaxian WangTingting YaoZhongqiu LinJun Zhang
- Journals
- Biophysical Journal (13 papers)Nucleic Acids Research (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jin Yu
148 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 151
- Cancer Research 726
- Molecular Biology 2.4k
- Structural Biology 37
- Biophysics 126
- Geriatrics and Gerontology 71
Countries citing papers authored by Jin Yu
This map shows the geographic impact of Jin Yu'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 Jin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yu more than expected).
Fields of papers citing papers by Jin Yu
This network shows the impact of papers produced by Jin Yu. 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 Jin Yu. The network helps show where Jin Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 40 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 19 | |
| 16 | Efficient fidelity control by stepwise nucleotide selection in polymerase elongation Abstract: Polymerases select nucleotides | 2014 | 9 |
| 17 | 2011 | 1 | |
| 18 | 2010 | 55 | |
| 19 | 2010 | 179 | |
| 20 | 2007 | 42 |
About Jin Yu
Jin Yu is a scholar working on Cancer Research, Molecular Biology, Genetics, Neurology and Geriatrics and Gerontology, having authored 156 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (25 papers), DNA and Nucleic Acid Chemistry (20 papers), Bacterial Genetics and Biotechnology (18 papers), MicroRNA in disease regulation (14 papers), Bacteriophages and microbial interactions (12 papers), Cancer-related molecular mechanisms research (12 papers), Protein Structure and Dynamics (10 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Cancer Research (726 citations), Molecular Biology (2.4k citations), Structural Biology (37 citations), Biophysics (126 citations) and Geriatrics and Gerontology (71 citations). Jin Yu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Klaus Schulten, Taekjip Ha, Lin‐Tai Da, Lorne J. Hofseth, Yaxian Wang, Tingting Yao, Zhongqiu Lin, Jun Zhang, Yunyun Liu and Prakash Nagarkatti. Their work appears in journals such as Biophysical Journal, Nucleic Acids Research, Journal of Biological Chemistry, Scientific Reports and Journal of Chemical Theory and Computation.
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.