Xin‐Yi Chu
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics, phytochemicals, and oxidative stress
- Machine Learning in Bioinformatics
- Metabolomics and Mass Spectrometry Studies
Papers in
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- Bioinformatics and Genomic Networks 4
- RNA and protein synthesis mechanisms 3
- Microbial Metabolic Engineering and Bioproduction 3
- Genomics, phytochemicals, and oxidative stress 2
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- Origins and Evolution of Life 4
- Space Science and Extraterrestrial Life 2
- Co-authors
- Hongyu Zhang (18 shared papers)Shanshan Wang (5 shared papers)Yu Chen (5 shared papers)Yuan Quan (3 shared papers)Ying Tan (2 shared papers)Ye-Mao Liu (2 shared papers)Qingye Zhang (4 shared papers)Xinyu Tong (2 shared papers)
In The Last Decade
Xin‐Yi Chu
21 papers receiving 349 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 73
- Molecular Biology 235
- Biological Psychiatry 6
- Pharmacology 19
- Astronomy and Astrophysics 34
Countries citing papers authored by Xin‐Yi Chu
This map shows the geographic impact of Xin‐Yi Chu'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 Xin‐Yi Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin‐Yi Chu more than expected).
Fields of papers citing papers by Xin‐Yi Chu
This network shows the impact of papers produced by Xin‐Yi Chu. 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 Xin‐Yi Chu. The network helps show where Xin‐Yi Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin‐Yi Chu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | 2022 | 65 | |
| 3 | 2017 | 25 | |
| 4 | 2022 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2017 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2015 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 2 |
About Xin‐Yi Chu
Xin‐Yi Chu is a scholar working on Molecular Biology, Astronomy and Astrophysics, Computational Theory and Mathematics, Pharmacology and Pharmacology, having authored 23 papers that have together received 354 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers), Origins and Evolution of Life (4 papers), RNA and protein synthesis mechanisms (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Space Science and Extraterrestrial Life (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (73 citations), Molecular Biology (235 citations), Biological Psychiatry (6 citations), Pharmacology (19 citations) and Astronomy and Astrophysics (34 citations). Xin‐Yi Chu has collaborated with scholars based in China and Germany. Frequent co-authors include Hongyu Zhang, Shanshan Wang, Yu Chen, Yuan Quan, Ying Tan, Ye-Mao Liu, Qingye Zhang, Xinyu Tong, Tingjun Hou and Minjie Mou. Their work appears in journals such as Life, Nucleic Acids Research, FEBS Letters, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.
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.