Xin Yi
Impact in
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- Algal biology and biofuel production
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
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- Photosynthetic Processes and Mechanisms 13
- Genomics and Phylogenetic Studies 11
- Microbial Metabolic Engineering and Bioproduction 11
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- Algal biology and biofuel production 20
- Co-authors
- Jian Xu (13 shared papers)Qintao Wang (9 shared papers)Li Wei (7 shared papers)Yandu Lu (11 shared papers)Yanfang Guan (20 shared papers)Shi Huang (1 shared paper)Yan Yu (7 shared papers)Ping Zhou (7 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (8 papers)Nature Communications (4 papers)The Plant Journal (4 papers)PLoS ONE (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xin Yi
141 papers receiving 3.3k citations
Xin Yi's Hit Papers
Peers
Comparison fields: 5 of 164
- Renewable Energy, Sustainability and the Environment 734
- Cancer Research 291
- Molecular Biology 1.4k
- Biochemistry 114
- Oncology 350
Countries citing papers authored by Xin Yi
This map shows the geographic impact of Xin Yi'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 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 more than expected).
Fields of papers citing papers by Xin Yi
This network shows the impact of papers produced by Xin Yi. 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. The network helps show where Xin Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Yi, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 320 | |
| 2 | 2016 | 211 | |
| 3 | 2018 | 155 | |
| 4 | 2011 | 137 | |
| 5 | 2017 | 113 | |
| 6 | 2017 | 104 | |
| 7 | 2014 | 101 | |
| 8 | 2020 | 86 | |
| 9 | 2016 | 78 | |
| 10 | 2018 | 78 | |
| 11 | 2024 | 64 | |
| 12 | 2020 | 54 | |
| 13 | 2016 | 53 | |
| 14 | 2020 | 52 | |
| 15 | 2024 | 49 | |
| 16 | 2013 | 48 | |
| 17 | 2022 | 46 | |
| 18 | 2020 | 46 | |
| 19 | 2019 | 46 | |
| 20 | 2014 | 45 |
About Xin Yi
Xin Yi is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 151 papers that have together received 3.3k indexed citations. Recurring topics across this work include Algal biology and biofuel production (20 papers), Cancer Genomics and Diagnostics (15 papers), Photosynthetic Processes and Mechanisms (13 papers), Genomics and Phylogenetic Studies (11 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Lung Cancer Treatments and Mutations (10 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (734 citations), Cancer Research (291 citations), Molecular Biology (1.4k citations), Biochemistry (114 citations) and Oncology (350 citations). Xin Yi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jian Xu, Qintao Wang, Li Wei, Yandu Lu, Yanfang Guan, Shi Huang, Yan Yu, Ping Zhou, Dahai Zhang and Xuhan Ding. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Nature Communications, The Plant Journal, PLoS ONE and Journal of Clinical Oncology.
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.