Xin Yi
Impact in
-
- Algal biology and biofuel production
- Molecular Biology top 5%
- Photosynthetic Processes and Mechanisms
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
Papers in
-
- Cancer Genomics and Diagnostics 17
-
- Algal biology and biofuel production 21
- Co-authors
- Jian Xu (13 shared papers)Qintao Wang (9 shared papers)Li Wei (7 shared papers)Yandu Lu (12 shared papers)Shi Wei Huang (1 shared paper)Yanfang Guan (17 shared papers)Tong Zhang (2 shared papers)Yan Yu (7 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (8 papers)The Plant Journal (4 papers)Nature Communications (4 papers)Gene (3 papers)iScience (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xin Yi
140 papers receiving 3.5k citations
Xin Yi's Hit Papers
Peers
Comparison fields: 5 of 165
- Renewable Energy, Sustainability and the Environment 819
- Molecular Biology 1.5k
- Cancer Research 301
- Biochemistry 116
- Oncology 366
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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 321 | |
| 2 | 2016 | 253 | |
| 3 | 2018 | 214 | |
| 4 | 2011 | 141 | |
| 5 | 2017 | 128 | |
| 6 | 2017 | 114 | |
| 7 | 2014 | 111 | |
| 8 | 2020 | 89 | |
| 9 | 2016 | 88 | |
| 10 | 2018 | 80 | |
| 11 | 2024 | 68 | |
| 12 | 2020 | 60 | |
| 13 | 2016 | 56 | |
| 14 | 2024 | 54 | |
| 15 | 2013 | 54 | |
| 16 | 2020 | 54 | |
| 17 | 2022 | 52 | |
| 18 | 2020 | 51 | |
| 19 | 2014 | 49 | |
| 20 | 2019 | 48 |
About Xin Yi
Xin Yi is a scholar working on Cancer Research, Renewable Energy, Sustainability and the Environment, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 150 papers that have together received 3.6k indexed citations. Recurring topics across this work include Algal biology and biofuel production (21 papers), Cancer Genomics and Diagnostics (17 papers), Photosynthetic Processes and Mechanisms (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Genomics and Phylogenetic Studies (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Lung Cancer Treatments and Mutations (8 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (819 citations), Molecular Biology (1.5k citations), Cancer Research (301 citations), Biochemistry (116 citations) and Oncology (366 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, Shi Wei Huang, Yanfang Guan, Tong Zhang, Yan Yu, Ping Zhou and Dahai Zhang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, The Plant Journal, Nature Communications, Gene and iScience.
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.