Junyi Xin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
-
- Air Quality and Health Impacts
Papers in
- Genetics 32
- Genetic Associations and Epidemiology 31
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Meilin Wang (50 shared papers)Mulong Du (49 shared papers)Zhengdong Zhang (33 shared papers)Haiyan Chu (25 shared papers)Shuai Ben (23 shared papers)David C. Christiani (8 shared papers)Qianyu Yuan (4 shared papers)Shuwei Li (23 shared papers)
- Journals
- Archives of Toxicology (9 papers)Environment International (4 papers)Gene (4 papers)Environmental Science and Pollution Research (3 papers)Genome Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Junyi Xin
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 172
- Health, Toxicology and Mutagenesis 137
- Oncology 156
- Molecular Biology 438
- Genetics 141
Countries citing papers authored by Junyi Xin
This map shows the geographic impact of Junyi Xin'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 Junyi Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Xin more than expected).
Fields of papers citing papers by Junyi Xin
This network shows the impact of papers produced by Junyi Xin. 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 Junyi Xin. The network helps show where Junyi Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Xin, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 245 | |
| 2 | 2021 | 68 | |
| 3 | 2023 | 53 | |
| 4 | 2017 | 52 | |
| 5 | 2022 | 50 | |
| 6 | 2018 | 42 | |
| 7 | 2022 | 40 | |
| 8 | 2020 | 36 | |
| 9 | 2020 | 33 | |
| 10 | 2023 | 33 | |
| 11 | 2021 | 31 | |
| 12 | 2019 | 30 | |
| 13 | 2022 | 29 | |
| 14 | 2020 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2020 | 21 | |
| 17 | 2024 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2023 | 18 | |
| 20 | 2017 | 17 |
About Junyi Xin
Junyi Xin is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis and Oncology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (31 papers), Genetic factors in colorectal cancer (8 papers), Air Quality and Health Impacts (5 papers), Cancer-related molecular mechanisms research (4 papers), Prostate Cancer Treatment and Research (4 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Cancer Research (172 citations), Health, Toxicology and Mutagenesis (137 citations), Oncology (156 citations), Molecular Biology (438 citations) and Genetics (141 citations). Junyi Xin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Meilin Wang, Mulong Du, Zhengdong Zhang, Haiyan Chu, Shuai Ben, David C. Christiani, Qianyu Yuan, Shuwei Li, Dongying Gu and Rui Zheng. Their work appears in journals such as Archives of Toxicology, Environment International, Gene, Environmental Science and Pollution Research and Genome Medicine.
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.