Xiaoye Jin
Impact in
Papers in
- Genetics 69
- Forensic and Genetic Research 65
- Genetic diversity and population structure 41
- Genetic Associations and Epidemiology 12
- Yersinia bacterium, plague, ectoparasites research 10
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- Molecular Biology Techniques and Applications 38
- Identification and Quantification in Food 10
- Co-authors
- Bofeng Zhu (52 shared papers)Yuxin Guo (38 shared papers)Wei Cui (33 shared papers)Chong Chen (28 shared papers)Tong Xie (18 shared papers)Qiong Lan (19 shared papers)Yating Fang (17 shared papers)Sharon Lin (1 shared paper)
- Journals
- Electrophoresis (12 papers)Frontiers in Genetics (9 papers)International Journal of Legal Medicine (6 papers)Legal Medicine (4 papers)Forensic Sciences Research (4 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Xiaoye Jin
87 papers receiving 884 citations
Peers
Comparison fields: 5 of 96
- Finance 183
- Genetics 459
- General Economics, Econometrics and Finance 90
- Economics and Econometrics 276
- General Energy 7
Countries citing papers authored by Xiaoye Jin
This map shows the geographic impact of Xiaoye Jin'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 Xiaoye Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoye Jin more than expected).
Fields of papers citing papers by Xiaoye Jin
This network shows the impact of papers produced by Xiaoye Jin. 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 Xiaoye Jin. The network helps show where Xiaoye Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoye Jin, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2012 | 53 | |
| 3 | 2017 | 36 | |
| 4 | 2019 | 34 | |
| 5 | 2016 | 34 | |
| 6 | 2019 | 32 | |
| 7 | 2017 | 32 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2018 | 12 | |
| 20 | 2019 | 12 |
About Xiaoye Jin
Xiaoye Jin is a scholar working on Genetics, Molecular Biology, Economics and Econometrics, Finance and General Economics, Econometrics and Finance, having authored 100 papers that have together received 895 indexed citations. Recurring topics across this work include Forensic and Genetic Research (65 papers), Genetic diversity and population structure (41 papers), Molecular Biology Techniques and Applications (38 papers), Genetic Associations and Epidemiology (12 papers), Market Dynamics and Volatility (12 papers), Yersinia bacterium, plague, ectoparasites research (10 papers), Identification and Quantification in Food (10 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Finance (183 citations), Genetics (459 citations), General Economics, Econometrics and Finance (90 citations), Economics and Econometrics (276 citations) and General Energy (7 citations). Xiaoye Jin has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Bofeng Zhu, Yuxin Guo, Wei Cui, Chong Chen, Tong Xie, Qiong Lan, Yating Fang, Sharon Lin, Michael Tamvakis and Tingting Kong. Their work appears in journals such as Electrophoresis, Frontiers in Genetics, International Journal of Legal Medicine, Legal Medicine and Forensic Sciences Research.
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.