Nengjun Yi
Impact in
- Genetics top 0.5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic Associations and Epidemiology
- Statistics and Probability top 2%
Papers in
- Genetics 62
- Genetic Mapping and Diversity in Plants and Animals 42
- Genetic and phenotypic traits in livestock 37
- Genetic Associations and Epidemiology 22
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- Gut microbiota and health 15
- Gene expression and cancer classification 10
- Bioinformatics and Genomic Networks 8
- Co-authors
- Shizhong Xu (16 shared papers)David B. Allison (23 shared papers)Xinyan Zhang (24 shared papers)Samprit Banerjee (6 shared papers)Brian S. Yandell (5 shared papers)Daniel Shriner (7 shared papers)Zaixiang Tang (13 shared papers)Degui Zhi (6 shared papers)
- Journals
- Genetics (18 papers)PLoS ONE (6 papers)Bioinformatics (6 papers)Genetics Research (5 papers)Genetic Epidemiology (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Nengjun Yi
144 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 164
- Genetics 2.0k
- Statistics and Probability 228
- Plant Science 919
- Cancer Research 298
- Molecular Biology 1.3k
Countries citing papers authored by Nengjun Yi
This map shows the geographic impact of Nengjun 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 Nengjun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nengjun Yi more than expected).
Fields of papers citing papers by Nengjun Yi
This network shows the impact of papers produced by Nengjun 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 Nengjun Yi. The network helps show where Nengjun Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Nengjun 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 254 | |
| 2 | 2018 | 152 | |
| 3 | 2011 | 136 | |
| 4 | 2007 | 128 | |
| 5 | 2005 | 119 | |
| 6 | 2003 | 118 | |
| 7 | 2011 | 113 | |
| 8 | 2017 | 113 | |
| 9 | 2019 | 108 | |
| 10 | 2000 | 103 | |
| 11 | 2007 | 101 | |
| 12 | 2018 | 96 | |
| 13 | 2003 | 88 | |
| 14 | 2008 | 87 | |
| 15 | 2004 | 86 | |
| 16 | 2018 | 84 | |
| 17 | 2020 | 75 | |
| 18 | 2013 | 68 | |
| 19 | 2007 | 65 | |
| 20 | 2002 | 65 |
About Nengjun Yi
Nengjun Yi is a scholar working on Genetics, Molecular Biology, Plant Science, Cancer Research and Pulmonary and Respiratory Medicine, having authored 153 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (42 papers), Genetic and phenotypic traits in livestock (37 papers), Genetic Associations and Epidemiology (22 papers), Genetics and Plant Breeding (22 papers), Gut microbiota and health (15 papers), Gene expression and cancer classification (10 papers), Statistical Methods and Inference (8 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Genetics (2.0k citations), Statistics and Probability (228 citations), Plant Science (919 citations), Cancer Research (298 citations) and Molecular Biology (1.3k citations). Nengjun Yi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shizhong Xu, David B. Allison, Xinyan Zhang, Samprit Banerjee, Brian S. Yandell, Daniel Shriner, Zaixiang Tang, Degui Zhi, Boris Pasche and Nianjun Liu. Their work appears in journals such as Genetics, PLoS ONE, Bioinformatics, Genetics Research and Genetic Epidemiology.
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.