Nengjun Yi
Impact in
- Genetics top 0.5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
- Genetics 67
- Genetic Mapping and Diversity in Plants and Animals 38
- Genetic Associations and Epidemiology 32
- Genetic and phenotypic traits in livestock 25
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- Statistical Methods and Inference 18
- Statistical Methods and Bayesian Inference 13
- Co-authors
- Shizhong Xu (17 shared papers)David Blair 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)Nianjun Liu (11 shared papers)Zaixiang Tang (13 shared papers)
- Journals
- Genetics (18 papers)PLoS ONE (6 papers)Bioinformatics (6 papers)Genetics Research (5 papers)BMC Bioinformatics (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Nengjun Yi
146 papers receiving 5.5k citations
Nengjun Yi's Hit Papers
Peers
Comparison fields: 5 of 155
- Genetics 2.6k
- Statistics and Probability 425
- Aging 31
- Molecular Biology 1k
- Cancer Research 170
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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Collaborative Cross, a community resource for the genetic analysis of complex traits Hit paper breakdown → | 2004 | 888 |
| 2 | 2008 | 256 | |
| 3 | 2018 | 160 | |
| 4 | 2011 | 138 | |
| 5 | 2007 | 129 | |
| 6 | 2003 | 120 | |
| 7 | 2011 | 120 | |
| 8 | 2017 | 119 | |
| 9 | 2005 | 117 | |
| 10 | 2019 | 111 | |
| 11 | 2018 | 106 | |
| 12 | 2000 | 104 | |
| 13 | 2007 | 102 | |
| 14 | 2003 | 89 | |
| 15 | 2020 | 89 | |
| 16 | 2004 | 88 | |
| 17 | 2018 | 88 | |
| 18 | 2008 | 86 | |
| 19 | 2013 | 69 | |
| 20 | 2002 | 67 |
About Nengjun Yi
Nengjun Yi is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 151 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (38 papers), Genetic Associations and Epidemiology (32 papers), Genetic and phenotypic traits in livestock (25 papers), Statistical Methods and Inference (18 papers), Gut microbiota and health (14 papers), Statistical Methods and Bayesian Inference (13 papers), Gene expression and cancer classification (10 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Genetics (2.6k citations), Statistics and Probability (425 citations), Aging (31 citations), Molecular Biology (1k citations) and Cancer Research (170 citations). Nengjun Yi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shizhong Xu, David Blair Allison, Xinyan Zhang, Samprit Banerjee, Brian S. Yandell, Daniel Shriner, Nianjun Liu, Zaixiang Tang, Degui Zhi and Boris Pasche. Their work appears in journals such as Genetics, PLoS ONE, Bioinformatics, Genetics Research and BMC Bioinformatics.
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.