Nengjun Yi

7.2k total citations
149 papers, 4.2k citations indexed

About

Nengjun Yi is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Nengjun Yi has authored 149 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Genetics, 61 papers in Molecular Biology and 27 papers in Plant Science. Recurrent topics in Nengjun Yi's work include Genetic Mapping and Diversity in Plants and Animals (45 papers), Genetic and phenotypic traits in livestock (40 papers) and Genetic Associations and Epidemiology (26 papers). Nengjun Yi is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (45 papers), Genetic and phenotypic traits in livestock (40 papers) and Genetic Associations and Epidemiology (26 papers). Nengjun Yi collaborates with scholars based in United States, China and Taiwan. Nengjun Yi's co-authors include Shizhong Xu, David B. Allison, Xinyan Zhang, Samprit Banerjee, Brian S. Yandell, Daniel Shriner, Zaixiang Tang, Boris Pasche, Degui Zhi and Nianjun Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Nengjun Yi

143 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nengjun Yi United States	36	2.0k	1.4k	947	382	274	149	4.2k
Xiangqin Cui United States	35	952 0.5×	3.6k 2.5×	813 0.9×	439 1.1×	217 0.8×	120	5.7k
Hemant K. Tiwari United States	35	2.3k 1.2×	1.8k 1.3×	1.3k 1.3×	262 0.7×	123 0.4×	219	5.7k
Kathleen F. Kerr United States	32	779 0.4×	3.1k 2.2×	586 0.6×	419 1.1×	353 1.3×	113	6.4k
Fei Zou United States	32	1.2k 0.6×	1.2k 0.9×	345 0.4×	185 0.5×	109 0.4×	163	3.4k
Momiao Xiong United States	39	1.9k 1.0×	2.3k 1.6×	157 0.2×	348 0.9×	327 1.2×	123	4.5k
Antoine M. Snijders United States	32	1.8k 0.9×	2.7k 1.9×	708 0.7×	892 2.3×	538 2.0×	113	4.9k
Pierre R. Bushel United States	38	645 0.3×	2.9k 2.0×	349 0.4×	581 1.5×	417 1.5×	111	4.4k
Samuel Lévy France	45	1.1k 0.5×	2.1k 1.5×	784 0.8×	308 0.8×	142 0.5×	190	10.3k
Michael A. Black New Zealand	43	986 0.5×	2.7k 1.9×	1.1k 1.1×	803 2.1×	1.3k 4.6×	140	6.1k
Christina Kendziorski United States	39	1.1k 0.6×	5.3k 3.7×	441 0.5×	1.1k 2.9×	334 1.2×	125	7.9k

Countries citing papers authored by Nengjun Yi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nengjun Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Nengjun Yi. A scholar is included among the top collaborators of Nengjun Yi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nengjun Yi. Nengjun Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Xiaoxiao, et al.. (2025). Bayesian Generalized Linear Models for Analyzing Compositional and Sub‐Compositional Microbiome Data via EM Algorithm. Statistics in Medicine. 44(7). e70084–e70084.

Rana, Tapasi, Chunsun Jiang, Sami Banerjee, et al.. (2023). PAI-1 Regulation of p53 Expression and Senescence in Type II Alveolar Epithelial Cells. Cells. 12(15). 2008–2008. 12 indexed citations

Sun, Na, et al.. (2022). Bayesian hierarchical lasso Cox model: A 9-gene prognostic signature for overall survival in gastric cancer in an Asian population. PLoS ONE. 17(4). e0266805–e0266805. 9 indexed citations

Howell, Carrie R., et al.. (2022). Race Versus Social Determinants of Health in COVID-19 Hospitalization Prediction. American Journal of Preventive Medicine. 63(1). S103–S108. 10 indexed citations

Sun, Na, et al.. (2021). The Application of Bayesian Methods in Cancer Prognosis and Prediction. Cancer Genomics & Proteomics. 19(1). 1–11. 9 indexed citations

Xu, Hongxia, Huiying Han, Sha Song, et al.. (2019). Exosome-Transmitted PSMA3 and PSMA3-AS1 Promote Proteasome Inhibitor Resistance in Multiple Myeloma. Clinical Cancer Research. 25(6). 1923–1935. 106 indexed citations

Veturi, Yogasudha, Gustavo de los Campos, Nengjun Yi, et al.. (2019). Modeling Heterogeneity in the Genetic Architecture of Ethnically Diverse Groups Using Random Effect Interaction Models. Genetics. 211(4). 1395–1407. 28 indexed citations

Zhu, Xiaowei, Lugang Yu, Hui Zhou, et al.. (2018). Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China. Lipids in Health and Disease. 17(1). 37–37. 143 indexed citations

Zhang, Xinyan, Bing-Zong Li, Huiying Han, et al.. (2018). Predicting multi-level drug response with gene expression profile in multiple myeloma using hierarchical ordinal regression. BMC Cancer. 18(1). 551–551. 10 indexed citations

10.

Zhang, Xinyan, Yu‐Fang Pei, Lei Zhang, et al.. (2018). Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data. Frontiers in Microbiology. 9. 1683–1683. 52 indexed citations

11.

Zhang, Xinyan, Himel Mallick, Zaixiang Tang, et al.. (2017). Negative binomial mixed models for analyzing microbiome count data. BMC Bioinformatics. 18(1). 4–4. 107 indexed citations

12.

Zhang, Xinyan, Tomi Akinyemiju, Akinyemi I. Ojesina, et al.. (2016). Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach. Genetics. 205(1). 89–100. 30 indexed citations

13.

Birtwistle, Marc R., Himel Mallick, Nengjun Yi, et al.. (2014). Transcriptomes and shRNA Suppressors in a TP53 Allele–Specific Model of Early-Onset Colon Cancer in African Americans. Molecular Cancer Research. 12(7). 1029–1041. 12 indexed citations

14.

Yi, Nengjun, Shizhong Xu, Xiang‐Yang Lou, & Himel Mallick. (2013). Multiple comparisons in genetic association studies: a hierarchical modeling approach. Statistical Applications in Genetics and Molecular Biology. 13(1). 35–48. 10 indexed citations

15.

Yi, Nengjun & Shuangge Ma. (2012). Hierarchical Shrinkage Priors and Model Fitting for High-dimensional Generalized Linear Models. Statistical Applications in Genetics and Molecular Biology. 11(6). 17 indexed citations

16.

Pasche, Boris, Kari B. Wisinski, Maureen Sadim, et al.. (2010). Constitutively decreased TGFBR1 allelic expression is a common finding in colorectal cancer and is associated with three TGFBR1 SNPs. Journal of Experimental & Clinical Cancer Research. 29(1). 57–57. 19 indexed citations

17.

Yi, Nengjun & Daniel Shriner. (2007). Advances in Bayesian multiple quantitative trait loci mapping in experimental crosses. Heredity. 100(3). 240–252. 35 indexed citations

18.

Zhang, HG, Ling Li, Nengjun Yi, et al.. (2003). Age-related thymic involution in C57BL/6J × DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10. Genes and Immunity. 4(6). 402–410. 43 indexed citations

19.

Zhang, HG, et al.. (2003). Identification of multiple genetic loci that regulate adenovirus gene therapy. Gene Therapy. 11(1). 4–14. 7 indexed citations

20.

Mei, Li, et al.. (2001). Correlation between RAPD-based Parental Genetic Distance and Filial Performance of Chinese Fir. Forest Research Open Access. 14(1). 35–40. 1 indexed citations

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.

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