Nianjun Liu

3.7k total citations
103 papers, 2.3k citations indexed

About

Nianjun Liu is a scholar working on Genetics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nianjun Liu has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 29 papers in Molecular Biology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nianjun Liu's work include Genetic Associations and Epidemiology (37 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Genetic and phenotypic traits in livestock (14 papers). Nianjun Liu is often cited by papers focused on Genetic Associations and Epidemiology (37 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Genetic and phenotypic traits in livestock (14 papers). Nianjun Liu collaborates with scholars based in United States, Australia and China. Nianjun Liu's co-authors include Hongyu Zhao, Kui Zhang, Nengjun Yi, Brian C. Lovell, David B. Allison, Nita A. Limdi, Hemant K. Tiwari, Guimin Gao, Degui Zhi and Cheongeun Oh and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Nianjun Liu

101 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nianjun Liu United States	25	804	795	393	172	164	103	2.3k
Scott Dudek United States	24	852 1.1×	979 1.2×	294 0.7×	162 0.9×	124 0.8×	52	2.2k
Lan Yu China	28	406 0.5×	729 0.9×	124 0.3×	76 0.4×	122 0.7×	107	2.1k
Yasuhiro Aoki Japan	27	249 0.3×	726 0.9×	238 0.6×	43 0.3×	73 0.4×	92	2.4k
Qing Duan China	26	440 0.5×	489 0.6×	62 0.2×	208 1.2×	103 0.6×	164	2.4k
Yan Cai China	39	281 0.3×	1.7k 2.1×	262 0.7×	88 0.5×	258 1.6×	157	4.8k
Xiaoli Jiao United States	10	489 0.6×	2.5k 3.1×	168 0.4×	87 0.5×	81 0.5×	21	4.3k
Ron Korstanje United States	32	998 1.2×	1.3k 1.6×	42 0.1×	227 1.3×	172 1.0×	114	3.3k
Xiaolin Zhu China	32	369 0.5×	1.4k 1.7×	46 0.1×	184 1.1×	212 1.3×	140	3.0k
Qiong Liu China	25	136 0.2×	1.3k 1.6×	96 0.2×	169 1.0×	77 0.5×	215	3.0k
Max Franz Canada	9	627 0.8×	3.6k 4.5×	112 0.3×	140 0.8×	112 0.7×	13	5.6k

Countries citing papers authored by Nianjun Liu

Since Specialization

Citations

This map shows the geographic impact of Nianjun Liu'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 Nianjun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianjun Liu more than expected).

Fields of papers citing papers by Nianjun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nianjun Liu. 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 Nianjun Liu. The network helps show where Nianjun Liu may publish in the future.

Co-authorship network of co-authors of Nianjun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nianjun Liu. A scholar is included among the top collaborators of Nianjun Liu 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 Nianjun Liu. Nianjun Liu 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

Luo, Juhua, Thomas E. Rohan, Marian L. Neuhouser, et al.. (2021). Hysterectomy, Oophorectomy, and Risk of Renal Cell Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 30(3). 499–506. 7 indexed citations

Luo, Juhua, Candyce H. Kroenke, Michael Hendryx, et al.. (2021). Mediation analysis of racial disparities in triple-negative breast cancer incidence among postmenopausal women. Breast Cancer Research and Treatment. 188(1). 283–293. 9 indexed citations

Limdi, Nita A., Todd M. Brown, Aditi Shendre, et al.. (2017). Quality of anticoagulation control and hemorrhage risk among African American and European American warfarin users. Pharmacogenetics and Genomics. 27(10). 347–355. 19 indexed citations

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

Liu, Nianjun. (2015). QTL mapping – Current status and challenges: Comment on “Mapping complex traits as a dynamic system” by L. Sun and R. Wu. Physics of Life Reviews. 13. 194–195. 1 indexed citations

Xu, Haiming, Xiwei Sun, Ting Qi, et al.. (2014). Multivariate Dimensionality Reduction Approaches to Identify Gene-Gene and Gene-Environment Interactions Underlying Multiple Complex Traits. PLoS ONE. 9(9). e108103–e108103. 16 indexed citations

Lin, Wan‐Yu & Nianjun Liu. (2012). Reducing Bias of Allele Frequency Estimates by Modeling SNP Genotype Data with Informative Missingness. Frontiers in Genetics. 3. 107–107. 2 indexed citations

Lin, Wan‐Yu, Hemant K. Tiwari, Guimin Gao, et al.. (2012). Similarity‐Based Multimarker Association Tests for Continuous Traits. Annals of Human Genetics. 76(3). 246–260. 4 indexed citations

Barnes, Nick, et al.. (2011). Mobility Experiments With Simulated Vision and sensory substitution of Depth. Investigative Ophthalmology & Visual Science. 52(14). 4945–4945. 7 indexed citations

10.

Liu, Nianjun, Richard Bucala, & Hongyu Zhao. (2009). Modeling Informatively Missing Genotypes in Haplotype Analysis. Communication in Statistics- Theory and Methods. 38(18). 3445–3460. 3 indexed citations

11.

Liu, Nianjun, Kui Zhang, & Hongyu Zhao. (2008). Haplotype‐Association Analysis. Advances in genetics. 60. 335–405. 108 indexed citations

12.

Liu, Nianjun, Dabao Zhang, & Hongyu Zhao. (2008). Genotyping Error Detection in Samples of Unrelated Individuals without Replicate Genotyping. Human Heredity. 67(3). 154–162. 5 indexed citations

13.

Vel, Olivier De, Nianjun Liu, Terry Caelli, & Tibério S. Caetano. (2006). An embedded Bayesian Network Hidden Markov model for digital forensics. Figshare. 1 indexed citations

14.

Liu, Nianjun & Hongyu Zhao. (2006). A non-parametric approach to population structure inference using multilocus genotypes. Human Genomics. 2(6). 353–353. 38 indexed citations

15.

Liu, Yin, Nianjun Liu, & Hongyu Zhao. (2005). Inferring protein–protein interactions through high-throughput interaction data from diverse organisms. Bioinformatics. 21(15). 3279–3285. 70 indexed citations

16.

Liu, Nianjun, W. Strugnell, R. Slaughter, et al.. (2005). Right Ventricle Extraction by Low level and Model-based algorithm. PubMed. 1905. 1607–1610. 8 indexed citations

17.

Liu, Nianjun, Sarah L. Sawyer, Namita Mukherjee, et al.. (2004). Haplotype block structures show significant variation among populations. Genetic Epidemiology. 27(4). 385–400. 34 indexed citations

18.

Liu, Nianjun & Brian C. Lovell. (2003). Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. Queensland's institutional digital repository (The University of Queensland). 1. 273–282. 16 indexed citations

19.

Liu, Nianjun & Brian C. Lovell. (2002). Real-time two hands tracking system. Queensland's institutional digital repository (The University of Queensland). 1494–1497. 1 indexed citations

20.

Liu, Nianjun & Brian C. Lovell. (2001). MMX-Accelerated Real-Time Hand Tracking System. Image and Vision Computing. 1. 381–385. 21 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.

Explore authors with similar magnitude of impact