Lide Han

1.2k total citations · 1 hit paper
16 papers, 328 citations indexed

About

Lide Han is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Lide Han has authored 16 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Lide Han's work include Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genomics and Rare Diseases (3 papers). Lide Han is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genomics and Rare Diseases (3 papers). Lide Han collaborates with scholars based in United States, China and Italy. Lide Han's co-authors include Mark Abney, Abraham A. Palmer, Sandra Sanchez‐Roige, Jianjun Gao, Douglas M. Ruderfer, Amy Hart, John T. Cacioppo, Lea K. Davis, Jeffrey Annis and Hiral Master and has published in prestigious journals such as Nature Medicine, Neuropsychopharmacology and PLoS Computational Biology.

In The Last Decade

Lide Han

15 papers receiving 323 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program

2024 62 citations Neil S. Zheng, Jeffrey Annis et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lide Han United States	9	159	51	33	27	27	16	328
Peilin Meng China	10	102 0.6×	154 3.0×	26 0.8×	11 0.4×	15 0.6×	71	385
T. Becker Germany	13	63 0.4×	47 0.9×	18 0.5×	12 0.4×	16 0.6×	36	434
Andy Dahl United States	9	195 1.2×	91 1.8×	35 1.1×	4 0.1×	10 0.4×	17	287
Joe C. Christian United States	7	127 0.8×	100 2.0×	31 0.9×	7 0.3×	23 0.9×	8	357
Qinjian Hao China	8	67 0.4×	64 1.3×	30 0.9×	6 0.2×	33 1.2×	9	313
Anne Brooks United States	9	72 0.5×	31 0.6×	27 0.8×	14 0.5×	7 0.3×	21	392
Shun Yao China	9	25 0.2×	74 1.5×	48 1.5×	16 0.6×	11 0.4×	32	290
A.R.V.R. Horimoto Brazil	12	61 0.4×	29 0.6×	56 1.7×	8 0.3×	25 0.9×	20	243
J. M. Russell United States	11	162 1.0×	32 0.6×	31 0.9×	9 0.3×	5 0.2×	15	356
Kanix Wang United States	5	67 0.4×	80 1.6×	10 0.3×	7 0.3×	34 1.3×	8	256

Countries citing papers authored by Lide Han

Since Specialization

Citations

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

Fields of papers citing papers by Lide Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lide Han

This figure shows the co-authorship network connecting the top 25 collaborators of Lide Han. A scholar is included among the top collaborators of Lide Han 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 Lide Han. Lide Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Morley, Theodore, Hyunjoon Lee, Yu Zhou, et al.. (2024). Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models. Genetics in Medicine. 27(4). 101353–101353.

Zheng, Neil S., Jeffrey Annis, Hiral Master, et al.. (2024). Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program. Nature Medicine. 30(9). 2648–2656. 62 indexed citations breakdown →

Lee, Hyunjoon, Karmel W. Choi, Siwei Zhang, et al.. (2024). Integrating Electronic Health Records and Polygenic Risk to Identify Genetically Unrelated Comorbidities of Schizophrenia That May Be Modifiable. Biological Psychiatry Global Open Science. 4(3). 100297–100297. 1 indexed citations

Brittain, Evan L., Lide Han, Jeffrey Annis, et al.. (2024). Physical Activity and Incident Obesity Across the Spectrum of Genetic Risk for Obesity. JAMA Network Open. 7(3). e243821–e243821. 14 indexed citations

Liao, Calwing, Mariana Moysés‐Oliveira, Xander Nuttle, et al.. (2023). Convergent coexpression of autism-associated genes suggests some novel risk genes may not be detectable in large-scale genetic studies. Cell Genomics. 3(4). 100277–100277. 5 indexed citations

Morley, Theodore, Lide Han, Víctor M. Castro, et al.. (2021). Phenotypic signatures in clinical data enable systematic identification of patients for genetic testing. Nature Medicine. 27(6). 1097–1104. 19 indexed citations

Jiang, Yi, Gina Giase, Kay Grennan, et al.. (2020). DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data. PLoS Computational Biology. 16(4). e1007522–e1007522. 3 indexed citations

Fazia, Teresa, Roberta Pastorino, Luisa Foco, et al.. (2017). Investigating multiple sclerosis genetic susceptibility on the founder population of east-central Sardinia via association and linkage analysis of immune-related loci. Multiple Sclerosis Journal. 24(14). 1815–1824. 11 indexed citations

Gao, Jianjun, Lea K. Davis, Amy Hart, et al.. (2016). Genome-Wide Association Study of Loneliness Demonstrates a Role for Common Variation. Neuropsychopharmacology. 42(4). 811–821. 66 indexed citations

10.

Livne, Oren E., Lide Han, Gorka Alkorta‐Aranburu, et al.. (2015). PRIMAL: Fast and Accurate Pedigree-based Imputation from Sequence Data in a Founder Population. PLoS Computational Biology. 11(3). e1004139–e1004139. 24 indexed citations

11.

Wu, Xiaohui, et al.. (2014). Effects of Smilaxchinoside A and Smilaxchinoside C, Two Steroidal Glycosides from Smilax riparia, on Hyperuricemia in a Mouse Model. Phytotherapy Research. 28(12). 1822–1828. 14 indexed citations

12.

Han, Lide & Mark Abney. (2012). Using identity by descent estimation with dense genotype data to detect positive selection. European Journal of Human Genetics. 21(2). 205–211. 35 indexed citations

13.

Han, Lide & Mark Abney. (2011). Identity by descent estimation with dense genome-wide genotype data. Genetic Epidemiology. 35(6). n/a–n/a. 58 indexed citations

14.

Han, Lide & Shizhong Xu. (2008). A Fisher scoring algorithm for the weighted regression method of QTL mapping. Heredity. 101(5). 453–464. 8 indexed citations

15.

Han, Lide, Jian Yang, & Jun Zhu. (2007). Analysis of Genetic Effects of Nuclear-Cytoplasmic Interaction on Quantitative Traits: Genetic Model for Diploid Plants. Journal of genetics and genomics. 34(6). 562–568. 2 indexed citations

16.

Han, Lide & Michael D. Casler. (1999). Theoritical Inbreeding at Selectively Neutral Loci in Unparental Mass Selection and Recurrent Selection with Polycrossing of Selected Plants. Crop Science. 39(4). 1009–1015. 6 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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