Donglei Hu

8.1k total citations
57 papers, 1.9k citations indexed

About

Donglei Hu is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Donglei Hu has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 23 papers in Molecular Biology and 18 papers in Physiology. Recurrent topics in Donglei Hu's work include Genetic Associations and Epidemiology (16 papers), Asthma and respiratory diseases (15 papers) and Epigenetics and DNA Methylation (10 papers). Donglei Hu is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Asthma and respiratory diseases (15 papers) and Epigenetics and DNA Methylation (10 papers). Donglei Hu collaborates with scholars based in United States, Spain and Mexico. Donglei Hu's co-authors include Elad Ziv, Scott Huntsman, Esteban G. Burchard, Celeste Eng, Sam S. Oh, Steven R. Cummings, Noah Zaitlen, Karla Kerlikowske, Joshua Galanter and Eran Halperin and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Donglei Hu

55 papers receiving 1.8k citations

Peers

Donglei Hu

GENET

PHYSI

IMMUN

ONCOL

Scott Huntsman United States

Liane M. McGlynn United Kingdom

Roman‐Ulrich Müller Germany

Terzah M. Horton United States

Thomas M. Stubbs United States

Samuel A. Lambert United Kingdom

Dirk S. Paul United Kingdom

Brian Luke Germany

Anthony N. Gerber United States

Kevin B. Jacobs United States

Scott Huntsman United States

Donglei Hu

494 ×0.7

623 ×1.2

GENET

267 ×0.7

PHYSI

150 ×0.6

IMMUN

235 ×1.0

ONCOL

Citations per year, relative to Donglei Hu Donglei Hu (= 1×) peers Scott Huntsman

Countries citing papers authored by Donglei Hu

Since Specialization

Citations

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

Fields of papers citing papers by Donglei Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglei Hu

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

All Works

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20 of 20 papers shown

Kachuri, Linda, Angel C. Y. Mak, Donglei Hu, et al.. (2023). Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture. Nature Genetics. 55(6). 952–963. 23 indexed citations

Ding, Yuan Chun, Hanbing Song, Aaron W. Adamson, et al.. (2023). Profiling the Somatic Mutational Landscape of Breast Tumors from Hispanic/Latina Women Reveals Conserved and Unique Characteristics. Cancer Research. 83(15). 2600–2613. 7 indexed citations

Herrera‐Luis, Esther, Annie Li, Angel C. Y. Mak, et al.. (2023). Multi-omic approach associates blood methylome with bronchodilator drug response in pediatric asthma. Journal of Allergy and Clinical Immunology. 151(6). 1503–1512. 10 indexed citations

Herrera‐Luis, Esther, Annie Li, Angel C. Y. Mak, et al.. (2022). Epigenome-wide association study of lung function in Latino children and youth with asthma. Clinical Epigenetics. 14(1). 9–9. 9 indexed citations

Herrera‐Luis, Esther, Fabián Lorenzo-Díaz, Donglei Hu, et al.. (2021). Role of Sex on the Genetic Susceptibility to Childhood Asthma in Latinos and African Americans. Journal of Personalized Medicine. 11(11). 1140–1140. 10 indexed citations

Keys, Kevin L., Angel C. Y. Mak, Marquitta J. White, et al.. (2020). On the cross-population generalizability of gene expression prediction models. PLoS Genetics. 16(8). e1008927–e1008927. 31 indexed citations

Weitzel, Jeffrey N., Susan L. Neuhausen, Aaron W. Adamson, et al.. (2019). Pathogenic and likely pathogenic variants in PALB2 , CHEK2 , and other known breast cancer susceptibility genes among 1054 BRCA ‐negative Hispanics with breast cancer. Cancer. 125(16). 2829–2836. 36 indexed citations

Emami, Nima C., Linda Kachuri, Travis J. Meyers, et al.. (2019). Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms. Nature Communications. 10(1). 3107–3107. 22 indexed citations

Torgerson, Dara G., Philip L. Ballard, Roberta L. Keller, et al.. (2018). Ancestry and genetic associations with bronchopulmonary dysplasia in preterm infants. American Journal of Physiology-Lung Cellular and Molecular Physiology. 315(5). L858–L869. 20 indexed citations

10.

Hoffman, Joshua, Rebecca E. Graff, Nima C. Emami, et al.. (2017). Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genetics. 13(3). e1006690–e1006690. 39 indexed citations

11.

Zaitlen, Noah, Scott Huntsman, Donglei Hu, et al.. (2016). The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium. Genetics. 205(1). 375–383. 20 indexed citations

12.

Chan, Pamela, Eugenio Antonio Carrera Silva, Dimitri de Kouchkovsky, et al.. (2016). The TAM family receptor tyrosine kinase TYRO3 is a negative regulator of type 2 immunity. Science. 352(6281). 99–103. 70 indexed citations

13.

Shieh, Yiwey, Donglei Hu, Lin Ma, et al.. (2016). Breast cancer risk prediction using a clinical risk model and polygenic risk score. Breast Cancer Research and Treatment. 159(3). 513–525. 105 indexed citations

14.

Caswell‐Jin, Jennifer L., Roman Camarda, Alicia Y. Zhou, et al.. (2015). Multiple breast cancer risk variants are associated with differential transcript isoform expression in tumors. Human Molecular Genetics. 24(25). 7421–7431. 16 indexed citations

15.

Yue, John K., Adam R. Ferguson, Nancy Temkin, et al.. (2015). Association of a common genetic variant within ANKK1 with six-month cognitive performance after traumatic brain injury. Neurogenetics. 16(3). 169–180. 31 indexed citations

16.

Fejerman, Laura, Nasim Ahmadiyeh, Donglei Hu, et al.. (2014). Abstract LB-299: Genome wide association study of breast cancer in Latinas identifies protective variants of Indigenous American origin on 6q25. Cancer Research. 74(19_Supplement). LB–299.

17.

DeFilippis, Rosa Anna, Hang Chang, Nancy Dumont, et al.. (2012). CD36 Repression Activates a Multicellular Stromal Program Shared by High Mammographic Density and Tumor Tissues. Cancer Discovery. 2(9). 826–839. 152 indexed citations

18.

Pawlikowska, Ludmila, Donglei Hu, Scott Huntsman, et al.. (2009). Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity. Aging Cell. 8(4). 460–472. 254 indexed citations

19.

Knoechel, Birgit, Jens G. Lohr, Shirley Zhu, et al.. (2006). Functional and Molecular Comparison of Anergic and Regulatory T Lymphocytes. The Journal of Immunology. 176(11). 6473–6483. 45 indexed citations

20.

Hu, Donglei. (2003). Microarray Data Analysis in Studies of Membrane Transporters. Humana Press eBooks. 227. 71–84. 2 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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