Nathan E. Wineinger

5.2k total citations · 2 hit papers
53 papers, 2.8k citations indexed

About

Nathan E. Wineinger is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nathan E. Wineinger has authored 53 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 11 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nathan E. Wineinger's work include Genetic Associations and Epidemiology (17 papers), Genomic variations and chromosomal abnormalities (7 papers) and Asthma and respiratory diseases (6 papers). Nathan E. Wineinger is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Genomic variations and chromosomal abnormalities (7 papers) and Asthma and respiratory diseases (6 papers). Nathan E. Wineinger collaborates with scholars based in United States, South Korea and China. Nathan E. Wineinger's co-authors include Eric J. Topol, Ali Torkamani, Steven R. Steinhubl, Andrew A. White, Donald D. Stevenson, Jessica Rajan, Ju Young Kim, Jennifer M. Radin, Yann C. Klimentidis and Nicholas J. Schork and has published in prestigious journals such as Cell, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Nathan E. Wineinger

50 papers receiving 2.7k 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.

The personal and clinical utility of polygenic risk scores

2018 863 citations Ali Torkamani, Nathan E. Wineinger et al. profile →
Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE

2018 253 citations Yann C. Klimentidis, David A. Raichlen et al. International Journal of Obesity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan E. Wineinger United States	21	980	501	457	298	275	53	2.8k
Janet M. Grubber United States	24	418 0.4×	276 0.6×	605 1.3×	491 1.6×	197 0.7×	64	2.4k
Archie Campbell United Kingdom	31	709 0.7×	356 0.7×	974 2.1×	462 1.6×	173 0.6×	94	2.9k
Sreeram V Ramagopalan United Kingdom	34	460 0.5×	330 0.7×	715 1.6×	303 1.0×	324 1.2×	161	5.5k
Laure El ghormli United States	23	585 0.6×	329 0.7×	682 1.5×	251 0.8×	481 1.7×	58	2.7k
Sarah Brockwell United States	22	484 0.5×	606 1.2×	247 0.5×	432 1.4×	654 2.4×	27	3.5k
Amnon Lahad Israel	25	743 0.8×	438 0.9×	591 1.3×	90 0.3×	214 0.8×	61	2.4k
N. Charlotte Onland‐Moret Netherlands	30	847 0.9×	456 0.9×	813 1.8×	416 1.4×	634 2.3×	114	3.5k
Andrew Wong United Kingdom	33	862 0.9×	661 1.3×	1.2k 2.6×	213 0.7×	542 2.0×	114	3.9k
Elizabeth Thompson United Kingdom	39	806 0.8×	287 0.6×	708 1.5×	146 0.5×	374 1.4×	200	4.6k
Michaël R. Laurent Belgium	34	526 0.5×	835 1.7×	1.2k 2.7×	120 0.4×	182 0.7×	77	4.2k

Countries citing papers authored by Nathan E. Wineinger

Since Specialization

Citations

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

Fields of papers citing papers by Nathan E. Wineinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Wineinger. 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 Nathan E. Wineinger. The network helps show where Nathan E. Wineinger may publish in the future.

Co-authorship network of co-authors of Nathan E. Wineinger

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan E. Wineinger. A scholar is included among the top collaborators of Nathan E. Wineinger 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 Nathan E. Wineinger. Nathan E. Wineinger 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

Khattab, Ahmed, Shang‐Fu Chen, Nathan E. Wineinger, & Ali Torkamani. (2025). AoUPRS: A cost-effective and versatile PRS calculator for the All of Us Program. BMC Genomics. 26(1). 521–521.

Chen, Shang‐Fu, Sang Eun Lee, Hossein Javedani Sadaei, et al.. (2025). Meta-prediction of coronary artery disease risk. Nature Medicine. 31(7). 2277–2288. 1 indexed citations

Hu, Eric, et al.. (2023). Association study between drug prescriptions and Alzheimer’s disease claims in a commercial insurance database. Alzheimer s Research & Therapy. 15(1). 118–118. 3 indexed citations

Sadaei, Hossein Javedani, Aldo Córdova‐Palomera, Jong Hun Lee, et al.. (2022). Genetically-informed prediction of short-term Parkinson’s disease progression. npj Parkinson s Disease. 8(1). 143–143. 10 indexed citations

Radin, Jennifer M., Nathan E. Wineinger, Eric J. Topol, & Steven R. Steinhubl. (2020). Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. The Lancet Digital Health. 2(2). e85–e93. 191 indexed citations

Wineinger, Nathan E., et al.. (2018). Identification of paroxysmal atrial fibrillation subtypes in over 13,000 individuals. Heart Rhythm. 16(1). 26–30. 19 indexed citations

Klimentidis, Yann C., David A. Raichlen, Jennifer W. Bea, et al.. (2018). Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE. International Journal of Obesity. 42(6). 1161–1176. 253 indexed citations breakdown →

Modena, Brian D., et al.. (2017). Use of a composite symptom score during challenge in patients with suspected aspirin-exacerbated respiratory disease. Annals of Allergy Asthma & Immunology. 118(5). 597–602. 6 indexed citations

Simon, Ronald A., et al.. (2017). Effect of misoprostol on patients with aspirin-exacerbated respiratory disease undergoing aspirin challenge and desensitization. Annals of Allergy Asthma & Immunology. 119(1). 71–76. 5 indexed citations

10.

Kim, Ju Young, Nathan E. Wineinger, & Steven R. Steinhubl. (2016). The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research. 18(6). e116–e116. 147 indexed citations

11.

Topol, Eric J., et al.. (2016). A framework for smartphone-enabled, patient-generated health data analysis. PeerJ. 4. e2284–e2284. 14 indexed citations

12.

Kim, Ju Young, Nathan E. Wineinger, Michael Taitel, et al.. (2016). Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research. 18(11). e292–e292. 27 indexed citations

13.

Li, Qingqin S., Nathan E. Wineinger, Dong‐Jing Fu, et al.. (2016). Genome-wide association study of paliperidone efficacy. Pharmacogenetics and Genomics. 27(1). 7–18. 36 indexed citations

14.

Boeldt, Debra, Nathan E. Wineinger, Jill Waalen, et al.. (2015). How Consumers and Physicians View New Medical Technology: Comparative Survey. Journal of Medical Internet Research. 17(9). e215–e215. 29 indexed citations

15.

Zhu, Jonathan J. H., et al.. (2015). An Examination of the Relationship between Lipid Levels and Associated Genetic Markers across Racial/Ethnic Populations in the Multi-Ethnic Study of Atherosclerosis. PLoS ONE. 10(5). e0126361–e0126361. 7 indexed citations

16.

Scott, David R., et al.. (2015). Differential skin test reactivity to pollens in pollen food allergy syndrome versus allergic rhinitis. Allergy and Asthma Proceedings. 36(5). 379–385. 9 indexed citations

17.

Rajan, Jessica, Nathan E. Wineinger, Donald D. Stevenson, & Andrew A. White. (2014). Prevalence of aspirin-exacerbated respiratory disease among asthmatic patients: A meta-analysis of the literature. Journal of Allergy and Clinical Immunology. 135(3). 676–681.e1. 294 indexed citations

18.

Klimentidis, Yann C., Jin Zhou, & Nathan E. Wineinger. (2014). Identification of Allelic Heterogeneity at Type-2 Diabetes Loci and Impact on Prediction. PLoS ONE. 9(11). e113072–e113072. 5 indexed citations

19.

Zhao, Wei, Nathan E. Wineinger, Hemant K. Tiwari, et al.. (2012). Copy Number Variations Associated With Obesity‐Related Traits in African Americans: A Joint Analysis Between GENOA and HyperGEN. Obesity. 20(12). 2431–2437. 16 indexed citations

20.

Wineinger, Nathan E., Nicholas M. Pajewski, & Hemant K. Tiwari. (2011). A Method to Assess Linkage Disequilibrium between CNVs and SNPs Inside Copy Number Variable Regions. SHILAP Revista de lepidopterología. 2. 17–17. 5 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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