Joel N. Hirschhorn

129.9k total citations · 13 hit papers
210 papers, 26.7k citations indexed

About

Joel N. Hirschhorn is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Joel N. Hirschhorn has authored 210 papers receiving a total of 26.7k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Genetics, 84 papers in Molecular Biology and 34 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Joel N. Hirschhorn's work include Genetic Associations and Epidemiology (81 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Growth Hormone and Insulin-like Growth Factors (20 papers). Joel N. Hirschhorn is often cited by papers focused on Genetic Associations and Epidemiology (81 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Growth Hormone and Insulin-like Growth Factors (20 papers). Joel N. Hirschhorn collaborates with scholars based in United States, Canada and United Kingdom. Joel N. Hirschhorn's co-authors include Mark J. Daly, David Altshuler, Kirk E. Lohmueller, Eric S. Lander, Malcolm C. Pike, Mark I. McCarthy, Celeste Leigh Pearce, Kurt Hirschhorn, Edward Byrne and John P. A. Ioannidis and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Joel N. Hirschhorn

210 papers receiving 26.1k citations

Hit Papers

Genome-wide association studies for common diseases and c... 2000 2026 2008 2017 2005 2008 2003 2000 2018 500 1000 1.5k
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.

  1. Genome-wide association studies for common diseases and complex traits
    2005 1.9k citations Joel N. Hirschhorn, Mark J. Daly profile →
  2. Genome-wide association studies for complex traits: consensus, uncertainty and challenges
    2008 1.9k citations Joel N. Hirschhorn et al. profile →
  3. Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease
    2003 1.4k citations Joel N. Hirschhorn et al. Nature Genetics profile →
  4. The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
    2000 1.3k citations David Altshuler, Joel N. Hirschhorn et al. Nature Genetics profile →
  5. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
    2018 1.3k citations Loïc Yengo, Andrew R. Wood et al. Human Molecular Genetics profile →
  6. A comprehensive review of genetic association studies
    2002 1.2k citations Joel N. Hirschhorn et al. profile →
  7. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
    2012 736 citations Jian Yang, Sarah E. Medland et al. Nature Genetics profile →
  8. Genetic Signatures of Strong Recent Positive Selection at the Lactase Gene
    2004 693 citations Jared A. Drake, Joel N. Hirschhorn et al. The American Journal of Human Genetics profile →
  9. Human Fetal Hemoglobin Expression Is Regulated by the Developmental Stage-Specific Repressor BCL11A
    2008 668 citations Vijay G. Sankaran, Tobias Menne et al. Science profile →
  10. Assessing the impact of population stratification on genetic association studies
    2004 546 citations Stacey Gabriel, Joel N. Hirschhorn et al. Nature Genetics profile →
  11. 2009 500 citations Candace Guiducci, Joel N. Hirschhorn et al. profile →
  12. Biological interpretation of genome-wide association studies using predicted gene functions
    2015 359 citations Tune H. Pers, Juha Karjalainen et al. Nature Communications profile →
  13. Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies
    2019 228 citations Joel N. Hirschhorn, Mark J. Daly et al. eLife profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel N. Hirschhorn United States 74 12.9k 10.7k 3.0k 2.8k 2.6k 210 26.7k
Paul I. W. de Bakker United States 37 16.6k 1.3× 12.8k 1.2× 1.6k 0.5× 2.0k 0.7× 2.4k 0.9× 89 34.6k
Julian Maller United States 14 17.9k 1.4× 11.0k 1.0× 1.5k 0.5× 2.5k 0.9× 2.5k 0.9× 15 35.6k
Neil Risch United States 96 18.8k 1.5× 10.4k 1.0× 1.7k 0.6× 3.0k 1.1× 2.1k 0.8× 318 40.0k
John Blangero United States 81 9.8k 0.8× 7.2k 0.7× 2.7k 0.9× 4.4k 1.6× 3.5k 1.3× 644 28.6k
Nicholas J. Schork United States 94 10.9k 0.8× 10.9k 1.0× 2.5k 0.8× 3.4k 1.2× 2.8k 1.1× 460 32.3k
Stephen S. Rich United States 85 12.3k 1.0× 7.3k 0.7× 5.3k 1.8× 3.1k 1.1× 2.5k 1.0× 634 32.1k
Benjamin M. Neale United States 55 24.7k 1.9× 12.4k 1.2× 1.5k 0.5× 2.9k 1.1× 3.1k 1.2× 165 42.0k
Wendy K. Chung United States 72 7.3k 0.6× 8.6k 0.8× 1.0k 0.3× 3.0k 1.1× 2.5k 1.0× 567 22.7k
Håkon Håkonarson United States 76 11.6k 0.9× 12.4k 1.2× 1.0k 0.3× 3.2k 1.1× 2.2k 0.8× 587 34.7k
Deborah A. Nickerson United States 72 12.8k 1.0× 11.0k 1.0× 1.4k 0.5× 1.1k 0.4× 1.6k 0.6× 290 25.3k

Countries citing papers authored by Joel N. Hirschhorn

Since Specialization
Citations

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

Fields of papers citing papers by Joel N. Hirschhorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel N. Hirschhorn. 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 Joel N. Hirschhorn. The network helps show where Joel N. Hirschhorn may publish in the future.

Co-authorship network of co-authors of Joel N. Hirschhorn

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

All Works

20 of 20 papers shown
1.
Richard, Daniel, Pushpanathan Muthuirulan, Mariel Young, et al.. (2024). Functional genomics of human skeletal development and the patterning of height heritability. Cell. 188(1). 15–32.e24. 9 indexed citations
2.
Hemerich, Daiane, et al.. (2024). An integrative framework to prioritize genes in more than 500 loci associated with body mass index. The American Journal of Human Genetics. 111(6). 1035–1046. 10 indexed citations
3.
Zhu, Jia, Anders Eliasen, Izzuddin M. Aris, et al.. (2023). Pediatric Features of Genetic Predisposition to Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 109(2). 380–388. 2 indexed citations
4.
Tanofsky‐Kraff, Marian, et al.. (2023). Phenotyping children and adolescents with obesity using behavioral, psychological, and familial data. Obesity. 31(12). 3016–3024. 4 indexed citations
5.
Bartell, Eric, Masanobu Fujimoto, Jane Khoury, et al.. (2020). Protein QTL analysis of IGF-I and its binding proteins provides insights into growth biology. Human Molecular Genetics. 29(15). 2625–2636. 1 indexed citations
6.
Hsu, Yu-Han H., Christina M. Astley, Joanne B. Cole, et al.. (2020). Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome. International Journal of Obesity. 44(7). 1596–1606. 17 indexed citations
7.
Ulirsch, Jacob C., Caleb A. Lareau, Erik L. Bao, et al.. (2019). Interrogation of human hematopoiesis at single-cell and single-variant resolution. Nature Genetics. 51(4). 683–693. 102 indexed citations
8.
Marouli, Eirini, Fabiola Del Greco M, Christina M. Astley, et al.. (2019). Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease. Communications Biology. 2(1). 119–119. 31 indexed citations
9.
Kantor, David B., Eliotte L. Hirshberg, John H. Griffin, et al.. (2018). Fluid Balance Is Associated with Clinical Outcomes and Extravascular Lung Water in Children with Acute Asthma Exacerbation. American Journal of Respiratory and Critical Care Medicine. 197(9). 1128–1135. 10 indexed citations
10.
Guo, Michael H., Zun Liu, Cameron Shaw, et al.. (2017). Epigenetic profiling of growth plate chondrocytes sheds insight into regulatory genetic variation influencing height. eLife. 6. 24 indexed citations
11.
Kantor, David B., Nicole Stenquist, Craig D Smallwood, et al.. (2016). Omalizumab Is Associated with Reduced Acute Severity of Rhinovirus-triggered Asthma Exacerbation. American Journal of Respiratory and Critical Care Medicine. 194(12). 1552–1555. 30 indexed citations
12.
Pers, Tune H., Juha Karjalainen, Yingleong Chan, et al.. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications. 6(1). 5890–5890. 359 indexed citations breakdown →
13.
Evans, David M., Marie‐Jo Brion, Lavinia Paternoster, et al.. (2013). Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates. PLoS Genetics. 9(10). e1003919–e1003919. 53 indexed citations
14.
Ito, Kaoru, Alexander G. Bick, Jason Flannick, et al.. (2013). Increased Burden of Cardiovascular Disease in Carriers of APOL1 Genetic Variants. Circulation Research. 114(5). 845–850. 110 indexed citations
15.
Vimaleswaran, Karani S., Ioanna Tachmazidou, Jing Hua Zhao, et al.. (2012). Candidate genes for obesity-susceptibility show enriched association within a large genome-wide association study for BMI. Human Molecular Genetics. 21(20). 4537–4542. 31 indexed citations
16.
Sankaran, Vijay G., Tobias Menne, Jian Xu, et al.. (2008). Human Fetal Hemoglobin Expression Is Regulated by the Developmental Stage-Specific Repressor BCL11A. Science. 322(5909). 1839–1842. 668 indexed citations breakdown →
17.
Kathiresan, Sekar, Olle Melander, Dragi Anevski, et al.. (2008). Polymorphisms Associated with Cholesterol and Risk of Cardiovascular Events. New England Journal of Medicine. 358(12). 1240–1249. 494 indexed citations
18.
Newton‐Cheh, Christopher, Chao‐Yu Guo, Martin G. Larson, et al.. (2007). Common Genetic Variation in KCNH2 Is Associated With QT Interval Duration. Circulation. 116(10). 1128–1136. 62 indexed citations
19.
Newton‐Cheh, Christopher, Chao‐Yu Guo, Philimon Gona, et al.. (2007). Clinical and Genetic Correlates of Aldosterone-to-Renin Ratio and Relations to Blood Pressure in a Community Sample. Hypertension. 49(4). 846–856. 163 indexed citations
20.
Lyon, Helen N., José C. Florez, Richa Saxena, et al.. (2006). Common Variants in the ENPP1 Gene Are Not Reproducibly Associated With Diabetes or Obesity. Diabetes. 55(11). 3180–3184. 65 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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