Craig Hyde

11.7k total citations · 2 hit papers
38 papers, 2.3k citations indexed

About

Craig Hyde is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Craig Hyde has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 8 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Craig Hyde's work include Genetic Associations and Epidemiology (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Computational Drug Discovery Methods (4 papers). Craig Hyde is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Computational Drug Discovery Methods (4 papers). Craig Hyde collaborates with scholars based in United States, United Kingdom and Italy. Craig Hyde's co-authors include David A. Hinds, Sara A. Paciga, Michael W. Nagle, Ashley R. Winslow, Roy H. Perlis, Joyce Y. Tung, Xing Chen, Jens R. Wendland, Chao Tian and John F. Thompson and has published in prestigious journals such as The Lancet, Circulation and Nature Genetics.

In The Last Decade

Craig Hyde

35 papers receiving 2.2k 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.

Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials

2015 455 citations Jessica L. Mega, Nathan O. Stitziel et al. The Lancet profile →
Identification of 15 genetic loci associated with risk of major depression in individuals of European descent

2016 448 citations Craig Hyde, Michael W. Nagle et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Hyde United States	18	768	548	515	343	325	38	2.3k
Tom G. Richardson United Kingdom	29	1.3k 1.7×	786 1.4×	427 0.8×	249 0.7×	363 1.1×	92	2.8k
Jaana Hartiala United States	29	686 0.9×	600 1.1×	396 0.8×	261 0.8×	244 0.8×	58	2.5k
Todd L. Edwards United States	30	596 0.8×	750 1.4×	381 0.7×	305 0.9×	165 0.5×	111	2.9k
Seung Hoan Choi United States	17	1.1k 1.5×	874 1.6×	390 0.8×	1.0k 3.0×	162 0.5×	44	3.2k
Sara Hamon United States	29	248 0.3×	681 1.2×	447 0.9×	329 1.0×	293 0.9×	71	2.3k
Antti Jula Finland	18	387 0.5×	378 0.7×	201 0.4×	345 1.0×	221 0.7×	31	1.7k
Larry D. Atwood United States	30	1.2k 1.6×	803 1.5×	279 0.5×	650 1.9×	536 1.6×	58	3.3k
Michal Anděl Czechia	28	484 0.6×	598 1.1×	595 1.2×	119 0.3×	481 1.5×	118	2.2k
Adrienne Tin United States	28	403 0.5×	682 1.2×	164 0.3×	162 0.5×	158 0.5×	84	2.4k
Rona J. Strawbridge Sweden	24	354 0.5×	495 0.9×	190 0.4×	240 0.7×	125 0.4×	83	2.0k

Countries citing papers authored by Craig Hyde

Since Specialization

Citations

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

Fields of papers citing papers by Craig Hyde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Hyde

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

Li, Xi, Elena Peeva, Yuji Yamaguchi, et al.. (2025). Multiomics Analysis of the Response to Ritlecitinib in Alopecia Areata Subtypes and Correlation With Efficacy. Allergy. 80(8). 2348–2360.

Li, Xi, Elena Peeva, Yuji Yamaguchi, et al.. (2025). Integrated Meta-Analysis of Scalp Transcriptomics and Serum Proteomics Defines Alopecia Areata Subtypes and Core Disease Pathways. International Journal of Molecular Sciences. 26(19). 9662–9662.

Baniecki, Mary Lynn, K. Devendra, Qingyi Yang, et al.. (2025). Integrated virologic analysis of resistance to nirmatrelvir/ritonavir in individuals across four phase 2/3 clinical studies for the treatment of COVID-19. EBioMedicine. 118. 105819–105819.

Peeva, Elena, Yuji Yamaguchi, Zhan Ye, et al.. (2024). Efficacy and safety of ritlecitinib in vitiligo patients across Fitzpatrick skin types with biomarker analyses. Experimental Dermatology. 33(9). e15177–e15177. 2 indexed citations

Cohen, Stanley M., Jean S. Beebe, Vishala Chindalore, et al.. (2024). A Phase 1, randomized, double-blind, placebo-controlled, single- and multiple-dose escalation study to evaluate the safety and pharmacokinetics/pharmacodynamics of PF-06835375, a C-X-C chemokine receptor type 5 directed antibody, in patients with systemic lupus erythematosus or rheumatoid arthritis. Arthritis Research & Therapy. 26(1). 117–117. 5 indexed citations

Charles‐Schoeman, Christina, et al.. (2023). Relationship Between Paraoxonase-1 Genotype and Activity, and Major Adverse Cardiovascular Events and Malignancies in Patients With Rheumatoid Arthritis Receiving Tofacitinib. The Journal of Rheumatology. 50(12). 1573–1580. 3 indexed citations

Guttman‐Yassky, Emma, Ester Del Duca, Joel Corrêa da Rosa, et al.. (2023). Improvements in immune/melanocyte biomarkers with JAK3/TEC family kinase inhibitor ritlecitinib in vitiligo. Journal of Allergy and Clinical Immunology. 153(1). 161–172.e8. 27 indexed citations

Baniecki, Mary Lynn, Zhenyu Wang, Yan Chen, et al.. (2023). 361. Evaluation of Resistance to Nirmatrelvir/ritonavir in Evaluation of Protease Inhibition for COVID-19 (EPIC) High-Risk and Standard-Risk Clinical Trials. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations

Fauman, Eric B. & Craig Hyde. (2022). An optimal variant to gene distance window derived from an empirical definition of cis and trans protein QTLs. BMC Bioinformatics. 23(1). 169–169. 31 indexed citations

10.

Chasman, Daniel I., Craig Hyde, Franco Giulianini, et al.. (2022). Genome-wide pharmacogenetics of anti-drug antibody response to bococizumab highlights key residues in HLA DRB1 and DQB1. Scientific Reports. 12(1). 4266–4266. 4 indexed citations

11.

Winslow, Ashley R., Craig Hyde, Jemma B. Wilk, et al.. (2018). Self-report data as a tool for subtype identification in genetically-defined Parkinson’s Disease. Scientific Reports. 8(1). 12992–12992. 10 indexed citations

12.

Williams, Stephen A., Robert Kirk DeLisle, Craig Hyde, et al.. (2017). Improving Assessment of Drug Safety Through Proteomics. Circulation. 137(10). 999–1010. 25 indexed citations

13.

Hyde, Craig, Shaum Kabadi, Vinícius Bonato, et al.. (2016). Utilization of Positive and Negative Controls to Examine Comorbid Associations in Observational Database Studies. Medical Care. 55(3). 244–251. 17 indexed citations

14.

Hyde, Craig, Michael W. Nagle, Chao Tian, et al.. (2016). Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nature Genetics. 48(9). 1031–1036. 448 indexed citations breakdown →

15.

Mega, Jessica L., Nathan O. Stitziel, J. G. Smith, et al.. (2015). Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. The Lancet. 385(9984). 2264–2271. 455 indexed citations breakdown →

16.

Reynolds, Jennifer M., Sara A. Paciga, Frances Sanders, et al.. (2012). Sequence Analysis of the IL28A/IL28B Inverted Gene Duplication That Contains Polymorphisms Associated with Treatment Response in Hepatitis C Patients. PLoS ONE. 7(1). e29983–e29983. 5 indexed citations

17.

Gossell‐Williams, Maxine, et al.. (2011). Improvement in HDL cholesterol in postmenopausal women supplemented with pumpkin seed oil: pilot study. Climacteric. 14(5). 558–564. 34 indexed citations

18.

Barber, Mathew, Lara M. Mangravite, Craig Hyde, et al.. (2010). Genome-Wide Association of Lipid-Lowering Response to Statins in Combined Study Populations. PLoS ONE. 5(3). e9763–e9763. 180 indexed citations

19.

Kooner, Jaspal S., John C. Chambers, Carlos A. Aguilar‐Salinas, et al.. (2008). Genome-wide scan identifies variation in MLXIPL associated with plasma triglycerides. Nature Genetics. 40(2). 149–151. 239 indexed citations

20.

Thompson, John F., Linda S. Wood, Eve H. Pickering, Bryan Dechairo, & Craig Hyde. (2006). High-density genotyping and functional SNP localization in the CETP gene. Journal of Lipid Research. 48(2). 434–443. 22 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