Stephen Turner

12.3k total citations · 2 hit papers
93 papers, 4.0k citations indexed

About

Stephen Turner is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Stephen Turner has authored 93 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Genetics and 15 papers in Immunology. Recurrent topics in Stephen Turner's work include Genetic Associations and Epidemiology (12 papers), Forensic and Genetic Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Stephen Turner is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Forensic and Genetic Research (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Stephen Turner collaborates with scholars based in United States, United Kingdom and Australia. Stephen Turner's co-authors include Jeffrey J. Lysiak, Terry T. Turner, Alexander F. Koeppel, William A. Petri, Carol A. Gilchrist, Wendy Baker, Igor Smirnov, Jonathan Kipnis, Vladimir Litvak and Erik L. Hewlett and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Stephen Turner

88 papers receiving 4.0k citations

Hit Papers

qqman: an R package for visualizing GWAS results using Q-... 2016 2026 2019 2022 2018 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Turner United States 29 1.4k 791 650 428 409 93 4.0k
Gene B. Hubbard United States 42 1.8k 1.4× 784 1.0× 741 1.1× 1.4k 3.2× 529 1.3× 239 6.7k
John D. Bancroft United States 14 1.4k 1.0× 478 0.6× 633 1.0× 545 1.3× 763 1.9× 25 6.9k
Patrick Descombes Switzerland 46 4.2k 3.1× 1.3k 1.6× 828 1.3× 570 1.3× 514 1.3× 82 7.8k
Eric D. Green United States 36 3.8k 2.8× 1.5k 2.0× 449 0.7× 499 1.2× 475 1.2× 65 7.7k
Lihong Zhang China 38 1.9k 1.4× 322 0.4× 416 0.6× 1.3k 3.0× 415 1.0× 238 5.6k
Kazuyuki Uchida Japan 33 1.2k 0.9× 733 0.9× 375 0.6× 852 2.0× 435 1.1× 365 4.9k
Jun Miyoshi Japan 46 3.9k 2.9× 834 1.1× 1.2k 1.9× 625 1.5× 572 1.4× 160 6.8k
Yasuhiro Yoshikawa Japan 35 1.3k 0.9× 581 0.7× 490 0.8× 796 1.9× 223 0.5× 244 4.6k
Jie Tang China 33 1.8k 1.3× 276 0.3× 618 1.0× 390 0.9× 509 1.2× 129 4.1k
Cory Teuscher United States 46 1.9k 1.4× 1.2k 1.5× 3.0k 4.6× 464 1.1× 382 0.9× 189 7.0k

Countries citing papers authored by Stephen Turner

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Turner

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Turner. A scholar is included among the top collaborators of Stephen Turner 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 Stephen Turner. Stephen Turner 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.
Nagraj, VP, et al.. (2025). PLANES: Plausibility analysis of epidemiological signals. PLoS ONE. 20(3). e0320442–e0320442. 1 indexed citations
2.
Oosterhout, Cock van, Megan A. Supple, Hernán E. Morales, et al.. (2025). Genome engineering in biodiversity conservation and restoration. Kent Academic Repository (University of Kent). 1(8). 543–555. 2 indexed citations
4.
Peck, Michelle A., et al.. (2022). Internal Validation of the ForenSeq Kintelligence Kit for Application to Forensic Genetic Genealogy. 2(4). 103–114. 17 indexed citations
5.
Nagraj, VP, Matthew Scholz, Jianye Ge, et al.. (2022). Relationship Inference with Low-Coverage Whole Genome Sequencing on Forensic Samples. Zenodo (CERN European Organization for Nuclear Research). 2(3). 81–91. 3 indexed citations
6.
Turner, Stephen, VP Nagraj, Matthew Scholz, et al.. (2022). Evaluating the Impact of Dropout and Genotyping Error on SNP-Based Kinship Analysis With Forensic Samples. Frontiers in Genetics. 13. 882268–882268. 16 indexed citations
7.
Dickinson, Amanda, et al.. (2021). E-liquids and vanillin flavoring disrupts retinoic acid signaling and causes craniofacial defects in Xenopus embryos. Developmental Biology. 481. 14–29. 10 indexed citations
8.
Meneveau, Max O., Marit M. Melssen, Kevin Lynch, et al.. (2020). Incomplete Freund’s adjuvant reduces arginase and enhances Th1 dominance, TLR signaling and CD40 ligand expression in the vaccine site microenvironment. Journal for ImmunoTherapy of Cancer. 8(1). e000544–e000544. 23 indexed citations
9.
Goncearenco, Alexander, Hanna M. Petrykowska, Weerachai Jaratlerdsiri, et al.. (2020). DNA methylation profiles unique to Kalahari KhoeSan individuals. Epigenetics. 16(5). 537–553. 2 indexed citations
10.
Burgess, Stacey L., Jhansi L. Leslie, Md. Jashim Uddin, et al.. (2020). Gut microbiome communication with bone marrow regulates susceptibility to amebiasis. Journal of Clinical Investigation. 130(8). 4019–4024. 40 indexed citations
11.
Zhang, Ying, Nichola Cruickshanks, Fang Yuan, et al.. (2017). Targetable T-type Calcium Channels Drive Glioblastoma. Cancer Research. 77(13). 3479–3490. 81 indexed citations
13.
Cronk, James C., Noel Derecki, Yang Xu, et al.. (2015). Methyl-CpG Binding Protein 2 Regulates Microglia and Macrophage Gene Expression in Response to Inflammatory Stimuli. Immunity. 42(4). 679–691. 164 indexed citations
14.
Giorgi, Elena, Daniel O. Stram, Darin Taverna, et al.. (2014). Fine-Mapping IGF1 and Prostate Cancer Risk in African Americans: The Multiethnic Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 23(9). 1928–1932. 7 indexed citations
15.
Allen, E. Kaitlynn, Alexander F. Koeppel, J. Owen Hendley, et al.. (2014). Characterization of the nasopharyngeal microbiota in health and during rhinovirus challenge. Microbiome. 2(1). 22–22. 86 indexed citations
16.
Turner, Stephen & William S. Bush. (2010). MULTIVARIATE ANALYSIS OF REGULATORY SNPS: EMPOWERING PERSONAL GENOMICS BY CONSIDERING CIS-EPISTASIS AND HETEROGENEITY. WORLD SCIENTIFIC eBooks. 276–287. 6 indexed citations
17.
Turner, Stephen, Dana C. Crawford, & Marylyn D. Ritchie. (2009). Methods for optimizing statistical analyses in pharmacogenomics research. Expert Review of Clinical Pharmacology. 2(5). 559–570. 5 indexed citations
18.
Turner, Stephen. (2005). Livelihoods and Sharing: Trends in a Lesotho Village, 1976 - 2004. UWC Research Repository (University of the Western Cape). 40(2). 59–59. 6 indexed citations
19.
Lysiak, Jeffrey J., et al.. (2001). Essential Role of Neutrophils in Germ Cell-Specific Apoptosis Following Ischemia/Reperfusion Injury of the Mouse Testis1. Biology of Reproduction. 65(3). 718–725. 140 indexed citations
20.
Hartley, Christopher, et al.. (1981). Experimental ulcerative herpetic keratitis. IV. Preliminary observations on the efficacy of a herpes simplex subunit vaccine.. British Journal of Ophthalmology. 65(10). 679–682. 12 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

Rankless by CCL
2026