John J. Farrell

2.4k total citations
41 papers, 982 citations indexed

About

John J. Farrell is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, John J. Farrell has authored 41 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Genetics and 12 papers in Genetics. Recurrent topics in John J. Farrell's work include Genetic Associations and Epidemiology (13 papers), Hemoglobinopathies and Related Disorders (12 papers) and Iron Metabolism and Disorders (9 papers). John J. Farrell is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Hemoglobinopathies and Related Disorders (12 papers) and Iron Metabolism and Disorders (9 papers). John J. Farrell collaborates with scholars based in United States, Saudi Arabia and India. John J. Farrell's co-authors include Richard S. Moog, J. N. Spencer, Lindsay A. Farrer, W. C. Koehler, R. M. Moon, Martin H. Steinberg, Clinton T. Baldwin, Qianli Ma, Kathryn L. Lunetta and Diego F. Wyszynski and has published in prestigious journals such as Nature, Blood and Bioinformatics.

In The Last Decade

John J. Farrell

38 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Farrell United States 13 270 250 226 219 128 41 982
Susan Bell United Kingdom 13 48 0.2× 34 0.1× 124 0.5× 210 1.0× 12 0.1× 28 676
Laurie L. Parker United States 20 53 0.2× 51 0.2× 66 0.3× 731 3.3× 9 0.1× 56 1.3k
Ting Xiao China 25 288 1.1× 6 0.0× 15 0.1× 624 2.8× 10 0.1× 88 2.0k
Petra B. Schumacher Germany 22 60 0.2× 16 0.1× 86 0.4× 394 1.8× 25 0.2× 84 1.8k
P. I. Imoukhuede United States 21 64 0.2× 22 0.1× 12 0.1× 763 3.5× 11 0.1× 49 1.3k
Ian N. Fleming United Kingdom 25 101 0.4× 26 0.1× 35 0.2× 1.4k 6.6× 5 0.0× 72 2.5k
Michael J. Potter Canada 23 129 0.5× 20 0.1× 86 0.4× 680 3.1× 5 0.0× 59 1.5k
Dariusz Leszczyński Finland 24 31 0.1× 10 0.0× 24 0.1× 413 1.9× 14 0.1× 90 2.0k
C.E. Cobb United States 11 11 0.0× 191 0.8× 10 0.0× 253 1.2× 29 0.2× 12 669
William M. Spees United States 15 32 0.1× 38 0.2× 7 0.0× 164 0.7× 13 0.1× 29 971

Countries citing papers authored by John J. Farrell

Since Specialization
Citations

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

Fields of papers citing papers by John J. Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Farrell. 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 John J. Farrell. The network helps show where John J. Farrell may publish in the future.

Co-authorship network of co-authors of John J. Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Farrell. A scholar is included among the top collaborators of John J. Farrell 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 John J. Farrell. John J. Farrell 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.
Astorga, R., et al.. (2025). Salmon juveniles are vulnerable to predation by invasive African clawed frogs in Washington state. Canadian Journal of Zoology. 103. 1–10.
2.
Tong, Tong, Congcong Zhu, John J. Farrell, et al.. (2024). Blood-derived mitochondrial DNA copy number is associated with Alzheimer disease, Alzheimer-related biomarkers and serum metabolites. Alzheimer s Research & Therapy. 16(1). 234–234. 9 indexed citations
3.
Malamon, John, John J. Farrell, Beth A. Dombroski, et al.. (2024). A comparative study of structural variant calling in WGS from Alzheimer’s disease families. Life Science Alliance. 7(5). e202302181–e202302181. 3 indexed citations
4.
Zhu, Congcong, Tong Tong, John J. Farrell, et al.. (2024). MitoH3: Mitochondrial Haplogroup and Homoplasmic/Heteroplasmic Variant Calling Pipeline for Alzheimer’s Disease Sequencing Project. Journal of Alzheimer s Disease Reports. 8(1). 575–587.
5.
Farrell, John J., Congcong Zhu, Lee M. Wetzler, et al.. (2023). DNA from multiple viral species is associated with Alzheimer's disease risk. Alzheimer s & Dementia. 20(1). 253–265. 6 indexed citations
6.
Tao, Qiushan, Ting Fang Alvin Ang, John J. Farrell, et al.. (2022). The impact of increasing levels of blood C-reactive protein on the inflammatory loci SPI1 and CD33 in Alzheimer’s disease. Translational Psychiatry. 12(1). 523–523. 11 indexed citations
7.
Jin, Bowen, John A. Capra, Penelope Benchek, et al.. (2022). An association test of the spatial distribution of rare missense variants within protein structures identifies Alzheimer's disease–related patterns. Genome Research. 32(4). 778–790. 3 indexed citations
8.
Patel, Devanshi, Xiaoling Zhang, John J. Farrell, et al.. (2021). Cell-type-specific expression quantitative trait loci associated with Alzheimer disease in blood and brain tissue. Translational Psychiatry. 11(1). 250–250. 34 indexed citations
9.
Zhang, Xiaoling, John J. Farrell, Tong Tong, et al.. (2021). Association of mitochondrial variants and haplogroups identified by whole exome sequencing with Alzheimer's disease. Alzheimer s & Dementia. 18(2). 294–306. 17 indexed citations
10.
Chung, Jaeyoon, Madeline Uretsky, Bobak Abdolmohammadi, et al.. (2020). Genome‐wide interaction study of smoking in Alzheimer’s disease. Alzheimer s & Dementia. 16(S3). 1 indexed citations
11.
Morrison, Tasha, John J. Farrell, Ryo Kurita, et al.. (2017). A Long Noncoding RNA from the HBS1L-MYB Intergenic Region on Chr6q23 Regulates Human Fetal Hemoglobin Expression. Blood. 130. 288–288. 2 indexed citations
12.
Mohammed, Elmutaz Shaikho Elhaj, John J. Farrell, Abdulrahman Alsultan, et al.. (2017). A phased SNP-based classification of sickle cell anemia HBB haplotypes. BMC Genomics. 18(1). 608–608. 31 indexed citations
13.
Sebastiani, Paola, John J. Farrell, Heather M. Shappell, et al.. (2015). BCL11A enhancer haplotypes and fetal hemoglobin in sickle cell anemia. Blood Cells Molecules and Diseases. 54(3). 224–230. 32 indexed citations
14.
Gibney, Geoffrey T., Carolien Panhuysen, Jason C. C. So, et al.. (2008). Variation and heritability of Hb F and F‐cells among β‐thalassemia heterozygotes in Hong Kong. American Journal of Hematology. 83(6). 458–464. 30 indexed citations
15.
Ma, Qianli, Diego F. Wyszynski, John J. Farrell, et al.. (2007). Fetal hemoglobin in sickle cell anemia: genetic determinants of response to hydroxyurea. The Pharmacogenomics Journal. 7(6). 386–394. 92 indexed citations
16.
17.
Ma, Qianli, Yi Yu, Yan Meng, et al.. (2005). Genome-wide linkage analysis for alcohol dependence: a comparison between single-nucleotide polymorphism and microsatellite marker assays. BMC Genetics. 6(S1). S8–S8. 4 indexed citations
18.
Meng, Yan, Qianli Ma, Yi Yu, et al.. (2005). Multifactor-dimensionality reduction versus family-based association tests in detecting susceptibility loci in discordant sib-pair studies. BMC Genetics. 6(S1). S146–S146. 3 indexed citations
19.
Wilcox, Marsha, Diego F. Wyszynski, Carolien Panhuysen, et al.. (2003). Empirically derived phenotypic subgroups – qualitative and quantitative trait analyses. BMC Genetics. 4(S1). S15–S15. 14 indexed citations
20.
Mills, R, Carl W. Walter, Lata Venkataraman, Kevin Pang, & John J. Farrell. (1988). A novel cancer therapy using a Mössbauer-isotope compound. Nature. 336(6201). 787–789. 23 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

Breakdown of academic impact, for papers by Susan Bell Breakdown of academic impact, for papers by Laurie L. Parker Breakdown of academic impact, for papers by Ting Xiao Breakdown of academic impact, for papers by Petra B. Schumacher Breakdown of academic impact, for papers by P. I. Imoukhuede Breakdown of academic impact, for papers by Ian N. Fleming Breakdown of academic impact, for papers by Michael J. Potter Breakdown of academic impact, for papers by Dariusz Leszczyński Breakdown of academic impact, for papers by C.E. Cobb Breakdown of academic impact, for papers by William M. Spees
Rankless by CCL
2026