Jaclyn Taroni

1.3k total citations
21 papers, 753 citations indexed

About

Jaclyn Taroni is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Jaclyn Taroni has authored 21 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Jaclyn Taroni's work include Systemic Sclerosis and Related Diseases (9 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Gene expression and cancer classification (4 papers). Jaclyn Taroni is often cited by papers focused on Systemic Sclerosis and Related Diseases (9 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Gene expression and cancer classification (4 papers). Jaclyn Taroni collaborates with scholars based in United States, Germany and United Kingdom. Jaclyn Taroni's co-authors include Casey S. Greene, Michael L. Whitfield, J. Matthew Mahoney, Monique Hinchcliff, Viktor Martyanov, Tammara Wood, Patricia A. Pioli, Peter C. Grayson, Sean Eddy and Peter A. Merkel and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Methods.

In The Last Decade

Jaclyn Taroni

20 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaclyn Taroni United States 14 329 310 168 149 100 21 753
Jeong Hee Cho‐Vega United States 18 476 1.4× 512 1.7× 103 0.6× 156 1.0× 168 1.7× 44 1.4k
Mohamed H. Zaki United States 19 132 0.4× 609 2.0× 166 1.0× 301 2.0× 145 1.4× 77 1.3k
Takeru Funakoshi Japan 20 186 0.6× 315 1.0× 201 1.2× 510 3.4× 197 2.0× 83 1.4k
Kathleen McKeever United States 13 124 0.4× 173 0.6× 72 0.4× 278 1.9× 46 0.5× 23 777
Takahiro Shimizu Japan 17 141 0.4× 280 0.9× 171 1.0× 128 0.9× 193 1.9× 48 895
Hongzhen Yang China 12 64 0.2× 266 0.9× 263 1.6× 311 2.1× 162 1.6× 28 846
A. Brocard France 21 121 0.4× 295 1.0× 116 0.7× 283 1.9× 505 5.0× 51 1.4k
Qianjin Lu China 16 101 0.3× 308 1.0× 21 0.1× 393 2.6× 72 0.7× 44 908
Fanny Baran‐Marszak France 20 437 1.3× 428 1.4× 115 0.7× 440 3.0× 71 0.7× 45 1.2k

Countries citing papers authored by Jaclyn Taroni

Since Specialization
Citations

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

Fields of papers citing papers by Jaclyn Taroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaclyn Taroni

This figure shows the co-authorship network connecting the top 25 collaborators of Jaclyn Taroni. A scholar is included among the top collaborators of Jaclyn Taroni 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 Jaclyn Taroni. Jaclyn Taroni 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.
Banerjee, Jineta, et al.. (2023). Machine learning in rare disease. Nature Methods. 20(6). 803–814. 44 indexed citations
2.
Foltz, Steven M., Casey S. Greene, & Jaclyn Taroni. (2023). Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously. Communications Biology. 6(1). 222–222. 21 indexed citations
3.
Oh, Sehyun, Ludwig Geistlinger, Marcel Ramos, et al.. (2022). GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databases. Nature Communications. 13(1). 3695–3695. 7 indexed citations
4.
Gaonkar, Krutika S., Fédérico Marini, Komal S. Rathi, et al.. (2020). annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions. BMC Bioinformatics. 21(1). 577–577. 7 indexed citations
5.
Banerjee, Jineta, Robert J. Allaway, Jaclyn Taroni, et al.. (2020). Integrative Analysis Identifies Candidate Tumor Microenvironment and Intracellular Signaling Pathways that Define Tumor Heterogeneity in NF1. Genes. 11(2). 226–226. 9 indexed citations
6.
Taroni, Jaclyn, Peter C. Grayson, Qiwen Hu, et al.. (2019). MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Systems. 8(5). 380–394.e4. 74 indexed citations
7.
Taroni, Jaclyn. (2019). Making Workshops Work: Insights from EDAMAME. mSystems. 4(4). 1 indexed citations
8.
Collins, Alan J., Jaclyn Taroni, Timothy J. Gauvin, et al.. (2018). A Multimodal Strategy Used by a Large c-di-GMP Network. Journal of Bacteriology. 200(8). 42 indexed citations
9.
Hinchcliff, Monique, Diana M. Toledo, Jaclyn Taroni, et al.. (2018). Mycophenolate Mofetil Treatment of Systemic Sclerosis Reduces Myeloid Cell Numbers and Attenuates the Inflammatory Gene Signature in Skin. Journal of Investigative Dermatology. 138(6). 1301–1310. 43 indexed citations
10.
Grayson, Peter C., Sean Eddy, Jaclyn Taroni, et al.. (2018). Metabolic pathways and immunometabolism in rare kidney diseases. Annals of the Rheumatic Diseases. 77(8). 1226–1233. 124 indexed citations
11.
Taroni, Jaclyn, J. Matthew Mahoney, & Michael L. Whitfield. (2017). The Mechanistic Implications of Gene Expression Studies in SSc: Insights From Systems Biology. PubMed. 3(3). 181–192. 6 indexed citations
12.
Taroni, Jaclyn, Casey S. Greene, Viktor Martyanov, et al.. (2017). A novel multi-network approach reveals tissue-specific cellular modulators of fibrosis in systemic sclerosis. Genome Medicine. 9(1). 27–27. 80 indexed citations
13.
Johnson, Michael E., Andrew V. Grassetti, Jaclyn Taroni, et al.. (2016). Stress granules and RNA processing bodies are novel autoantibody targets in systemic sclerosis. Arthritis Research & Therapy. 18(1). 27–27. 16 indexed citations
14.
Taroni, Jaclyn, Viktor Martyanov, J. Matthew Mahoney, & Michael L. Whitfield. (2016). A Functional Genomic Meta-Analysis of Clinical Trials in Systemic Sclerosis: Toward Precision Medicine and Combination Therapy. Journal of Investigative Dermatology. 137(5). 1033–1041. 20 indexed citations
15.
Krishnan, Arjun, Jaclyn Taroni, & Casey S. Greene. (2016). Integrative Networks Illuminate Biological Factors Underlying Gene–Disease Associations. 4(4). 155–162. 4 indexed citations
16.
Sargent, Jennifer L., Zhenghui Li, Antonios O. Aliprantis, et al.. (2016). Identification of Optimal Mouse Models of Systemic Sclerosis by Interspecies Comparative Genomics. Arthritis & Rheumatology. 68(8). 2003–2015. 30 indexed citations
17.
Taroni, Jaclyn, Viktor Martyanov, Chiang‐Ching Huang, et al.. (2015). Molecular characterization of systemic sclerosis esophageal pathology identifies inflammatory and proliferative signatures. Arthritis Research & Therapy. 17(1). 194–194. 38 indexed citations
18.
Mahoney, J. Matthew, Jaclyn Taroni, Viktor Martyanov, et al.. (2015). Systems Level Analysis of Systemic Sclerosis Shows a Network of Immune and Profibrotic Pathways Connected with Genetic Polymorphisms. PLoS Computational Biology. 11(1). e1004005–e1004005. 107 indexed citations
19.
Johnson, Michael E., J. Matthew Mahoney, Jaclyn Taroni, et al.. (2015). Experimentally-Derived Fibroblast Gene Signatures Identify Molecular Pathways Associated with Distinct Subsets of Systemic Sclerosis Patients in Three Independent Cohorts. PLoS ONE. 10(1). e0114017–e0114017. 61 indexed citations
20.
Phopin, Kamonrat, et al.. (2013). Roles of mouse sperm‐associated alpha‐L‐fucosidases in fertilization. Molecular Reproduction and Development. 80(4). 273–285. 19 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 Jeong Hee Cho‐Vega Breakdown of academic impact, for papers by Mohamed H. Zaki Breakdown of academic impact, for papers by Takeru Funakoshi Breakdown of academic impact, for papers by Kathleen McKeever Breakdown of academic impact, for papers by Takahiro Shimizu Breakdown of academic impact, for papers by Hongzhen Yang Breakdown of academic impact, for papers by A. Brocard Breakdown of academic impact, for papers by Qianjin Lu Breakdown of academic impact, for papers by Fanny Baran‐Marszak
Rankless by CCL
2026