Jonathon Romero

698 total citations
10 papers, 382 citations indexed

About

Jonathon Romero is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Jonathon Romero has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Jonathon Romero's work include Gene Regulatory Network Analysis (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Jonathon Romero is often cited by papers focused on Gene Regulatory Network Analysis (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Jonathon Romero collaborates with scholars based in United States, United Kingdom and Italy. Jonathon Romero's co-authors include Daniel Jacobson, David Kainer, Gerald A. Tuskan, Antoine Harfouche, Ashley Cliff, Antoine Harfouche, Giuseppe Scarascia Mugnozza, Joost J. B. Keurentjes, Arie Altman and Menachem Moshelion and has published in prestigious journals such as Nucleic Acids Research, Journal of Neurophysiology and Genome biology.

In The Last Decade

Jonathon Romero

10 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathon Romero United States 9 123 75 55 50 32 10 382
Anuj Srivastava United States 12 55 0.4× 280 3.7× 173 3.1× 40 0.8× 17 0.5× 30 632
Nilesh Kumar India 11 86 0.7× 176 2.3× 26 0.5× 21 0.4× 10 0.3× 51 382
Zhihao Peng China 16 76 0.6× 49 0.7× 26 0.5× 27 0.5× 19 0.6× 48 658
Xiao Hong Zhao China 13 73 0.6× 214 2.9× 102 1.9× 15 0.3× 18 0.6× 43 628
Yuze Li China 12 155 1.3× 164 2.2× 23 0.4× 28 0.6× 9 0.3× 31 499
Ashley Cliff United States 8 33 0.3× 53 0.7× 11 0.2× 37 0.7× 13 0.4× 11 227
Lieng Taing France 6 48 0.4× 360 4.8× 99 1.8× 21 0.4× 32 1.0× 8 581
Dan‐Yang Wang China 12 85 0.7× 227 3.0× 45 0.8× 21 0.4× 12 0.4× 52 451
Sabine Schnabel Netherlands 13 264 2.1× 198 2.6× 76 1.4× 12 0.2× 39 1.2× 30 735
Elmer A. Fernández Argentina 14 39 0.3× 293 3.9× 64 1.2× 48 1.0× 15 0.5× 51 608

Countries citing papers authored by Jonathon Romero

Since Specialization
Citations

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

Fields of papers citing papers by Jonathon Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathon Romero

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

All Works

10 of 10 papers shown
1.
Noshay, Jaclyn M, William G. Alexander, Dawn M. Klingeman, et al.. (2023). Quantum biological insights into CRISPR-Cas9 sgRNA efficiency from explainable-AI driven feature engineering. Nucleic Acids Research. 51(19). 10147–10161. 10 indexed citations
2.
Walker, Angelica M., Kyle A. Sullivan, Ashley Cliff, et al.. (2023). Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts. Frontiers in Psychiatry. 14. 1178633–1178633. 5 indexed citations
3.
Ko, Kang I., Zhen Huang, Y Horiuchi, et al.. (2022). NF-κB perturbation reveals unique immunomodulatory functions in Prx1 + fibroblasts that promote development of atopic dermatitis. Science Translational Medicine. 14(630). eabj0324–eabj0324. 47 indexed citations
4.
Walker, Angelica M., Ashley Cliff, Jonathon Romero, et al.. (2022). Evaluating the performance of random forest and iterative random forest based methods when applied to gene expression data. Computational and Structural Biotechnology Journal. 20. 3372–3386. 30 indexed citations
5.
Justice, Amy C., Kirsha S. Gordon, Jonathon Romero, et al.. (2021). Polypharmacy-associated risk of hospitalisation among people ageing with and without HIV: an observational study. The Lancet Healthy Longevity. 2(10). e639–e650. 22 indexed citations
6.
Streich, Jared, Jonathon Romero, David Kainer, et al.. (2020). Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?. Current Opinion in Biotechnology. 61. 217–225. 39 indexed citations
7.
Garvin, Michael R., Érica T. Prates, Piet Jones, et al.. (2020). Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models. Genome biology. 21(1). 304–304. 43 indexed citations
8.
Zhang, Xiaoying, Joshua Price, Piet Jones, et al.. (2020). Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia. Journal of Neurophysiology. 123(6). 2285–2296. 16 indexed citations
9.
Cliff, Ashley, Jonathon Romero, David Kainer, et al.. (2019). A High-Performance Computing Implementation of Iterative Random Forest for the Creation of Predictive Expression Networks. Genes. 10(12). 996–996. 23 indexed citations
10.
Harfouche, Antoine, Daniel Jacobson, David Kainer, et al.. (2019). Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence. Trends in biotechnology. 37(11). 1217–1235. 147 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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2026