Jonathan J Song

1.0k total citations · 1 hit paper
6 papers, 583 citations indexed

About

Jonathan J Song is a scholar working on Epidemiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonathan J Song has authored 6 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonathan J Song's work include Acute Ischemic Stroke Management (2 papers), vaccines and immunoinformatics approaches (1 paper) and Urinary Tract Infections Management (1 paper). Jonathan J Song is often cited by papers focused on Acute Ischemic Stroke Management (2 papers), vaccines and immunoinformatics approaches (1 paper) and Urinary Tract Infections Management (1 paper). Jonathan J Song collaborates with scholars based in United States, United Kingdom and Canada. Jonathan J Song's co-authors include Malachi Griffith, Obi L. Griffith, Susanna Kiwala, Joshua F. McMichael, Alex H. Wagner, Adam Coffman, Kelsy C. Cotto, Sharon L. Freshour, William E. Gillanders and Janet E. Cowan and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Genome Medicine.

In The Last Decade

Jonathan J Song

4 papers receiving 579 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.

Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts

2020 580 citations Sharon L. Freshour, Susanna Kiwala et al. Nucleic Acids Research profile →

Peers

Jonathan J Song

MB

PRM

CR

GENET

CTM

Sharon L. Freshour United States

Tania Islam Bangladesh

Anders Riutta United States

Beste Turanlı Türkiye

Esra Göv Türkiye

Gareth Peat United Kingdom

Dylan M. Glubb Australia

Laurent Winckers Netherlands

Diego Carrella Italy

Lauren J. Dupuis Netherlands

Sharon L. Freshour United States

Jonathan J Song

339 ×1.0

MB

120 ×1.0

PRM

103 ×1.0

CR

91 ×1.0

GENET

82 ×1.0

CTM

Citations per year, relative to Jonathan J Song Jonathan J Song (= 1×) peers Sharon L. Freshour

Countries citing papers authored by Jonathan J Song

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan J Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan J Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J Song. A scholar is included among the top collaborators of Jonathan J Song 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 Jonathan J Song. Jonathan J Song 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:

6 of 6 papers shown

1.

Song, Jonathan J, Stelios M. Smirnakis, Emily J. Gilmore, et al.. (2025). Later midline shift is associated with better post-hospitalization discharge status after large middle cerebral artery stroke. Scientific Reports. 15(1). 11738–11738.

2.

Song, Jonathan J, et al.. (2025). Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke. npj Digital Medicine. 8(1). 288–288. 1 indexed citations

3.

Shee, Kevin, Jonathan J Song, Janet E. Cowan, et al.. (2025). The Natural History of Confirmed Grade Group 1 Prostate Cancer Managed with Active Surveillance in the Modern Era. European Urology Oncology. 8(4). 1094–1100.

4.

Kiwala, Susanna, Zachary L. Skidmore, Jonathan J Song, et al.. (2024). pVACview: an interactive visualization tool for efficient neoantigen prioritization and selection. Genome Medicine. 16(1). 132–132. 1 indexed citations

5.

Song, Jonathan J, William R. Boysen, Steven L. Chang, et al.. (2024). Unsupervised Machine Learning to Identify Risk Factors of Pyeloplasty Failure in Ureteropelvic Junction Obstruction. Journal of Endourology. 38(11). 1164–1171. 1 indexed citations

6.

Freshour, Sharon L., Susanna Kiwala, Kelsy C. Cotto, et al.. (2020). Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts. Nucleic Acids Research. 49(D1). D1144–D1151. 580 indexed citations breakdown →

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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