Brian Jo

10.5k total citations
4 papers, 298 citations indexed

About

Brian Jo is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Oncology. According to data from OpenAlex, Brian Jo has authored 4 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Oncology. Recurrent topics in Brian Jo's work include Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers) and Gene expression and cancer classification (2 papers). Brian Jo is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers) and Gene expression and cancer classification (2 papers). Brian Jo collaborates with scholars based in United States. Brian Jo's co-authors include Teresa Head‐Gordon, Paul S. Nerenberg, Ian C. McDowell, Barbara E. Engelhardt, Chuan Gao, Alexis Battle, Ashis Saha, Ariel DH Gewirtz, Yungil Kim and Minh D. To and has published in prestigious journals such as Nature Communications, The Journal of Physical Chemistry B and Genome Research.

In The Last Decade

Brian Jo

4 papers receiving 295 citations

Peers

Brian Jo
Reto Walser Switzerland
Dominique T. Capraro United States
Sandeep Somani United States
T. Michael Sabo United States
Kaixian Liu United States
Jackwee Lim Singapore
Paul M. Gasper United States
L. Therese Bergendahl United Kingdom
Reto Walser Switzerland
Brian Jo
Citations per year, relative to Brian Jo Brian Jo (= 1×) peers Reto Walser

Countries citing papers authored by Brian Jo

Since Specialization
Citations

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

Fields of papers citing papers by Brian Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Jo

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

All Works

4 of 4 papers shown
1.
Dumitrascu, Bianca, Ian C. McDowell, Brian Jo, et al.. (2021). Causal network inference from gene transcriptional time-series response to glucocorticoids. PLoS Computational Biology. 17(1). e1008223–e1008223. 22 indexed citations
2.
Saha, Ashis, Yungil Kim, Ariel DH Gewirtz, et al.. (2017). Co-expression networks reveal the tissue-specific regulation of transcription and splicing. Genome Research. 27(11). 1843–1858. 102 indexed citations
3.
Kim, Il-Jin, David A. Quigley, Minh D. To, et al.. (2013). Rewiring of human lung cell lineage and mitotic networks in lung adenocarcinomas. Nature Communications. 4(1). 1701–1701. 41 indexed citations
4.
Nerenberg, Paul S., et al.. (2012). Optimizing Solute–Water van der Waals Interactions To Reproduce Solvation Free Energies. The Journal of Physical Chemistry B. 116(15). 4524–4534. 133 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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