Julia Salzman

1.4k total citations
6 papers, 213 citations indexed

About

Julia Salzman is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Julia Salzman has authored 6 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Julia Salzman's work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Julia Salzman is often cited by papers focused on RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Julia Salzman collaborates with scholars based in United States. Julia Salzman's co-authors include Daniel M. Klass, Nikoleta G. Tsvetanova, Patrick O. Brown, Fanny Sunden, Ariana Peck, Susanne Ressl, Daniel Herschlag, Hui Jiang, Roozbeh Dehghannasiri and Julia Olivieri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Julia Salzman

6 papers receiving 211 citations

Peers

Julia Salzman
Magda F. Morton United States
Gregor Oemer Austria
Erhan Kenar Germany
Timothy P. Ellis United States
Magda F. Morton United States
Julia Salzman
Citations per year, relative to Julia Salzman Julia Salzman (= 1×) peers Magda F. Morton

Countries citing papers authored by Julia Salzman

Since Specialization
Citations

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

Fields of papers citing papers by Julia Salzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Salzman

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

All Works

6 of 6 papers shown
1.
Tse, David, et al.. (2024). OASIS: An interpretable, finite-sample valid alternative to Pearson’sX2for scientific discovery. Proceedings of the National Academy of Sciences. 121(15). e2304671121–e2304671121. 2 indexed citations
2.
Dehghannasiri, Roozbeh, et al.. (2021). Specific splice junction detection in single cells with SICILIAN. Genome biology. 22(1). 219–219. 7 indexed citations
3.
Dehghannasiri, Roozbeh, Linda Szabo, & Julia Salzman. (2018). Ambiguous splice sites distinguish circRNA and linear splicing in the human genome. Bioinformatics. 35(8). 1263–1268. 4 indexed citations
4.
Sunden, Fanny, Ariana Peck, Julia Salzman, Susanne Ressl, & Daniel Herschlag. (2015). Extensive site-directed mutagenesis reveals interconnected functional units in the alkaline phosphatase active site. eLife. 4. 53 indexed citations
5.
Jiang, Hui & Julia Salzman. (2012). Statistical properties of an early stopping rule for resampling-based multiple testing. Biometrika. 99(4). 973–980. 14 indexed citations
6.
Tsvetanova, Nikoleta G., Daniel M. Klass, Julia Salzman, & Patrick O. Brown. (2010). Proteome-Wide Search Reveals Unexpected RNA-Binding Proteins in Saccharomyces cerevisiae. PLoS ONE. 5(9). e12671–e12671. 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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