Julia Salzman

11.2k total citations · 7 hit papers
39 papers, 8.1k citations indexed

About

Julia Salzman is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Julia Salzman has authored 39 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Cancer Research and 7 papers in Ecology. Recurrent topics in Julia Salzman's work include RNA Research and Splicing (13 papers), Circular RNAs in diseases (11 papers) and RNA modifications and cancer (7 papers). Julia Salzman is often cited by papers focused on RNA Research and Splicing (13 papers), Circular RNAs in diseases (11 papers) and RNA modifications and cancer (7 papers). Julia Salzman collaborates with scholars based in United States, Canada and Singapore. Julia Salzman's co-authors include Patrick O. Brown, Peter L. Wang, Steven Barrett, Mari Olsen, Charles Gawad, Norman J. Lacayo, Raymond Chen, Linda Szabo, David T. Pride and Gregory J. Hogan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Julia Salzman

37 papers receiving 8.1k citations

Hit Papers

5 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.

Circular RNAs Are the Predominant Transcript Isoform from Hundreds of Human Genes in Diverse Cell Types

2012 2.0k citations Julia Salzman, Charles Gawad et al. PLoS ONE profile →
Cell-Type Specific Features of Circular RNA Expression

2013 1.6k citations Julia Salzman, Mari Olsen et al. PLoS Genetics profile →
Circular RNAs: analysis, expression and potential functions

2016 665 citations Steven Barrett, Julia Salzman profile →
Circular RNA Expression: Its Potential Regulation and Function

2016 655 citations Julia Salzman Trends in Genetics profile →
Circular RNA Is Expressed across the Eukaryotic Tree of Life

2014 604 citations Peter L. Wang, Yun Bao et al. PLoS ONE profile →
Detecting circular RNAs: bioinformatic and experimental challenges

2016 534 citations Linda Szabo, Julia Salzman profile →
Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development

2015 458 citations Linda Szabo, Robert Morey et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Salzman United States	20	7.5k	6.2k	359	207	199	39	8.1k
Steven A. Roberts United States	35	3.3k 0.4×	1.3k 0.2×	102 0.3×	394 1.9×	388 1.9×	109	4.9k
John R. Chevillet United States	13	4.1k 0.5×	3.3k 0.5×	131 0.4×	221 1.1×	414 2.1×	14	5.4k
Ingrid K. Ruf United States	15	3.9k 0.5×	3.1k 0.5×	130 0.4×	364 1.8×	506 2.5×	18	5.5k
Dongsic Choi South Korea	28	4.3k 0.6×	2.2k 0.4×	175 0.5×	357 1.7×	559 2.8×	50	5.1k
Xiaoping Su United States	49	5.8k 0.8×	3.6k 0.6×	84 0.2×	1.3k 6.2×	1.7k 8.8×	171	12.1k
Renske D.M. Steenbergen Netherlands	55	4.7k 0.6×	2.4k 0.4×	217 0.6×	4.5k 21.8×	585 2.9×	216	9.2k
Peiyong Jiang Hong Kong	47	4.1k 0.5×	4.8k 0.8×	60 0.2×	225 1.1×	366 1.8×	107	7.9k
Kenneth D. Bauer United States	33	1.5k 0.2×	849 0.1×	30 0.1×	255 1.2×	545 2.7×	64	3.4k
Sabine Schwarz Germany	18	780 0.1×	710 0.1×	104 0.3×	163 0.8×	610 3.1×	57	2.4k
Niels T. Foged Denmark	28	1.8k 0.2×	962 0.2×	113 0.3×	125 0.6×	212 1.1×	60	3.3k

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

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20 of 20 papers shown

Kokot, Marek, et al.. (2024). Scalable and unsupervised discovery from raw sequencing reads using SPLASH2. Nature Biotechnology. 43(7). 1084–1090. 3 indexed citations

Bierman, Rob, Jui M. Dave, Daniel M. Greif, & Julia Salzman. (2024). Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation. eLife. 12. 3 indexed citations

Bierman, Rob, Jui M. Dave, Daniel M. Greif, & Julia Salzman. (2023). Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation. eLife. 12.

Zheludev, Ivan N., et al.. (2023). SPLASH: A statistical, reference-free genomic algorithm unifies biological discovery. Cell. 186(25). 5440–5456.e26. 4 indexed citations

Meyer, Elisabeth, et al.. (2022). ReadZS detects cell type-specific and developmentally regulated RNA processing programs in single-cell RNA-seq. Genome biology. 23(1). 226–226. 5 indexed citations

Olivieri, Julia, Roozbeh Dehghannasiri, Peter L. Wang, et al.. (2021). RNA splicing programs define tissue compartments and cell types at single-cell resolution. eLife. 10. 30 indexed citations

Dehghannasiri, Roozbeh, et al.. (2019). Improved detection of gene fusions by applying statistical methods reveals oncogenic RNA cancer drivers. Proceedings of the National Academy of Sciences. 116(31). 15524–15533. 25 indexed citations

Salzman, Julia, et al.. (2019). Molecular sampling at logarithmic rates for next-generation sequencing. PLoS Computational Biology. 15(12). e1007537–e1007537.

Parker, Kevin R., et al.. (2017). ciRS-7 exonic sequence is embedded in a long non-coding RNA locus. PLoS Genetics. 13(12). e1007114–e1007114. 65 indexed citations

10.

Salzman, Julia. (2016). Circular RNA Expression: Its Potential Regulation and Function. Trends in Genetics. 32(5). 309–316. 655 indexed citations breakdown →

11.

Szabo, Linda, Robert Morey, Nathan J. Palpant, et al.. (2015). Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development. Genome biology. 16(1). 126–126. 458 indexed citations breakdown →

12.

Wang, Peter L., Yun Bao, Muh‐Ching Yee, et al.. (2014). Circular RNA Is Expressed across the Eukaryotic Tree of Life. PLoS ONE. 9(3). e90859–e90859. 604 indexed citations breakdown →

13.

Rajaratnam, Bala & Julia Salzman. (2013). Best permutation analysis. Journal of Multivariate Analysis. 121. 193–223. 15 indexed citations

14.

Casolari, Jason M., et al.. (2012). Widespread mRNA Association with Cytoskeletal Motor Proteins and Identification and Dynamics of Myosin-Associated mRNAs in S. cerevisiae. PLoS ONE. 7(2). e31912–e31912. 16 indexed citations

15.

Salzman, Julia, et al.. (2012). Circular RNAs Are the Predominant Transcript Isoform from Hundreds of Human Genes in Diverse Cell Types. PLoS ONE. 7(2). e30733–e30733. 1978 indexed citations breakdown →

16.

Pride, David T., Julia Salzman, & David A. Relman. (2012). Comparisons of clustered regularly interspaced short palindromic repeats and viromes in human saliva reveal bacterial adaptations to salivary viruses. Environmental Microbiology. 14(9). 2564–2576. 44 indexed citations

17.

Bates, Jamie, Julia Salzman, Damon May, et al.. (2012). Extensive Gene-Specific Translational Reprogramming in a Model of B Cell Differentiation and Abl-Dependent Transformation. PLoS ONE. 7(5). e37108–e37108. 5 indexed citations

18.

Salzman, Julia, Robert J. Marinelli, Peter L. Wang, et al.. (2011). ESRRA-C11orf20 Is a Recurrent Gene Fusion in Serous Ovarian Carcinoma. PLoS Biology. 9(9). e1001156–e1001156. 41 indexed citations

19.

Pride, David T., Christine Sun, Julia Salzman, et al.. (2010). Analysis of streptococcal CRISPRs from human saliva reveals substantial sequence diversity within and between subjects over time. Genome Research. 21(1). 126–136. 85 indexed citations

20.

Wierman, Adam, Julia Salzman, Michael Jablonski, & Anant P. Godbole. (2003). An improved upper bound for the pebbling threshold of the n-path. Discrete Mathematics. 275(1-3). 367–373. 4 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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