Julie M. Silverman

1.9k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Julie M. Silverman is a scholar working on Endocrinology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Julie M. Silverman has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, 4 papers in Molecular Biology and 3 papers in Molecular Medicine. Recurrent topics in Julie M. Silverman's work include Vibrio bacteria research studies (5 papers), Antibiotic Resistance in Bacteria (3 papers) and Escherichia coli research studies (2 papers). Julie M. Silverman is often cited by papers focused on Vibrio bacteria research studies (5 papers), Antibiotic Resistance in Bacteria (3 papers) and Escherichia coli research studies (2 papers). Julie M. Silverman collaborates with scholars based in United States and France. Julie M. Silverman's co-authors include Joseph D. Mougous, Eric Cascalès, Yannick R. Brunet, Mo Li, Kevin G. Hicks, Rachel D. Hood, Pragya Singh, Mike A. Carl, David R. Goodlett and Sandra Schwarz and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Molecular Microbiology.

In The Last Decade

Julie M. Silverman

7 papers receiving 1.4k citations

Hit Papers

A Type VI Secretion System of Pseudomonas aeruginosa Targ... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie M. Silverman United States 7 1.1k 529 499 366 168 7 1.4k
Yannick R. Brunet France 18 1.2k 1.1× 502 0.9× 503 1.0× 556 1.5× 145 0.9× 19 1.6k
Kevin G. Hicks United States 7 686 0.6× 410 0.8× 304 0.6× 262 0.7× 112 0.7× 8 1.0k
Mo Li United States 4 825 0.7× 345 0.7× 376 0.8× 254 0.7× 105 0.6× 4 998
Brian T. Ho United States 12 1.6k 1.4× 774 1.5× 674 1.4× 537 1.5× 225 1.3× 16 2.1k
Luke P. Allsopp United Kingdom 18 705 0.6× 478 0.9× 365 0.7× 247 0.7× 181 1.1× 26 1.2k
Abdelrahim Zoued France 15 894 0.8× 391 0.7× 308 0.6× 468 1.3× 68 0.4× 21 1.2k
Daniel Unterweger Germany 17 1.0k 0.9× 335 0.6× 489 1.0× 183 0.5× 74 0.4× 25 1.3k
Dor Salomon Israel 23 1.1k 1.0× 560 1.1× 293 0.6× 280 0.8× 422 2.5× 61 1.8k
Catarina Felisberto‐Rodrigues France 8 442 0.4× 482 0.9× 222 0.4× 334 0.9× 175 1.0× 10 1.1k
Lionel Ferrières France 13 361 0.3× 498 0.9× 187 0.4× 363 1.0× 96 0.6× 14 996

Countries citing papers authored by Julie M. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Julie M. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie M. Silverman. 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 Julie M. Silverman. The network helps show where Julie M. Silverman may publish in the future.

Co-authorship network of co-authors of Julie M. Silverman

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

All Works

7 of 7 papers shown
1.
Silverman, Julie M. & Barbara Imperiali. (2016). Bacterial N-Glycosylation Efficiency Is Dependent on the Structural Context of Target Sequons. Journal of Biological Chemistry. 291(42). 22001–22010. 31 indexed citations
2.
Silverman, Julie M., Danielle M. Agnello, Hongjin Zheng, et al.. (2013). Haemolysin Coregulated Protein Is an Exported Receptor and Chaperone of Type VI Secretion Substrates. Molecular Cell. 51(5). 584–593. 219 indexed citations
3.
Casabona, Maria Guillermina, Julie M. Silverman, Frédéric Boyer, et al.. (2012). An ABC transporter and an outer membrane lipoprotein participate in posttranslational activation of type VI secretion in Pseudomonas aeruginosa. Environmental Microbiology. 15(2). 471–486. 74 indexed citations
4.
Silverman, Julie M., Laura S. Austin, FoSheng Hsu, et al.. (2011). Separate inputs modulate phosphorylation‐dependent and ‐independent type VI secretion activation. Molecular Microbiology. 82(5). 1277–1290. 79 indexed citations
5.
Hood, Rachel D., Pragya Singh, Mike A. Carl, et al.. (2010). A Type VI Secretion System of Pseudomonas aeruginosa Targets a Toxin to Bacteria. Cell Host & Microbe. 7(1). 25–37. 718 indexed citations breakdown →
6.
Silverman, Julie M., Yannick R. Brunet, Eric Cascalès, & Joseph D. Mougous. (2010). Structure and Regulation of the Type VI Secretion System. Annual Review of Microbiology. 66(1). 453–472. 299 indexed citations
7.
Silverman, Julie M., et al.. (2009). A Minimalist Substrate for Enzymatic Peptide and Protein Conjugation. ChemBioChem. 10(18). 2934–2943. 25 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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