Julia Marsh Sung

938 total citations
8 papers, 738 citations indexed

About

Julia Marsh Sung is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Julia Marsh Sung has authored 8 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in Julia Marsh Sung's work include Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial biofilms and quorum sensing (5 papers) and HIV Research and Treatment (3 papers). Julia Marsh Sung is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial biofilms and quorum sensing (5 papers) and HIV Research and Treatment (3 papers). Julia Marsh Sung collaborates with scholars based in United Kingdom, United States and Denmark. Julia Marsh Sung's co-authors include D. H. Lloyd, Jodi A. Lindsay, David M. Margolis, Nancie M. Archin, Carolina Garrido, Natalia Soriano-Sarabia, Luca Guardabassi, Margit Winkler, Моника Линек and Arshnee Moodley and has published in prestigious journals such as Nature Reviews Microbiology, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

In The Last Decade

Julia Marsh Sung

8 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Marsh Sung United Kingdom 7 516 339 227 145 121 8 738
Florence Doualla‐Bell Canada 16 438 0.8× 127 0.4× 414 1.8× 14 0.1× 134 1.1× 40 773
Barbro Mäkitalo Sweden 17 281 0.5× 159 0.5× 543 2.4× 36 0.2× 272 2.2× 23 854
Kathleen O’Shea United States 12 245 0.5× 160 0.5× 27 0.1× 160 1.1× 115 1.0× 14 504
Loek de Graaf Netherlands 10 185 0.4× 193 0.6× 161 0.7× 23 0.2× 113 0.9× 16 591
James R. Deringer United States 14 328 0.6× 210 0.6× 11 0.0× 38 0.3× 73 0.6× 19 668
Rebekah D. Jones United States 10 411 0.8× 233 0.7× 24 0.1× 270 1.9× 111 0.9× 17 536
Raju Sunagar United States 11 167 0.3× 197 0.6× 27 0.1× 19 0.1× 50 0.4× 23 384
D. De Briel France 16 194 0.4× 126 0.4× 82 0.4× 249 1.7× 241 2.0× 22 731
Alain Le Coustumier France 13 212 0.4× 190 0.6× 33 0.1× 130 0.9× 186 1.5× 29 575
F D Quinn United States 13 94 0.2× 225 0.7× 69 0.3× 21 0.1× 90 0.7× 20 654

Countries citing papers authored by Julia Marsh Sung

Since Specialization
Citations

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

Fields of papers citing papers by Julia Marsh Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Marsh Sung

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

All Works

8 of 8 papers shown
1.
Warren, Joanna, Shuntai Zhou, Yinyan Xu, et al.. (2020). The HIV-1 latent reservoir is largely sensitive to circulating T cells. eLife. 9. 23 indexed citations
2.
Sung, Julia Marsh & David M. Margolis. (2018). HIV Persistence on Antiretroviral Therapy and Barriers to a Cure. Advances in experimental medicine and biology. 1075. 165–185. 27 indexed citations
3.
Archin, Nancie M., Julia Marsh Sung, Carolina Garrido, Natalia Soriano-Sarabia, & David M. Margolis. (2014). Eradicating HIV-1 infection: seeking to clear a persistent pathogen. Nature Reviews Microbiology. 12(11). 750–764. 206 indexed citations
4.
Lindsay, Jodi A. & Julia Marsh Sung. (2010). The RM Test for Determining Methicillin-Resistant Staphylococcus aureus Lineages. Methods in molecular biology. 642. 3–11. 3 indexed citations
5.
Sung, Julia Marsh, D. H. Lloyd, & Jodi A. Lindsay. (2008). Staphylococcus aureus host specificity: comparative genomics of human versus animal isolates by multi-strain microarray. Microbiology. 154(7). 1949–1959. 248 indexed citations
6.
Loeffler, Anette, Моника Линек, Arshnee Moodley, et al.. (2007). First report of multiresistant,mecA‐positiveStaphylococcus intermediusin Europe: 12 cases from a veterinary dermatology referral clinic in Germany. Veterinary Dermatology. 18(6). 412–421. 152 indexed citations
7.
Sung, Julia Marsh & Jodi A. Lindsay. (2007). Staphylococcus aureus Strains That are Hypersusceptible to Resistance Gene Transfer from Enterococci. Antimicrobial Agents and Chemotherapy. 51(6). 2189–2191. 52 indexed citations
8.
Sung, Julia Marsh, Peter D. Chantler, & D. H. Lloyd. (2006). Accessory Gene Regulator Locus of Staphylococcus intermedius. Infection and Immunity. 74(5). 2947–2956. 27 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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