Jane Briggs

2.8k total citations · 2 hit papers
9 papers, 2.2k citations indexed

About

Jane Briggs is a scholar working on Surgery, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Jane Briggs has authored 9 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Epidemiology. Recurrent topics in Jane Briggs's work include Surgical site infection prevention (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Antibiotic Use and Resistance (2 papers). Jane Briggs is often cited by papers focused on Surgical site infection prevention (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Antibiotic Use and Resistance (2 papers). Jane Briggs collaborates with scholars based in United States, United Kingdom and Switzerland. Jane Briggs's co-authors include Daniel J. Sexton, William E. Wilkinson, Kathryn B. Kirkland, John J. Engemann, Melissa Bronstein, Sara E. Cosgrove, Yehuda Carmeli, Keith S. Kaye, Vance G. Fowler and Linda Sanders and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Epidemiology & Community Health and BMC Health Services Research.

In The Last Decade

Jane Briggs

8 papers receiving 2.0k citations

Hit Papers

The Impact of Surgical-Site Infections in the 1990s: Attr... 1999 2026 2008 2017 1999 2003 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Briggs United States 6 1.4k 561 490 321 259 9 2.2k
John Segreti United States 20 2.5k 1.8× 469 0.8× 510 1.0× 176 0.5× 425 1.6× 44 3.4k
A. Pearson United Kingdom 19 1.0k 0.7× 662 1.2× 302 0.6× 356 1.1× 475 1.8× 27 2.4k
Kamal Itani United States 18 874 0.6× 460 0.8× 325 0.7× 309 1.0× 242 0.9× 40 2.0k
Patchen Dellinger United States 13 1.6k 1.1× 700 1.2× 517 1.1× 479 1.5× 420 1.6× 17 3.1k
R. Coello United Kingdom 12 889 0.6× 459 0.8× 259 0.5× 241 0.8× 307 1.2× 16 1.7k
Douglas Slain United States 18 1.8k 1.3× 546 1.0× 601 1.2× 176 0.5× 639 2.5× 48 3.2k
William Martone United States 5 1.9k 1.4× 221 0.4× 505 1.0× 123 0.4× 407 1.6× 11 2.5k
George Allen United States 8 1.8k 1.3× 156 0.3× 503 1.0× 82 0.3× 259 1.0× 50 2.4k
H. Harlan Stone United States 35 2.8k 2.0× 525 0.9× 319 0.7× 204 0.6× 577 2.2× 88 4.2k
Denise Murphy United States 24 1.3k 0.9× 339 0.6× 492 1.0× 88 0.3× 771 3.0× 50 3.0k

Countries citing papers authored by Jane Briggs

Since Specialization
Citations

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

Fields of papers citing papers by Jane Briggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Briggs

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

All Works

9 of 9 papers shown
2.
Briggs, Jane, et al.. (2018). How to assure access of essential RMNCH medicines by looking at policy and systems factors: an analysis of countdown to 2015 countries. BMC Health Services Research. 18(1). 952–952. 9 indexed citations
3.
Gilbert, Gordon & Jane Briggs. (2006). Digital radio mondiale: DRM digital AM applications for defence and broadcast markets. 2006. 286–290.
4.
Engemann, John J., Yehuda Carmeli, Sara E. Cosgrove, et al.. (2003). Adverse Clinical and Economic Outcomes Attributable to Methicillin Resistance among Patients withStaphylococcus aureusSurgical Site Infection. Clinical Infectious Diseases. 36(5). 592–598. 723 indexed citations breakdown →
5.
Ochoa, Héctor, et al.. (2003). Economic costs associated with inadequate drug prescribing: an exploratory study in Chiapas, Mexico. Acta Tropica. 88(1). 57–68. 5 indexed citations
6.
Sanders, Linda, et al.. (2002). Postoperative Bacteremia Secondary to Surgical Site Infection. Clinical Infectious Diseases. 34(3). 305–308. 40 indexed citations
7.
Friedman, N. Deborah, Keith S. Kaye, Jason E. Stout, et al.. (2002). Friedman ND, Kaye KS, Stout J, et al. Healthcare-associated bloodstream infections in adults: a reason to change the accepted definition of community-acquired infections. 1 indexed citations
8.
Kirkland, Kathryn B., et al.. (1999). The Impact of Surgical-Site Infections in the 1990s: Attributable Mortality, Excess Length of Hospitalization, And Extra Costs. Infection Control and Hospital Epidemiology. 20(11). 725–730. 1342 indexed citations breakdown →
9.
Gatrell, Anthony C., et al.. (1995). Prevalence of asthma and related factors in primary school children in an industrial part of England.. Journal of Epidemiology & Community Health. 49(3). 326–327. 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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