Dee Shortridge

82 papers receiving 2.5k citations

Hit Papers

Mutations in 23S rRNA are associated with clarithromycin resistance in Helicobacter pylori 1996 · 407 citations
4071996202620062016100200300400

Peers

Dee Shortridge
Comparison fields: 5 of 107
  • Applied Microbiology and Biotechnology 542
  • Molecular Medicine 1.3k
  • Small Animals 417
  • Clinical Biochemistry 368
  • Pharmacology 800
Replace Gregory G. Stone with:
Gregory G. Stone United States
Deniz Gür Türkiye
Tetsuya Yagi Japan
Georgia Vrioni Greece
Beatriz Mirelis Spain
Claude–James Soussy France
Jorge Luiz Mello Sampaio Brazil
Eui-Chong Kim South Korea
Charalampos Antachopoulos Greece
Alain A. Ocampo-Sosa Spain
Dee Shortridge relative to Gregory G. Stone United States Gregory G. Stone's profile →
Citations per field
00.5×1.5×1.9×
Gregory G. Stone · 1×
Citations per year

Countries citing papers authored by Dee Shortridge

Since Specialization
Citations

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

Fields of papers citing papers by Dee Shortridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dee Shortridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dee Shortridge Line = papers co-authored together Dee Shortridge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 202314
3 20226
4 20229
5 20223
6 202115
7 20217
8 202121
9 202113
10 201922
11 201842
12 201819
13 201745
14 201721
15 201740
16 201750
17 20137
18 200312
19 199713
20 199678

About Dee Shortridge

Dee Shortridge is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Pharmacology and Endocrinology, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (58 papers), Antibiotics Pharmacokinetics and Efficacy (38 papers), Antibiotic Use and Resistance (36 papers), Antimicrobial Resistance in Staphylococcus (24 papers), Bacterial Identification and Susceptibility Testing (21 papers), Pneumonia and Respiratory Infections (13 papers), Infections and bacterial resistance (7 papers) and Nosocomial Infections in ICU (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (542 citations), Molecular Medicine (1.3k citations), Small Animals (417 citations), Clinical Biochemistry (368 citations) and Pharmacology (800 citations). Dee Shortridge has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Robert K. Flamm, Michael A. Pfaller, Mariana Castanheira, Hélio S. Sader, Rodrigo E. Mendes, Jill Beyer, Shinji Tanaka, James Versalovic, Michael D. Huband and David Y. Graham. Their work appears in journals such as Open Forum Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease and International Journal of Antimicrobial Agents.

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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