Randy W. Loftus

3.7k total citations
72 papers, 2.5k citations indexed

About

Randy W. Loftus is a scholar working on Surgery, Infectious Diseases and Microbiology. According to data from OpenAlex, Randy W. Loftus has authored 72 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 34 papers in Infectious Diseases and 13 papers in Microbiology. Recurrent topics in Randy W. Loftus's work include Surgical site infection prevention (30 papers), Infection Control in Healthcare (23 papers) and Antimicrobial Resistance in Staphylococcus (14 papers). Randy W. Loftus is often cited by papers focused on Surgical site infection prevention (30 papers), Infection Control in Healthcare (23 papers) and Antimicrobial Resistance in Staphylococcus (14 papers). Randy W. Loftus collaborates with scholars based in United States, Singapore and Israel. Randy W. Loftus's co-authors include Jeremiah R. Brown, Michael L. Beach, Helmut Altner, Franklin Dexter, Matthew D. Koff, Mark P. Yeager, Michelle C. Parra, Christie P. Thomas, Dilip K. Sengupta and William A. Abdu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Annual Review of Entomology.

In The Last Decade

Randy W. Loftus

70 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Randy W. Loftus United States 24 815 703 459 447 300 72 2.5k
James Tibballs Australia 36 792 1.0× 290 0.4× 1.2k 2.5× 298 0.7× 47 0.2× 143 4.3k
James W. Wynne Australia 34 403 0.5× 472 0.7× 1.1k 2.5× 255 0.6× 49 0.2× 107 3.8k
Raffaella Nenna Italy 28 866 1.1× 339 0.5× 822 1.8× 78 0.2× 75 0.3× 155 2.5k
Corrado Moretti Italy 27 573 0.7× 343 0.5× 1.3k 2.8× 178 0.4× 38 0.1× 85 2.4k
Lídia Raquel de Carvalho Brazil 29 413 0.5× 227 0.3× 322 0.7× 333 0.7× 12 0.0× 184 2.4k
Doron D. Sommer Canada 28 865 1.1× 119 0.2× 436 0.9× 216 0.5× 45 0.1× 102 2.8k
Marie Gauthier Canada 28 306 0.4× 212 0.3× 347 0.8× 25 0.1× 35 0.1× 86 2.5k
Shaul Sofer Israel 31 214 0.3× 167 0.2× 356 0.8× 56 0.1× 41 0.1× 99 2.7k
D. Vervloët France 48 425 0.5× 103 0.1× 1.6k 3.5× 104 0.2× 49 0.2× 288 7.7k
Javier Benito Spain 25 163 0.2× 76 0.1× 524 1.1× 48 0.1× 92 0.3× 168 2.1k

Countries citing papers authored by Randy W. Loftus

Since Specialization
Citations

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

Fields of papers citing papers by Randy W. Loftus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randy W. Loftus. 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 Randy W. Loftus. The network helps show where Randy W. Loftus may publish in the future.

Co-authorship network of co-authors of Randy W. Loftus

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

All Works

20 of 20 papers shown
1.
Dexter, Franklin, Chang‐Hoon Koo, Daniel A. Diedrich, et al.. (2025). The Assessment of Practical and Safety Aspects of Recommended Surface Disinfection and Ultraviolet-C Cleaning Procedures for the Anesthesia Workspace. Cureus. 17(9). e93348–e93348.
2.
Loftus, Randy W., Franklin Dexter, & Jeremiah R. Brown. (2025). Impact of Shipping Transit Time on Central Laboratory Processing of Total Colony Forming Units (CFU) and Staphylococcus aureus Detection. Cureus. 17(3). e80590–e80590. 1 indexed citations
3.
Loftus, Randy W., et al.. (2024). Importance of Ultraviolet-C (UV-C) Emitter Configuration for the Attenuation of Staphylococcus aureus and Candida auris Pathogens. Cureus. 16(10). e71612–e71612. 2 indexed citations
4.
Dexter, Franklin, et al.. (2024). A threshold of 100 or more colony-forming units on the anesthesia machine predicts bacterial pathogen detection: a retrospective laboratory-based analysis. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 71(5). 600–610. 8 indexed citations
5.
6.
7.
Loftus, Randy W., et al.. (2023). Characterizing the molecular epidemiology of anaesthesia work area transmission of Staphylococcus aureus sequence type 5. Journal of Hospital Infection. 143. 186–194. 7 indexed citations
8.
Dexter, Franklin, Richard H. Epstein, & Randy W. Loftus. (2023). Quantifying and Interpreting Inequality in Surgical Site Infections per Quarter Among Anesthetizing Locations and Specialties. Cureus. 15(3). e36878–e36878. 6 indexed citations
9.
Dexter, Franklin, et al.. (2022). Estimating costs of anesthesia supplies for intraoperative infection control. American Journal of Infection Control. 51(6). 619–623. 4 indexed citations
10.
11.
Loftus, Randy W., Franklin Dexter, & Jeremiah R. Brown. (2022). The importance of targeting intraoperative transmission of bacteria with antibiotic resistance and strain characteristics. American Journal of Infection Control. 51(6). 612–618. 3 indexed citations
12.
Dexter, Franklin, Richard H. Epstein, & Randy W. Loftus. (2021). Quantifying and interpreting inequality of surgical site infections among operating rooms. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 68(6). 812–824. 16 indexed citations
13.
Dexter, Franklin, et al.. (2020). Sample times for surveillance of S. aureus transmission to monitor effectiveness and provide feedback on intraoperative infection control. Perioperative Care and Operating Room Management. 21. 100137–100137. 8 indexed citations
14.
Sharma, Archit, et al.. (2020). Perioperative Infection Transmission: the Role of the Anesthesia Provider in Infection Control and Healthcare-Associated Infections. Current anesthesiology reports. 10(3). 233–241. 10 indexed citations
15.
Dexter, Franklin, et al.. (2019). Operating room PathTrac analysis of current intraoperative Staphylococcus aureus transmission dynamics. American Journal of Infection Control. 47(10). 1240–1247. 17 indexed citations
16.
Parra, Michelle C., et al.. (2016). Fluoroscopic Guidance Increases the Incidence of Thoracic Epidural Catheter Placement Within the Epidural Space. Regional Anesthesia & Pain Medicine. 42(1). 17–24. 29 indexed citations
17.
Loftus, Randy W., Jeremiah R. Brown, Hetal M. Patel, et al.. (2015). Transmission Dynamics of Gram-Negative Bacterial Pathogens in the Anesthesia Work Area. Anesthesia & Analgesia. 120(4). 819–826. 33 indexed citations
18.
Loftus, Randy W., Matthew D. Koff, & David J. Birnbach. (2015). The Dynamics and Implications of Bacterial Transmission Events Arising from the Anesthesia Work Area. Anesthesia & Analgesia. 120(4). 853–860. 45 indexed citations
19.
Loftus, Randy W., Matthew D. Koff, Jeremiah R. Brown, et al.. (2014). The Dynamics of Enterococcus Transmission from Bacterial Reservoirs Commonly Encountered by Anesthesia Providers. Anesthesia & Analgesia. 120(4). 827–836. 20 indexed citations
20.
Loftus, Randy W., Jeremiah R. Brown, Matthew D. Koff, et al.. (2012). Multiple Reservoirs Contribute to Intraoperative Bacterial Transmission. Anesthesia & Analgesia. 114(6). 1236–1248. 102 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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