Michelle Doll

78 papers receiving 1.2k citations

Peers

Michelle Doll
Comparison fields: 5 of 125
  • Applied Microbiology and Biotechnology 146
  • Infectious Diseases 448
  • General Dentistry 28
  • Critical Care and Intensive Care Medicine 77
  • Molecular Medicine 67
Replace David R. Jenkins with:
David R. Jenkins United Kingdom
Matthew S. Simon United States
Kathryn N. Suh Canada
Carlos Magno Castelo Branco Fortaleza Brazil
Marc Dangel Switzerland
I Mura Italy
Koh Cheng Thoon Singapore
Nabeela Mughal United Kingdom
Sebastian Lemmen Germany
Payal Patel United States
Michelle Doll relative to David R. Jenkins United Kingdom David R. Jenkins's profile →
Citations per field
00.5×1.5×2.5×
David R. Jenkins · 1×
Citations per year

Countries citing papers authored by Michelle Doll

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michelle Doll, 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 Michelle Doll Line = papers co-authored together Michelle Doll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008192
2 201793
3 202070
4 202047
5 201846
6 201645
7 201844
8 201544
9 202237
10 201135
11 201733
12 201931
13 201629
14 201828
15 202025
16 202023
17 202021
18 200320
19 202019
20 201819

About Michelle Doll

Michelle Doll is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, General Health Professions and Applied Microbiology and Biotechnology, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Infection Control in Healthcare (29 papers), Infection Control and Ventilation (17 papers), Clostridium difficile and Clostridium perfringens research (13 papers), Antibiotic Use and Resistance (13 papers), Nosocomial Infections in ICU (11 papers), Bacterial Identification and Susceptibility Testing (9 papers), Medical Device Sterilization and Disinfection (7 papers) and Healthcare cost, quality, practices (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (146 citations), Infectious Diseases (448 citations), General Dentistry (28 citations), Critical Care and Intensive Care Medicine (77 citations) and Molecular Medicine (67 citations). Michelle Doll has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Gonzalo Bearman, Michael Stevens, Kaila Cooper, Emily Godbout, Nadia Masroor, Rachel Pryor, Salma Abbas, Karen Hayton, Deepak Gaur and Tetsuya Furuya. Their work appears in journals such as American Journal of Infection Control, Infection Control and Hospital Epidemiology, Current Infectious Disease Reports, International Journal of Infectious Diseases and Open Forum Infectious Diseases.

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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