Page E. Crew

528 citations
19 papers · 342 · h-index 10

Impact in

  • Microbiology top 10%
    • Bacterial Infections and Vaccines
    • Reproductive tract infections research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research

Papers in

Page E. Crew

19 papers receiving 326 citations

Peers

Page E. Crew
Comparison fields: 5 of 68
  • Microbiology 53
  • Infectious Diseases 140
  • Applied Microbiology and Biotechnology 13
  • Immunology 81
  • Hematology 29
Replace Clóvis Arns da Cunha with:
Clóvis Arns da Cunha Brazil
F. Giménez Sánchez Spain
Sarah M. Heston United States
Fatou Secka United Kingdom
Andrea Di Lorenzo Italy
Mojgan Hessamfar France
Laura Iglesias Llorente Spain
Roberto Castronari Italy
Kaoutar Jidar France
José Ángel Berezo Spain
Page E. Crew relative to Clóvis Arns da Cunha Brazil Clóvis Arns da Cunha's profile →
Citations per field
00.5×2×4×6×8.8×
Clóvis Arns da Cunha · 1×
Citations per year

Countries citing papers authored by Page E. Crew

Since Specialization
Citations

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

Fields of papers citing papers by Page E. Crew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Page E. Crew. 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 Page E. Crew. The network helps show where Page E. Crew may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201864
2 202244
3 201839
4 202035
5 201934
6 201526
7 202224
8 202314
9 202312
10 202411
11 20169
12 20249
13 20177
14 20164
15 20193
16 20192
17 20232
18 20242
19 20251

About Page E. Crew

Page E. Crew is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Modeling and Simulation, Internal Medicine and Microbiology, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (3 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infections and Vectors (2 papers), Antibiotic Use and Resistance (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Microbiology (53 citations), Infectious Diseases (140 citations), Applied Microbiology and Biotechnology (13 citations), Immunology (81 citations) and Hematology (29 citations). Page E. Crew has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Steven Christopher Jones, Peter E. Waldron, Susan J. Bersoff‐Matcha, Lucy A. McNamara, Brett H. Heintz, Emily J Weston, Kyle T. Bernstein, Winston E. Abara, Robert D. Kirkcaldy and J. Nicholas O’Donnell. Their work appears in journals such as Annals of Internal Medicine, Clinical Infectious Diseases, Annals of Pharmacotherapy, Journal of Infection and Antimicrobial Agents and Chemotherapy.

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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