Natalie Crown

19 papers receiving 311 citations

Peers

Natalie Crown
Comparison fields: 5 of 55
  • Pharmacology 127
  • Geriatrics and Gerontology 35
  • Internal Medicine 26
  • Cardiology and Cardiovascular Medicine 95
  • Family Practice 4
Replace C. J. Doecke with:
C. J. Doecke Australia
Eric Dietrich United States
Kathryn M. Momary United States
David F. Lehmann United States
Michael Ward Australia
Paul H. Trienekens Netherlands
AJ Wood United States
Hanne Madsen Denmark
Mandy C. Leonard United States
Calvin H. Knowlton United States
Natalie Crown relative to C. J. Doecke Australia C. J. Doecke's profile →
Citations per field
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C. J. Doecke · 1×
Citations per year

Countries citing papers authored by Natalie Crown

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Crown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201265
2 201164
3 201162
4 201328
5 200327
6 202025
7 201615
8 202114
9 20205
10 20254
11 20254
12 20143
13 20113
14 20103
15 20232
16 20251
17 20071
18 20171
19 20241

About Natalie Crown

Natalie Crown is a scholar working on General Health Professions, Geriatrics and Gerontology, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 19 papers that have together received 328 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Health Policy Implementation Science (3 papers), Innovations in Medical Education (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Pharmaceutical studies and practices (2 papers), Vaccine Coverage and Hesitancy (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Pharmacology (127 citations), Geriatrics and Gerontology (35 citations), Internal Medicine (26 citations), Cardiology and Cardiovascular Medicine (95 citations) and Family Practice (4 citations). Natalie Crown has collaborated with scholars based in Canada, United States and Croatia. Frequent co-authors include George K. Dresser, Richard B. Kim, Inna Y. Gong, Rommel G. Tirona, Ute I. Schwarz, Alejandro Lazo‐Langner, Lisa McCarthy, Guangyong Zou, Philip S. Wells and Dan M. Roden. Their work appears in journals such as Canadian Pharmacists Journal / Revue des Pharmaciens du Canada, Human Vaccines & Immunotherapeutics, American Journal of Health-System Pharmacy, International Journal of Pharmacy Practice and Health Policy.

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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