Caroline Chen

475 citations
16 papers · 304 · h-index 9

Impact in

Papers in

Caroline Chen

14 papers receiving 299 citations

Peers

Caroline Chen
Comparison fields: 5 of 66
  • Applied Microbiology and Biotechnology 83
  • Pharmacology 125
  • Toxicology 25
  • Immunology and Allergy 44
  • Molecular Medicine 30
Replace Sharmila Khumra with:
Sharmila Khumra Australia
Valerie Cluzet United States
Neil Powell United Kingdom
Kristi Kuper United States
Edward L. Goodman United States
Rosemary Zvonar Canada
Christy Varughese United States
Farnaz Foolad United States
Diana Yu United States
Maryrose Laguio‐Vila United States
Caroline Chen relative to Sharmila Khumra Australia Sharmila Khumra's profile →
Citations per field
00.5×3.9×
Sharmila Khumra · 1×
Citations per year

Countries citing papers authored by Caroline Chen

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016105
2 201357
3 201435
4 202217
5 201616
6 201615
7 201614
8 201812
9 20209
10 20177
11
Surgical National Antimicrobial Prescribing Survey: Results of the 2016 pilot
20176
12 20195
13 20195
14
The Danceable City: Aging Women Improvising Health Practices in Beijing's Interstitial Spaces, 2004-2010
20121
15 20250
16 20250

About Caroline Chen

Caroline Chen is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, General Health Professions, Clinical Biochemistry and Epidemiology, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (8 papers), Patient Satisfaction in Healthcare (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Tuberculosis Research and Epidemiology (2 papers), Urinary Tract Infections Management (2 papers), Antibiotic Resistance in Bacteria (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (83 citations), Pharmacology (125 citations), Toxicology (25 citations), Immunology and Allergy (44 citations) and Molecular Medicine (30 citations). Caroline Chen has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Karin Thursky, Kirsty Buising, Justin Jackson, Monica A. Slavin, M. Lindsay Grayson, Allen Cheng, Jason A. Trubiano, Emma S. McBryde, Damon P. Eisen and Justin T. Denholm. Their work appears in journals such as Epidemiology and Infection, Infection Disease & Health, Current Opinion in Infectious Diseases, Journal of Biomechanics and The Medical Journal of Australia.

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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