Jaclyn Chu

1.0k citations
12 papers · 807 · h-index 11

Impact in

Papers in

    • Antifungal resistance and susceptibility 4
    • Antimicrobial Resistance in Staphylococcus 1
    • Pneumonia and Respiratory Infections 1
    • Fungal Infections and Studies 1

Jaclyn Chu

12 papers receiving 744 citations

Peers

Jaclyn Chu
Comparison fields: 5 of 70
  • Infectious Diseases 498
  • Applied Microbiology and Biotechnology 34
  • Molecular Medicine 90
  • Epidemiology 339
  • Clinical Biochemistry 43
Replace A. Dine with:
A. Dine United States
Manuel Etienne France
Oh‐Hyun Cho South Korea
Kerry O. Cleveland United States
J.P. Bru France
Anna Maria Azzini Italy
Elisa García‐Vázquez Spain
Paula Yocum United States
Ahmad Kanaan Uwaydah Qatar
Nehama Peled Israel
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Citations per field
00.5×3.3×
A. Dine · 1×
Citations per year

Countries citing papers authored by Jaclyn Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jaclyn Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006187
2 2007171
3 2005125
4 200679
5 200669
6 200551
7 200850
8 200526
9 200919
10
Bone geometry and strength are adapted to muscle force in children and adolescents perinatally infected with HIV.
201314
11 200810
12 20076

About Jaclyn Chu

Jaclyn Chu is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Emergency Medicine and Pharmacology, having authored 12 papers that have together received 807 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (4 papers), HIV-related health complications and treatments (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antibiotic Use and Resistance (1 paper), Reproductive Health and Contraception (1 paper), Pneumonia and Respiratory Infections (1 paper), Fungal Infections and Studies (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Infectious Diseases (498 citations), Applied Microbiology and Biotechnology (34 citations), Molecular Medicine (90 citations), Epidemiology (339 citations) and Clinical Biochemistry (43 citations). Jaclyn Chu has collaborated with scholars based in United States, Greece and South Korea. Frequent co-authors include Theoklis E. Zaoutis, Thomas J. Walsh, Susan Coffin, Kateri Heydon, William J. Steinbach, Karin L. McGowan, Monika Goyal, Ebbing Lautenbach, Priya A. Prasad and Irving Nachamkin. Their work appears in journals such as PEDIATRICS, The Pediatric Infectious Disease Journal, Infection Control and Hospital Epidemiology, Pharmacoepidemiology and Drug Safety and American Journal of Epidemiology.

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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