Shannon Chan

19 papers receiving 544 citations

Peers

Shannon Chan
Comparison fields: 5 of 65
  • Applied Microbiology and Biotechnology 359
  • Clinical Biochemistry 132
  • Geriatrics and Gerontology 49
  • Critical Care and Intensive Care Medicine 62
  • Pharmacology 140
Replace M. Cecilia Di Pentima with:
M. Cecilia Di Pentima United States
Ed Casabar United States
W. Lawson United Kingdom
Loria Pollack United States
Michaela Steib–Bauert Germany
David X. Li United States
Nilam Patel United States
Faranak Ansari Belgium
Amanda L. Hurst United States
Sarah Kabbani United States
Shannon Chan relative to M. Cecilia Di Pentima United States M. Cecilia Di Pentima's profile →
Citations per field
00.5×1.5×2.0×
M. Cecilia Di Pentima · 1×
Citations per year

Countries citing papers authored by Shannon Chan

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012170
2 2011113
3 201072
4 200951
5 201830
6 201417
7 201216
8 201415
9 201514
10 201413
11 201413
12 20148
13
Common association of haemolytic uraemic syndrome with invasive Streptococcus pneumoniae infection in five Chinese paediatric patients.
20115
14 20094
15 20133
16 20233
17 20193
18 20152
19 20111

About Shannon Chan

Shannon Chan is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Clinical Biochemistry, Pharmacology and Epidemiology, having authored 19 papers that have together received 553 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Fungal Infections and Studies (2 papers), Streptococcal Infections and Treatments (2 papers) and Patient Satisfaction in Healthcare (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (359 citations), Clinical Biochemistry (132 citations), Geriatrics and Gerontology (49 citations), Critical Care and Intensive Care Medicine (62 citations) and Pharmacology (140 citations). Shannon Chan has collaborated with scholars based in United States, Hong Kong and Indonesia. Frequent co-authors include M. Cecilia Di Pentima, Jobayer Hossain, Harold C. Standiford, Elizabeth Weekes, Graeme N. Forrest, Stephen C. Eppes, Joel D. Klein, Valerie J. Flaherman, Sanjeev Swami and Dustin D. Flannery. Their work appears in journals such as The Pediatric Infectious Disease Journal, Journal of Pediatric Hematology/Oncology, Surgical Infections, Journal of Clinical Microbiology and PEDIATRICS.

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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