Kevin Chiem

2.5k citations
51 papers · 1.0k · h-index 18

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Antibiotic Resistance in Bacteria

Papers in

    • SARS-CoV-2 and COVID-19 Research 21
    • SARS-CoV-2 detection and testing 9
    • Viral gastroenteritis research and epidemiology 7
    • RNA and protein synthesis mechanisms 6

Kevin Chiem

50 papers receiving 993 citations

Peers

Kevin Chiem
Comparison fields: 5 of 91
  • Infectious Diseases 499
  • Molecular Medicine 90
  • Animal Science and Zoology 125
  • Endocrinology 46
  • Epidemiology 252
Replace Zengqi Yang with:
Zengqi Yang China
Michèle Dargis Canada
Ravi Kumar Gandham India
Eng Lee Tan Singapore
Xia Yang China
Jarrod J. Mousa United States
Jia Hu China
Chengsong Wan China
Ghyslaine Vanier Canada
Hongxia Shao China
Kevin Chiem relative to Zengqi Yang China Zengqi Yang's profile →
Citations per field
00.5×1.7×
Zengqi Yang · 1×
Citations per year

Countries citing papers authored by Kevin Chiem

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Chiem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 202182
3 202078
4 202150
5 201948
6 201847
7 202145
8 202137
9 201636
10 202135
11 201935
12 201530
13 202227
14 202025
15 201821
16 202018
17 201517
18 202217
19 201917
20 201917

About Kevin Chiem

Kevin Chiem is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Genetics, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), Influenza Virus Research Studies (15 papers), Respiratory viral infections research (14 papers), SARS-CoV-2 detection and testing (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Virus-based gene therapy research (7 papers), Antibiotic Resistance in Bacteria (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Infectious Diseases (499 citations), Molecular Medicine (90 citations), Animal Science and Zoology (125 citations), Endocrinology (46 citations) and Epidemiology (252 citations). Kevin Chiem has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Luis Martínez‐Sobrido, Aitor Nogales, Chengjin Ye, Jun‐Gyu Park, Marta L. DeDiego, Tim Anderson, Desarey Morales Vasquez, Marcelo E. Tolmasky, James J. Kobie and Juan Carlos de la Torre. Their work appears in journals such as Journal of Virology, Microbiology Spectrum, Journal of Visualized Experiments, Advanced Science and PLoS ONE.

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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