Cas LeMaster

439 citations
12 papers · 212 · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • Vaccine Coverage and Hesitancy

Papers in

    • SARS-CoV-2 and COVID-19 Research 7
    • Viral gastroenteritis research and epidemiology 3
    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 detection and testing 1
    • Animal Virus Infections Studies 3

Cas LeMaster

11 papers receiving 210 citations

Peers

Cas LeMaster
Comparison fields: 5 of 40
  • Infectious Diseases 162
  • Health 22
  • Obstetrics and Gynecology 16
  • Animal Science and Zoology 21
  • Modeling and Simulation 8
Replace Ruxia Ding with:
Ruxia Ding China
Svetlana Shpyro Germany
Caleb Stokes United States
Sebastian Einhauser Germany
Jessica Miller United States
Deyu Jiang China
Preshetha Kanagaiah United States
Martin Mayora Neto United Kingdom
Kaimin Chan Hong Kong
Emily Degli-Angeli United States
Cas LeMaster relative to Ruxia Ding China Ruxia Ding's profile →
Citations per field
00.5×4.3×
Ruxia Ding · 1×
Citations per year

Countries citing papers authored by Cas LeMaster

Since Specialization
Citations

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

Fields of papers citing papers by Cas LeMaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2021100
2 202144
3 202227
4 202312
5 202410
6 20218
7 20225
8 20233
9 20221
10 20261
11 20221
12 20220

About Cas LeMaster

Cas LeMaster is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Nutrition and Dietetics and Immunology, having authored 12 papers that have together received 212 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Virus Infections Studies (3 papers), Infant Nutrition and Health (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 detection and testing (1 paper), Diabetes and associated disorders (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Infectious Diseases (162 citations), Health (22 citations), Obstetrics and Gynecology (16 citations), Animal Science and Zoology (21 citations) and Modeling and Simulation (8 citations). Cas LeMaster has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Todd Bradley, Elizabeth Fraley, Elin Grundberg, Rangaraj Selvarangan, Dithi Banerjee, Santosh Khanal, Tomi Pastinen, Daniel Louiselle, Rebecca McLennan and Bradley Belden. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Journal of Virology, Clinical Infectious Diseases and Vaccines.

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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