Ray Oomen

454 citations
8 papers · 351 · h-index 7

Impact in

  • Microbiology top 10%
    • Reproductive tract infections research
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • vaccines and immunoinformatics approaches 3
    • RNA and protein synthesis mechanisms 2
    • Immunotherapy and Immune Responses 3

Ray Oomen

8 papers receiving 341 citations

Peers

Ray Oomen
Comparison fields: 5 of 62
  • Microbiology 58
  • Epidemiology 85
  • Cancer Research 38
  • Immunology 55
  • Infectious Diseases 41
Replace Scott Gallichan with:
Scott Gallichan United States
Nelly Leung Canada
Michelle Mintz United States
Kurtis M. Host United States
Natalie Lorenz New Zealand
Sabine Riekenberg Germany
Hsiang-I Liao United States
Ali Ghadersohi United States
Divyendu Singh United States
Anne‐Sophie W. Møller Poland
Ray Oomen relative to Scott Gallichan United States Scott Gallichan's profile →
Citations per field
00.5×1.5×
Scott Gallichan · 1×
Citations per year

Countries citing papers authored by Ray Oomen

Since Specialization
Citations

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

Fields of papers citing papers by Ray Oomen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2005183
2 200041
3 199839
4 201831
5 201923
6 201723
7 201010
8 20021

About Ray Oomen

Ray Oomen is a scholar working on Molecular Biology, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Microbiology, having authored 8 papers that have together received 351 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), vaccines and immunoinformatics approaches (3 papers), RNA and protein synthesis mechanisms (2 papers), NF-κB Signaling Pathways (1 paper), Mosquito-borne diseases and control (1 paper), Bacterial Infections and Vaccines (1 paper), COVID-19 epidemiological studies (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Microbiology (58 citations), Epidemiology (85 citations), Cancer Research (38 citations), Immunology (55 citations) and Infectious Diseases (41 citations). Ray Oomen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mark Parrington, Neil L. Berinstein, Gustavo V. Mallo, Wedad Hanna, Kurt Gish, Jalil Hakimi, Scott Gallichan, Laszlo Radvanyi, Deon J. Venter and Jane E. Armes. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Immunotherapy, Journal of Virology, Proceedings of the National Academy of Sciences and Molecular & Cellular Proteomics.

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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