David Ruble

1.0k citations
9 papers · 182 indexed · h-index 6

Impact in

    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 2
    • Protein Tyrosine Phosphatases 1
    • Chromatin Remodeling and Cancer 1
    • interferon and immune responses 1
    • Galectins and Cancer Biology 1

David Ruble

9 papers receiving 175 citations

Peers

David Ruble
Comparison fields: 5 of 49
  • Immunology 93
  • Infectious Diseases 37
  • Pharmaceutical Science 10
  • Endocrinology 8
  • Microbiology 8
Replace Alireza Masoudi with:
Alireza Masoudi Iran
Bruna F.M.M. Porchia Brazil
Caroline L. Ashley Australia
Bishnu P. Nayak India
Kavita Tewari United States
Kaori Okada United States
David Pejoski France
Karelia Cosme Cuba
Jeffrey Shu United States
David Ruble relative to Alireza Masoudi Iran Alireza Masoudi's profile →
Citations per field
00.5×
Alireza Masoudi · 1×
Citations per year

Countries citing papers authored by David Ruble

Since Specialization
Citations

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

Fields of papers citing papers by David Ruble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 199553
2 200449
3 201227
4 201723
5 199319
6
Comparison of Q fever cellular and chloroform-methanol residue vaccines as skin test antigens in the sensitized guinea pig.
19985
7 20233
8 20222
9
Immunity to aerosolized staphylococcal enterotoxin B.
19951

About David Ruble

David Ruble is a scholar working on Molecular Biology, Immunology, Microbiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 182 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), interferon and immune responses (1 paper), Cancer Genomics and Diagnostics (1 paper), Protein Tyrosine Phosphatases (1 paper), Chromatin Remodeling and Cancer (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (93 citations), Infectious Diseases (37 citations), Pharmaceutical Science (10 citations), Endocrinology (8 citations) and Microbiology (8 citations). David Ruble has collaborated with scholars based in United States, Thailand and Belgium. Frequent co-authors include J Tseng, Anthony J. Johnson, Rodney Trout, Robert E. Hunt, M. Louise M. Pitt, Jack Komisar, Jeffrey A. Lyon, Evelina Angov, Pongsri Tongtawe and Kent E. Kester. Their work appears in journals such as Infection and Immunity, Journal of Molecular Diagnostics, Frontiers in Oncology, Proceedings of the National Academy of Sciences and Vaccine.

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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