David Ruble

1.0k total citations
9 papers, 182 citations indexed

About

David Ruble is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, David Ruble has authored 9 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Microbiology. Recurrent topics in David Ruble's work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and vaccines and immunoinformatics approaches (1 paper). David Ruble is often cited by papers focused on RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and vaccines and immunoinformatics approaches (1 paper). David Ruble collaborates with scholars based in United States, Belgium and United Kingdom. David Ruble's co-authors include Robert E. Hunt, Anthony J. Johnson, Rodney Trout, J Tseng, Jack Komisar, M. Louise M. Pitt, Robert F. Miller, Evelina Angov, W. Ripley Ballou and Jeffrey A. Lyon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Infection and Immunity and Vaccine.

In The Last Decade

David Ruble

9 papers receiving 175 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Ruble United States 6 93 76 37 31 20 9 182
Alireza Masoudi Iran 4 62 0.7× 86 1.1× 42 1.1× 28 0.9× 14 0.7× 9 196
Elise Larson United States 6 108 1.2× 128 1.7× 92 2.5× 25 0.8× 36 1.8× 6 274
Bruna F.M.M. Porchia Brazil 10 129 1.4× 146 1.9× 57 1.5× 42 1.4× 55 2.8× 13 316
Matt Liu United States 4 70 0.8× 32 0.4× 27 0.7× 13 0.4× 37 1.9× 5 153
Cristian R. Falcón Argentina 10 138 1.5× 60 0.8× 38 1.0× 35 1.1× 19 0.9× 13 311
Jeffrey Shu United States 3 186 2.0× 71 0.9× 26 0.7× 30 1.0× 34 1.7× 3 244
Kavita Tewari United States 6 210 2.3× 59 0.8× 27 0.7× 22 0.7× 45 2.3× 9 294
Paola Agnellini Switzerland 5 308 3.3× 42 0.6× 34 0.9× 10 0.3× 57 2.9× 6 364
David Pejoski France 8 147 1.6× 66 0.9× 39 1.1× 7 0.2× 65 3.3× 11 231
Brady J. Summers United States 9 107 1.2× 120 1.6× 112 3.0× 24 0.8× 31 1.6× 9 313

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-authorship network of co-authors of David Ruble

This figure shows the co-authorship network connecting the top 25 collaborators of David Ruble. A scholar is included among the top collaborators of David Ruble based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Ruble. David Ruble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Buckley, Jonathan D., Ryan J. Schmidt, Dejerianne Ostrow, et al.. (2023). An Exome Capture-Based RNA-Sequencing Assay for Genome-Wide Identification and Prioritization of Clinically Important Fusions in Pediatric Tumors. Journal of Molecular Diagnostics. 26(2). 127–139. 3 indexed citations
2.
Zhou, Shengmei, Meng Li, Dejerianne Ostrow, et al.. (2022). Potential methylation-regulated genes and pathways in hepatocellular neoplasm, not otherwise specified. Frontiers in Oncology. 12. 952325–952325. 2 indexed citations
3.
Ji, Jianling, David M. Parham, Li Shen, et al.. (2017). Inherited germline ATRX mutation in two brothers with ATR‐X syndrome and osteosarcoma. American Journal of Medical Genetics Part A. 173(5). 1390–1395. 23 indexed citations
4.
Stanford, Stephanie M., Rekha G. Panchal, Matthew D. Falk, et al.. (2012). High-throughput screen using a single-cell tyrosine phosphatase assay reveals biologically active inhibitors of tyrosine phosphatase CD45. Proceedings of the National Academy of Sciences. 109(35). 13972–13977. 27 indexed citations
5.
Pichyangkul, Sathit, Montip Gettayacamin, Robert F. Miller, et al.. (2004). Pre-clinical evaluation of the malaria vaccine candidate . MSP1 formulated with novel adjuvants or with alum. Vaccine. 22(29-30). 3831–3840. 49 indexed citations
6.
Ruble, David, et al.. (1998). Comparison of Q fever cellular and chloroform-methanol residue vaccines as skin test antigens in the sensitized guinea pig.. PubMed. 42(3). 147–55. 5 indexed citations
7.
Tseng, J, Jack Komisar, Robert Hunt, et al.. (1995). Immunity to aerosolized staphylococcal enterotoxin B.. PubMed. 371B. 1615–9. 1 indexed citations
8.
Tseng, J, Jack Komisar, Rodney Trout, et al.. (1995). Humoral immunity to aerosolized staphylococcal enterotoxin B (SEB), a superantigen, in monkeys vaccinated with SEB toxoid-containing microspheres. Infection and Immunity. 63(8). 2880–2885. 53 indexed citations
9.
Tseng, J, Jack Komisar, Robert E. Hunt, et al.. (1993). Immunity and responses of circulating leukocytes and lymphocytes in monkeys to aerosolized staphylococcal enterotoxin B. Infection and Immunity. 61(2). 391–398. 19 indexed citations

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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