Ruth E. Wager

1.3k citations
10 papers · 1.1k · h-index 8

Impact in

    • Systemic Lupus Erythematosus Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Atherosclerosis and Cardiovascular Diseases

Papers in

Ruth E. Wager

10 papers receiving 1.1k citations

Peers

Ruth E. Wager
Comparison fields: 5 of 70
  • Rheumatology 265
  • Immunology 229
  • Pulmonary and Respiratory Medicine 284
  • Molecular Biology 249
  • Cell Biology 52
Replace J. J. Bonerandi with:
J. J. Bonerandi France
Sazuku Nisitani Japan
Yasuo Adachi Japan
Isabelle Ronsse Belgium
Shinya Hirata Japan
D Bautista Canada
Simona Principe Italy
Patrizia Zucchini Italy
Leo J. Williams United States
Claude Ropartz France
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Citations per field
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J. J. Bonerandi · 1×
Citations per year

Countries citing papers authored by Ruth E. Wager

Since Specialization
Citations

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

Fields of papers citing papers by Ruth E. Wager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth E. Wager. 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 Ruth E. Wager. The network helps show where Ruth E. Wager may publish in the future.

Co-authors

The 14 scholars most cited alongside Ruth E. Wager, 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 Ruth E. Wager Line = papers co-authored together Ruth E. Wager links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003423
2 1987287
3 1987132
4 1991100
5 198665
6 199049
7 199039
8 199019
9
Analysis of transforming growth factor beta 1 messenger RNA degradation by the transcript-selective, 12-O-tetradecanoylphorbol-13-acetate-regulated ribonuclease system from U937 promonocytes.
19945
10
Surfactant protein group with molecular weights 28,000 to 36,000 daltons (SP 28-36) increases the association of phospholipids with freshly isolated type II cells
19862

About Ruth E. Wager

Ruth E. Wager is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Molecular Biology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Neonatal Respiratory Health Research (3 papers), TGF-β signaling in diseases (3 papers), Cholesterol and Lipid Metabolism (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Systemic Lupus Erythematosus Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Rheumatology (265 citations), Immunology (229 citations), Pulmonary and Respiratory Medicine (284 citations), Molecular Biology (249 citations) and Cell Biology (52 citations). Ruth E. Wager has collaborated with scholars based in United States. Frequent co-authors include Jo Rae Wright, Richard K. Assoian, Leland G. Dobbs, Samuel B. Hawgood, Luis B. Agellon, Ira A. Tabas, Eric C. Holland, Kurt Drickamer, Jeffrey A. Loeb and Michael S. Quesenberry. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Applied Physiology, Arthritis & Rheumatism and Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States).

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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