Robert Plenge

3.2k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Robert Plenge is a scholar working on Rheumatology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert Plenge has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert Plenge's work include Rheumatoid Arthritis Research and Therapies (7 papers), Systemic Lupus Erythematosus Research (5 papers) and Genetic Associations and Epidemiology (2 papers). Robert Plenge is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Systemic Lupus Erythematosus Research (5 papers) and Genetic Associations and Epidemiology (2 papers). Robert Plenge collaborates with scholars based in United States, United Kingdom and Sweden. Robert Plenge's co-authors include John J. O’Shea, Soumya Raychaudhuri, Eli A. Stahl, Hyun Kim, Xinli Hu, Mark J. Daly, Stephen Eyre, Jane Worthington, Anne Barton and Annie Yarwood and has published in prestigious journals such as Immunity, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Robert Plenge

17 papers receiving 1.3k citations

Hit Papers

JAK and STAT Signaling Molecules in Immunoregulation and ... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Plenge United States 11 471 337 306 268 161 17 1.3k
Joseph C. Marini United States 17 748 1.6× 376 1.1× 177 0.6× 363 1.4× 179 1.1× 29 1.5k
Garvin L. Warner United States 21 807 1.7× 349 1.0× 217 0.7× 137 0.5× 114 0.7× 36 1.4k
Ping Wu China 24 466 1.0× 538 1.6× 167 0.5× 149 0.6× 122 0.8× 66 1.5k
Lorena Martinez‐Gamboa Germany 14 277 0.6× 373 1.1× 97 0.3× 187 0.7× 124 0.8× 29 1.0k
Mary C. Wacholtz United States 23 925 2.0× 293 0.9× 201 0.7× 350 1.3× 91 0.6× 45 1.8k
Barbara P. Vistica United States 22 744 1.6× 352 1.0× 230 0.8× 186 0.7× 71 0.4× 38 1.4k
Zhongping Zhan China 25 431 0.9× 449 1.3× 153 0.5× 700 2.6× 72 0.4× 70 1.6k
Tamio Koizumi Japan 21 380 0.8× 433 1.3× 181 0.6× 74 0.3× 92 0.6× 75 1.3k
Charles Pendley United States 20 926 2.0× 438 1.3× 187 0.6× 283 1.1× 154 1.0× 31 1.7k
Sally Thomas United Kingdom 14 225 0.5× 494 1.5× 338 1.1× 147 0.5× 419 2.6× 26 1.6k

Countries citing papers authored by Robert Plenge

Since Specialization
Citations

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

Fields of papers citing papers by Robert Plenge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Plenge

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Plenge. A scholar is included among the top collaborators of Robert Plenge 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 Robert Plenge. Robert Plenge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Yousri, Noha A., Karim Bayoumy, Robert P. Mohney, et al.. (2017). Large Scale Metabolic Profiling identifies Novel Steroids linked to Rheumatoid Arthritis. Scientific Reports. 7(1). 9137–9137. 27 indexed citations
3.
Yarwood, Annie, Sébastien Viatte, Yukinori Okada, et al.. (2015). Loci associated with N-glycosylation of human IgG are not associated with rheumatoid arthritis: a Mendelian randomisation study. Annals of the Rheumatic Diseases. 75(1). 317–320. 18 indexed citations
4.
Bao, Ying, Gary C. Curhan, Tony R. Merriman, et al.. (2015). Lack of gene–diuretic interactions on the risk of incident gout: the Nurses’ Health Study and Health Professionals Follow-up Study. Annals of the Rheumatic Diseases. 74(7). 1394–1398. 15 indexed citations
5.
Kumar, Vishesh, Su–Chun Cheng, Sheng Yu, et al.. (2014). NATURAL LANGUAGE PROCESSING IMPROVES PHENOTYPIC ACCURACY IN AN ELECTRONIC MEDICAL RECORD COHORT OF TYPE 2 DIABETES AND CARDIOVASCULAR DISEASE. Journal of the American College of Cardiology. 63(12). A1359–A1359. 13 indexed citations
6.
Sinnott, Jennifer A., Wei Dai, Katherine P. Liao, et al.. (2014). Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records. Human Genetics. 133(11). 1369–1382. 39 indexed citations
7.
Chhibber, Aparna, Deanna L. Kroetz, Kelan G. Tantisira, et al.. (2014). Genomic Architecture of Pharmacological Efficacy and Adverse Events. Pharmacogenomics. 15(16). 2025–2048. 14 indexed citations
8.
Yarwood, Annie, Buhm Han, Soumya Raychaudhuri, et al.. (2013). A weighted genetic risk score using all known susceptibility variants to estimate rheumatoid arthritis risk. Annals of the Rheumatic Diseases. 74(1). 170–176. 51 indexed citations
9.
McAllister, Kate, Annie Yarwood, John Bowes, et al.. (2013). Brief Report: Identification of BACH2 and RAD51B as Rheumatoid Arthritis Susceptibility Loci in a Meta‐Analysis of Genome‐Wide Data. Arthritis & Rheumatism. 65(12). 3058–3062. 43 indexed citations
10.
Canhão, Helena, Ana Maria Rodrigues, María José Santos, et al.. (2013). A7.16 Lack of Replication of PTPRC Gene as a Predictor of Response to Anti-Tumour Necrosis Factor Therapy in Patients with Rheumatoid Arthritis. Annals of the Rheumatic Diseases. 72. A53–A53. 1 indexed citations
11.
Eyre, Stephen, John Bowes, Anne Barton, et al.. (2012). Fine mapping in over 14,000 rheumatoid arthritis cases and 18,500 controls refines associations to known loci, indicates multiple independent affects and reveals novel associations. Lara D. Veeken. 51. 50–50. 1 indexed citations
12.
O’Shea, John J. & Robert Plenge. (2012). JAK and STAT Signaling Molecules in Immunoregulation and Immune-Mediated Disease. Immunity. 36(4). 542–550. 883 indexed citations breakdown →
13.
Canhão, Helena, Ana Maria Rodrigues, María José Santos, et al.. (2012). TRAF1/C5 locus is associated with response to anti-TNF in rheumatoid arthritis. Journal of Translational Medicine. 10(S3). 1 indexed citations
14.
Hu, Xinli, Hyun Kim, Eli A. Stahl, et al.. (2011). Integrating Autoimmune Risk Loci with Gene-Expression Data Identifies Specific Pathogenic Immune Cell Subsets. The American Journal of Human Genetics. 89(4). 496–506. 111 indexed citations
15.
Seielstad, Mark, Leonid Padyukov, Xiayi Ke, et al.. (2008). OR.103. Combined Analysis of Three Genome-wide Scans Reveals Additional Loci Associated with Rheumatoid Arthritis. Clinical Immunology. 127. S41–S41. 1 indexed citations
16.
Plenge, Robert, et al.. (1971). Ventricular performance, coronary flow, and MVo 2 in hamster cardiomyopathy with failure. American Journal of Physiology-Legacy Content. 221(3). 684–689. 2 indexed citations
17.
Plenge, Robert, et al.. (1970). Myocardial oxygen consumption of blood-perfused, isolated, supported, rat heart. American Journal of Physiology-Legacy Content. 219(3). 604–612. 43 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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