J Rudy

1.1k total citations · 1 hit paper
6 papers, 682 citations indexed

About

J Rudy is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, J Rudy has authored 6 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 1 paper in Molecular Biology and 1 paper in Nutrition and Dietetics. Recurrent topics in J Rudy's work include Cardiac electrophysiology and arrhythmias (4 papers), Viral Infections and Immunology Research (4 papers) and Virus-based gene therapy research (1 paper). J Rudy is often cited by papers focused on Cardiac electrophysiology and arrhythmias (4 papers), Viral Infections and Immunology Research (4 papers) and Virus-based gene therapy research (1 paper). J Rudy collaborates with scholars based in United States, Netherlands and United Kingdom. J Rudy's co-authors include Krisztina M. Zsebo, Barry Greenberg, Kim Wagner, Roger J. Hajjar, Alex Yaroshinsky, G. Michael Felker, Adriaan A. Voors, Mariell Jessup, Javed Butler and Piotr Ponikowski and has published in prestigious journals such as The Lancet, Circulation Research and Journal of Cardiac Failure.

In The Last Decade

J Rudy

6 papers receiving 671 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Calcium upregulation by percutaneous administration of gene therapy in patients with cardiac disease (CUPID 2): a randomised, multinational, double-blind, placebo-controlled, phase 2b trial

2016 337 citations Barry Greenberg, Javed Butler et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Rudy United States	4	430	416	151	95	67	6	682
Kim Wagner United States	3	311 0.7×	326 0.8×	146 1.0×	50 0.5×	45 0.7×	4	489
Stefanie Schinkel Germany	9	282 0.7×	379 0.9×	155 1.0×	51 0.5×	44 0.7×	13	510
Nancy Dalton United States	11	359 0.8×	409 1.0×	83 0.5×	56 0.6×	35 0.5×	16	656
Shan Parikh United States	9	330 0.8×	700 1.7×	41 0.3×	209 2.2×	111 1.7×	14	858
Fotis Kolokathis Greece	11	707 1.6×	478 1.1×	47 0.3×	49 0.5×	48 0.7×	16	850
Noriko Niwa Japan	8	380 0.9×	514 1.2×	34 0.2×	73 0.8×	118 1.8×	11	616
Yee‐Man Lau Hong Kong	11	216 0.5×	476 1.1×	24 0.2×	93 1.0×	147 2.2×	15	638
Ryan P. O’Connell United States	11	441 1.0×	324 0.8×	37 0.2×	14 0.1×	64 1.0×	17	645
Alejandro Giraldo United Kingdom	10	124 0.3×	263 0.6×	102 0.7×	42 0.4×	16 0.2×	26	410
Riham Abouleisa United States	12	135 0.3×	261 0.6×	23 0.2×	74 0.8×	41 0.6×	24	386

Countries citing papers authored by J Rudy

Since Specialization

Citations

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

Fields of papers citing papers by J Rudy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Rudy

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

All Works

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6 of 6 papers shown

1.

Greenberg, Barry, Javed Butler, G. Michael Felker, et al.. (2016). Calcium upregulation by percutaneous administration of gene therapy in patients with cardiac disease (CUPID 2): a randomised, multinational, double-blind, placebo-controlled, phase 2b trial. The Lancet. 387(10024). 1178–1186. 337 indexed citations breakdown →

2.

Greenberg, Barry, Javed Butler, G. Michael Felker, et al.. (2015). CUPID 2: A Phase 2b Trial Investigating the Efficacy and Safety of the Intracoronary Administration of AAV1/SERCA2a in Patients with Advanced Heart Failure. Journal of Cardiac Failure. 21(11). 939–940. 7 indexed citations

3.

Greenberg, Barry, Alex Yaroshinsky, Krisztina M. Zsebo, et al.. (2014). Design of a Phase 2b Trial of Intracoronary Administration of AAV1/SERCA2a in Patients With Advanced Heart Failure. JACC Heart Failure. 2(1). 84–92. 109 indexed citations

4.

Zsebo, Krisztina M., Alex Yaroshinsky, J Rudy, et al.. (2013). Long-Term Effects of AAV1/SERCA2a Gene Transfer in Patients With Severe Heart Failure. Circulation Research. 114(1). 101–108. 227 indexed citations

5.

Rudy, J, et al.. (1978). [Correlation between serum copper level and enzymatic activity as well as the level of protein in ceruloplasmin].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 16(1). 13–9. 1 indexed citations

6.

Rudy, J, et al.. (1973). [Cuprenil in the treatment of rheumatoid arthritis].. PubMed. 28(27). 1035–7. 1 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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