Adam Helms

4.4k total citations · 2 hit papers
46 papers, 1.9k citations indexed

About

Adam Helms is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Adam Helms has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Adam Helms's work include Cardiomyopathy and Myosin Studies (22 papers), Cardiac Arrhythmias and Treatments (10 papers) and Cardiovascular Effects of Exercise (9 papers). Adam Helms is often cited by papers focused on Cardiomyopathy and Myosin Studies (22 papers), Cardiac Arrhythmias and Treatments (10 papers) and Cardiovascular Effects of Exercise (9 papers). Adam Helms collaborates with scholars based in United States, Italy and Australia. Adam Helms's co-authors include Sharlene M. Day, Daniel Jacoby, John Ferguson, Neal K. Lakdawala, Euan A. Ashley, J. Michael Mangrum, John Dimarco, Iacopo Olivotto, James S. Ware and Alexandre C. Pereira and has published in prestigious journals such as JAMA, Circulation and Nature Communications.

In The Last Decade

Adam Helms

41 papers receiving 1.9k citations

Hit Papers

Genotype and Lifetime Burden of Disease in Hypertrophic C... 2018 2026 2020 2023 2018 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Helms United States 21 1.7k 437 220 184 140 46 1.9k
Antonios Pantazis United Kingdom 20 1.6k 1.0× 313 0.7× 105 0.5× 173 0.9× 73 0.5× 37 1.8k
Kalliopi Pilichou Italy 27 2.9k 1.7× 371 0.8× 226 1.0× 416 2.3× 183 1.3× 82 3.2k
Jonathan H. Soslow United States 17 455 0.3× 362 0.8× 139 0.6× 199 1.1× 125 0.9× 103 848
Jan G. Post Netherlands 13 349 0.2× 217 0.5× 87 0.4× 91 0.5× 15 0.1× 26 785
Dursun Alehan Türkiye 18 595 0.4× 139 0.3× 193 0.9× 286 1.6× 139 1.0× 108 1.0k
Hadi Toeg Canada 14 248 0.1× 202 0.5× 109 0.5× 225 1.2× 19 0.1× 40 620
Elaine L. Shelton United States 17 186 0.1× 293 0.7× 415 1.9× 148 0.8× 377 2.7× 45 958
Barbara Bauce Italy 39 5.8k 3.4× 680 1.6× 295 1.3× 556 3.0× 307 2.2× 132 6.2k
Haifa Hong China 15 211 0.1× 225 0.5× 382 1.7× 312 1.7× 29 0.2× 67 770
Frank P. Ittleman United States 14 619 0.4× 261 0.6× 109 0.5× 255 1.4× 31 0.2× 31 1.0k

Countries citing papers authored by Adam Helms

Since Specialization
Citations

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

Fields of papers citing papers by Adam Helms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Helms

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

All Works

20 of 20 papers shown
1.
Ramos‐Mondragón, Roberto, Shuyun Wang, Xiaotan T. Qiao, et al.. (2025). Altered cardiac excitability and arrhythmia in models of SCN1B-linked developmental and epileptic encephalopathy. JCI Insight. 10(17). 1 indexed citations
3.
Goldsmith, Robert, et al.. (2024). In Vitro Assessment of Cardiac Fibroblast Activation at Physiologic Stiffness. Current Protocols. 4(4). e1025–e1025.
4.
Galizia, Maurício S., Anil Attili, Eric D. Smith, et al.. (2024). Imaging Features of Arrhythmogenic Cardiomyopathies. Radiographics. 44(4). e230154–e230154.
5.
Helms, Adam, et al.. (2023). Integrating mechanical cues with engineered platforms to explore cardiopulmonary development and disease. iScience. 26(12). 108472–108472. 4 indexed citations
7.
Wang, Lijia, Xianyong Yin, Francesca Luca, et al.. (2023). Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits. The American Journal of Human Genetics. 110(1). 44–57. 11 indexed citations
8.
Khan, Hina, et al.. (2023). Spatial Single Cell Analysis of Proteins in 2D Human Gastruloids Using Iterative Immunofluorescence. Current Protocols. 3(10). e915–e915. 4 indexed citations
9.
Kovacs, Boldizsar, Michael Ghannam, Jackson J. Liang, et al.. (2023). Value of genotyping and scar‐phenotyping for VT ablation procedures in patients with nonischemic left ventricular cardiomyopathies. Journal of Cardiovascular Electrophysiology. 34(9). 1835–1842.
10.
Helms, Adam, Anil Attili, Prachi Agarwal, et al.. (2022). Left and Right PVC-Induced Ventricular Dysfunction. JACC. Clinical electrophysiology. 9(2). 192–199. 3 indexed citations
11.
Zhao, Yan-Ting, Yu‐Wei Wu, Daniel L. Matera, et al.. (2021). Physiologic biomechanics enhance reproducible contractile development in a stem cell derived cardiac muscle platform. Nature Communications. 12(1). 6167–6167. 30 indexed citations
12.
Friedline, Sabrina, et al.. (2021). Myofibrillar Structural Variability Underlies Contractile Function in Stem Cell-Derived Cardiomyocytes. Stem Cell Reports. 16(3). 470–477. 8 indexed citations
13.
Helms, Adam, Andrea D. Thompson, & Sharlene M. Day. (2021). Translation of New and Emerging Therapies for Genetic Cardiomyopathies. JACC Basic to Translational Science. 7(1). 70–83. 37 indexed citations
14.
Helms, Adam, Vi T. Tang, Thomas S. O’Leary, et al.. (2019). Effects of MYBPC3 loss-of-function mutations preceding hypertrophic cardiomyopathy. JCI Insight. 5(2). 56 indexed citations
15.
Smith, Eric D., Ryan McGrath, Suwen Kumar, et al.. (2018). Exercise hemodynamics in hypertrophic cardiomyopathy identify risk of incident heart failure but not ventricular arrhythmias or sudden cardiac death. International Journal of Cardiology. 274. 226–231. 5 indexed citations
16.
Arscott, Patricia, Maryann Concannon, Sara Saberi, et al.. (2017). Genetic testing impacts the utility of prospective familial screening in hypertrophic cardiomyopathy through identification of a nonfamilial subgroup. Genetics in Medicine. 20(1). 69–75. 33 indexed citations
17.
Rocha, André Monteiro da, Guadalupe Guerrero‐Serna, Adam Helms, et al.. (2016). Deficient cMyBP-C protein expression during cardiomyocyte differentiation underlies human hypertrophic cardiomyopathy cellular phenotypes in disease specific human ES cell derived cardiomyocytes. Journal of Molecular and Cellular Cardiology. 99. 197–206. 41 indexed citations
18.
Helms, Adam, et al.. (2012). MR Cine DENSE Dyssynchrony Parameters for the Evaluation of Heart Failure. JACC. Cardiovascular imaging. 5(8). 789–797. 33 indexed citations
20.
Helms, Adam, Amit R. Patel, J. Paul Mounsey, et al.. (2008). Real‐Time Rotational ICE Imaging of the Relationship of the Ablation Catheter Tip and the Esophagus During Atrial Fibrillation Ablation. Journal of Cardiovascular Electrophysiology. 20(2). 130–137. 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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