Steven G. Hershman

3.7k total citations
33 papers, 1.4k citations indexed

About

Steven G. Hershman is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Steven G. Hershman has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Steven G. Hershman's work include Mobile Health and mHealth Applications (7 papers), Mitochondrial Function and Pathology (5 papers) and Metabolism and Genetic Disorders (5 papers). Steven G. Hershman is often cited by papers focused on Mobile Health and mHealth Applications (7 papers), Mitochondrial Function and Pathology (5 papers) and Metabolism and Genetic Disorders (5 papers). Steven G. Hershman collaborates with scholars based in United States, Canada and Australia. Steven G. Hershman's co-authors include Sarah E. Calvo, Vamsi K. Mootha, F. Brad Johnson, Li‐San Wang, David R. Thorburn, Daniel S. Lieber, Qijun Chen, Yue Peng, Marina Kozak and Julia Y. Lee and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and The Plant Cell.

In The Last Decade

Steven G. Hershman

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven G. Hershman United States 13 903 302 157 145 117 33 1.4k
Linda Surh Canada 21 719 0.8× 65 0.2× 47 0.3× 27 0.2× 11 0.1× 39 1.4k
Beverly M. Yashar United States 24 1.1k 1.2× 17 0.1× 75 0.5× 103 0.7× 16 0.1× 67 2.1k
Robert Robbins United States 17 332 0.4× 10 0.0× 94 0.6× 86 0.6× 24 0.2× 63 1.1k
Patrick Sulem Iceland 26 974 1.1× 34 0.1× 49 0.3× 144 1.0× 5 0.0× 51 2.7k
Francis S. Collins United States 6 923 1.0× 21 0.1× 64 0.4× 108 0.7× 8 0.1× 9 2.0k
Jennifer MacKenzie Canada 16 246 0.3× 15 0.0× 128 0.8× 44 0.3× 12 0.1× 55 1.0k
Qing Yang China 23 380 0.4× 26 0.1× 10 0.1× 27 0.2× 31 0.3× 90 1.6k
Michelle Green United States 15 583 0.6× 34 0.1× 12 0.1× 21 0.1× 16 0.1× 44 1.3k
Thomas M. Morgan United States 19 662 0.7× 42 0.1× 52 0.3× 20 0.1× 5 0.0× 42 1.7k
Ruth Hogg United Kingdom 32 625 0.7× 80 0.3× 27 0.2× 12 0.1× 5 0.0× 129 3.3k

Countries citing papers authored by Steven G. Hershman

Since Specialization
Citations

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

Fields of papers citing papers by Steven G. Hershman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven G. Hershman. 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 Steven G. Hershman. The network helps show where Steven G. Hershman may publish in the future.

Co-authorship network of co-authors of Steven G. Hershman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven G. Hershman. A scholar is included among the top collaborators of Steven G. Hershman 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 Steven G. Hershman. Steven G. Hershman 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.
Kim, Daniel Seung, Jack W. O’Sullivan, Steven G. Hershman, et al.. (2025). Unlocking insights: Clinical associations from the largest 6-minute walk test collection via the my Heart Counts Cardiovascular Health Study, a fully digital smartphone platform. Progress in Cardiovascular Diseases. 89. 45–52. 3 indexed citations
2.
Foroutan, Farid, Valeria E. Rac, Joseph A Cafazzo, et al.. (2024). Feasibility of Single-Lead Apple Watch Electrocardiogram in Atrial Fibrillation Detection Among Heart Failure Patients. JACC Advances. 3(7). 101051–101051. 2 indexed citations
3.
Gupta, Varsha, Emmanuel Jammeh, Naomi Meardon, et al.. (2023). Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices. npj Digital Medicine. 6(1). 239–239. 4 indexed citations
4.
Malhamé, Isabelle, Matthias G. Friedrich, Nadia Giannetti, et al.. (2023). Mobile Health Fitness Interventions. JACC Advances. 2(8). 100613–100613. 1 indexed citations
5.
Hershman, Steven G., et al.. (2022). Mobile Health Study Incorporating Novel Fitness Test. Journal of Cardiovascular Translational Research. 16(3). 569–580. 3 indexed citations
6.
Foroutan, Farid, Juan Duero Posada, Michael E. Farkouh, et al.. (2021). Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 10(10). e26816–e26816. 2 indexed citations
7.
Minhas, Jasleen, Haochang Shou, Steven G. Hershman, et al.. (2021). Physical Activity and Its Association with Traditional Outcome Measures in Pulmonary Arterial Hypertension. Annals of the American Thoracic Society. 19(4). 572–582. 10 indexed citations
10.
Moayedi, Yasbanoo, Steven G. Hershman, Heather J. Ross, Kiran K. Khush, & Jeffrey J. Teuteberg. (2019). Perceived Generational, Geographic, and Sex-Based Differences in Choosing a Career in Advanced Heart Failure. Circulation Heart Failure. 12(7). e005754–e005754. 9 indexed citations
11.
Hershman, Steven G., Brian M. Bot, Anna Shcherbina, et al.. (2019). Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Scientific Data. 6(1). 24–24. 48 indexed citations
12.
Chan, Yu‐Feng Yvonne, Brian M. Bot, Micol Zweig, et al.. (2018). The asthma mobile health study, smartphone data collected using ResearchKit. Scientific Data. 5(1). 180096–180096. 38 indexed citations
13.
Chan, Yu‐Feng Yvonne, Pei Wang, Linda Rogers, et al.. (2017). The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit. Nature Biotechnology. 35(4). 354–362. 146 indexed citations
14.
Tignor, Nicole, Pei Wang, Nicholas Genes, et al.. (2016). METHODS FOR CLUSTERING TIME SERIES DATA ACQUIRED FROM MOBILE HEALTH APPS. PubMed. 22. 300–311. 7 indexed citations
15.
Bianchi, Matt T., et al.. (2014). The Challenge of Undiagnosed Sleep Apnea in Low-Risk Populations: A Decision Analysis. Military Medicine. 179(8S). 47–54. 5 indexed citations
16.
Lieber, Daniel S., Steven G. Hershman, Nancy G. Slate, et al.. (2014). Next generation sequencing with copy number variant detection expands the phenotypic spectrum of HSD17B4-deficiency. BMC Medical Genetics. 15(1). 30–30. 35 indexed citations
17.
Tucker, Elena J., Steven G. Hershman, Caroline Köhrer, et al.. (2011). Mutations in MTFMT Underlie a Human Disorder of Formylation Causing Impaired Mitochondrial Translation. Cell Metabolism. 14(3). 428–434. 125 indexed citations
18.
Ryvkin, Paul, Steven G. Hershman, Li‐San Wang, & F. Brad Johnson. (2009). Computational Approaches to the Detection and Analysis of Sequences with Intramolecular G-Quadruplex Forming Potential. Methods in molecular biology. 608. 39–50. 8 indexed citations
19.
Bezhani, Staver, Cara M. Winter, Steven G. Hershman, et al.. (2007). Unique, Shared, and Redundant Roles for the Arabidopsis SWI/SNF Chromatin Remodeling ATPases BRAHMA and SPLAYED. The Plant Cell. 19(2). 403–416. 141 indexed citations
20.
Hershman, Steven G., Qijun Chen, Julia Y. Lee, et al.. (2007). Genomic distribution and functional analyses of potential G-quadruplex-forming sequences in Saccharomyces cerevisiae. Nucleic Acids Research. 36(1). 144–156. 234 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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