Harold S. Bernstein

3.6k total citations
67 papers, 2.7k citations indexed

About

Harold S. Bernstein is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Harold S. Bernstein has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 23 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Harold S. Bernstein's work include Pluripotent Stem Cells Research (21 papers), Tissue Engineering and Regenerative Medicine (16 papers) and CRISPR and Genetic Engineering (10 papers). Harold S. Bernstein is often cited by papers focused on Pluripotent Stem Cells Research (21 papers), Tissue Engineering and Regenerative Medicine (16 papers) and CRISPR and Genetic Engineering (10 papers). Harold S. Bernstein collaborates with scholars based in United States, Japan and Germany. Harold S. Bernstein's co-authors include Deepak Srivastava, Carissa Ritner, Frank W. King, Shaun R. Coughlin, David F. Bishop, Robert J. Desnick, James Bristow, Jason E. Fish, Edward C. Hsiao and Ru-Fang Yeh and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Harold S. Bernstein

65 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harold S. Bernstein United States 29 1.7k 641 454 391 343 67 2.7k
Yee Sook Cho South Korea 29 1.9k 1.1× 577 0.9× 311 0.7× 182 0.5× 198 0.6× 66 3.1k
Lingfeng Qin United States 35 1.7k 1.0× 754 1.2× 522 1.1× 229 0.6× 204 0.6× 70 3.6k
Roberta Morosetti Italy 31 1.9k 1.1× 554 0.9× 257 0.6× 463 1.2× 182 0.5× 73 3.3k
Yelena Parfyonova Russia 29 1.1k 0.6× 679 1.1× 411 0.9× 234 0.6× 323 0.9× 131 2.5k
Rachel Sarig Israel 18 1.9k 1.1× 522 0.8× 303 0.7× 248 0.6× 163 0.5× 23 2.4k
André Menke Germany 35 2.6k 1.5× 1.3k 2.1× 626 1.4× 308 0.8× 185 0.5× 56 5.0k
Toshiyuki Ikeda Japan 33 1.8k 1.0× 433 0.7× 673 1.5× 215 0.5× 205 0.6× 98 3.6k
Paul Delgado-Olguı́n Canada 19 2.9k 1.7× 998 1.6× 442 1.0× 195 0.5× 145 0.4× 49 3.5k
Joseph Gannon United States 21 2.1k 1.2× 1.3k 2.1× 326 0.7× 242 0.6× 368 1.1× 26 3.7k
Takao Setoguchi Japan 30 1.4k 0.8× 464 0.7× 442 1.0× 172 0.4× 160 0.5× 98 3.1k

Countries citing papers authored by Harold S. Bernstein

Since Specialization
Citations

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

Fields of papers citing papers by Harold S. Bernstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold S. Bernstein. 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 Harold S. Bernstein. The network helps show where Harold S. Bernstein may publish in the future.

Co-authorship network of co-authors of Harold S. Bernstein

This figure shows the co-authorship network connecting the top 25 collaborators of Harold S. Bernstein. A scholar is included among the top collaborators of Harold S. Bernstein 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 Harold S. Bernstein. Harold S. Bernstein 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.
Ullman, Julie C., Ryan A. Dick, Todd Minga, et al.. (2024). First‐in‐Human Evaluation of Safety, Pharmacokinetics and Muscle Glycogen Lowering of a Novel Glycogen Synthase 1 Inhibitor for the Treatment of Pompe Disease. Clinical Pharmacology & Therapeutics. 116(6). 1580–1592. 1 indexed citations
2.
Bachman, Eric, et al.. (2022). Phase 1 Study to Assess the Safety and Pharmacokinetics of Elexacaftor/Tezacaftor/Ivacaftor in Subjects Without Cystic Fibrosis With Moderate Hepatic Impairment. European Journal of Drug Metabolism and Pharmacokinetics. 47(6). 817–825. 13 indexed citations
3.
Lowenthal, Alexander, et al.. (2017). Plasma microvesicle analysis identifies microRNA 129-5p as a biomarker of heart failure in univentricular heart disease. PLoS ONE. 12(8). e0183624–e0183624. 22 indexed citations
4.
Ye, Jianqin, Andrew Boyle, Henry Shih, et al.. (2012). Sca-1+ Cardiosphere-Derived Cells Are Enriched for Isl1-Expressing Cardiac Precursors and Improve Cardiac Function after Myocardial Injury. PLoS ONE. 7(1). e30329–e30329. 65 indexed citations
5.
6.
Bernstein, Harold S. & William C. Hyun. (2012). Strategies for enrichment and selection of stem cell-derived tissue precursors. Stem Cell Research & Therapy. 3(3). 17–17. 5 indexed citations
7.
Oishi, Peter, et al.. (2011). Myo-mechanical Analysis of Isolated Skeletal Muscle. Journal of Visualized Experiments. 22 indexed citations
8.
Oishi, Peter, et al.. (2011). Myo-mechanical Analysis of Isolated Skeletal Muscle. Journal of Visualized Experiments. 4 indexed citations
9.
Ritner, Carissa, Frank W. King, Shirley Mihardja, et al.. (2011). An Engineered Cardiac Reporter Cell Line Identifies Human Embryonic Stem Cell-Derived Myocardial Precursors. PLoS ONE. 6(1). e16004–e16004. 34 indexed citations
10.
11.
Yabut, Odessa & Harold S. Bernstein. (2011). The promise of human embryonic stem cells in aging-associated diseases. Aging. 3(5). 494–508. 22 indexed citations
12.
Ryan, Devon, Magnus R. Dias‐da‐Silva, Tuck Wah Soong, et al.. (2010). Mutations in Potassium Channel Kir2.6 Cause Susceptibility to Thyrotoxic Hypokalemic Periodic Paralysis. Cell. 140(1). 88–98. 201 indexed citations
13.
King, Frank W., Carissa Ritner, Walter Liszewski, et al.. (2009). Subpopulations of Human Embryonic Stem Cells With Distinct Tissue-Specific Fates Can Be Selected From Pluripotent Cultures. Stem Cells and Development. 18(10). 1441–1450. 34 indexed citations
14.
Shah, Amee, Angela M. Feraco, Cynthia Harmon, et al.. (2009). Usefulness of Various Plasma Biomarkers for Diagnosis of Heart Failure in Children With Single Ventricle Physiology. The American Journal of Cardiology. 104(9). 1280–1284. 33 indexed citations
15.
Ivey, Kathryn N., Frank W. King, Ru-Fang Yeh, et al.. (2008). MicroRNA Regulation of Cell Lineages in Mouse and Human Embryonic Stem Cells. Cell stem cell. 2(3). 219–229. 478 indexed citations
16.
Epting, Conrad L., et al.. (2007). Stem cell antigen-1 regulates the tempo of muscle repair through effects on proliferation of α7 integrin-expressing myoblasts. Experimental Cell Research. 314(5). 1125–1135. 25 indexed citations
17.
Barker, Christopher S., et al.. (2004). E2F-1 Regulates the Expression of a Subset of Target Genes during Skeletal Myoblast Hypertrophy. Journal of Biological Chemistry. 279(42). 43625–43633. 15 indexed citations
18.
Chen, Ji, Harold S. Bernstein, Mian Chen, et al.. (1995). Tethered Ligand Library for Discovery of Peptide Agonists. Journal of Biological Chemistry. 270(40). 23398–23401. 22 indexed citations
19.
Bernstein, Harold S., Roy A. Filly, Judith D. Goldberg, & Mitchell S. Golbus. (1991). Prognosis of fetuses with a cystic hygroma. Prenatal Diagnosis. 11(6). 349–355. 48 indexed citations
20.
Heifetz, Milton D., et al.. (1989). Stereotactic Radiosurgery for Fractionated Radiation: A Proposal Applicable to Linear Accelerator and Proton Beam Programs. Stereotactic and Functional Neurosurgery. 53(3). 167–177. 10 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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