Glenn I. Fishman

15.8k total citations · 3 hit papers
136 papers, 11.1k citations indexed

About

Glenn I. Fishman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Glenn I. Fishman has authored 136 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 81 papers in Cardiology and Cardiovascular Medicine and 12 papers in Genetics. Recurrent topics in Glenn I. Fishman's work include Cardiac electrophysiology and arrhythmias (59 papers), Connexins and lens biology (40 papers) and Ion channel regulation and function (38 papers). Glenn I. Fishman is often cited by papers focused on Cardiac electrophysiology and arrhythmias (59 papers), Connexins and lens biology (40 papers) and Ion channel regulation and function (38 papers). Glenn I. Fishman collaborates with scholars based in United States, Canada and Netherlands. Glenn I. Fishman's co-authors include David C. Spray, Gregory E. Morley, David E. Gutstein, Alonso P. Moreno, Marian B. Meyers, Leslie A. Leinwand, Dhananjay Vaidya, Zhihui Yü, Fangyu Liu and Judith S. Hochman and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Glenn I. Fishman

134 papers receiving 10.9k citations

Hit Papers

Renin–Angiotensin–A... 2001 2026 2009 2017 2020 2020 2001 200 400 600

Peers

Glenn I. Fishman
Michael A. Crackower United States
Roger E. Breitbart United States
Michael J. Donovan United States
Andrew Murphy United States
Kirk U. Knowlton United States
Robin J. Leach United States
Michael A. Crackower United States
Glenn I. Fishman
Citations per year, relative to Glenn I. Fishman Glenn I. Fishman (= 1×) peers Michael A. Crackower

Countries citing papers authored by Glenn I. Fishman

Since Specialization
Citations

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

Fields of papers citing papers by Glenn I. Fishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn I. Fishman. 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 Glenn I. Fishman. The network helps show where Glenn I. Fishman may publish in the future.

Co-authorship network of co-authors of Glenn I. Fishman

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn I. Fishman. A scholar is included among the top collaborators of Glenn I. Fishman 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 Glenn I. Fishman. Glenn I. Fishman 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.
Patel, Nihir, Rafael Dariolli, Simon Ng, et al.. (2024). HRAS -Mutant Cardiomyocyte Model of Multifocal Atrial Tachycardia. Circulation Arrhythmia and Electrophysiology. 17(4). e012022–e012022. 2 indexed citations
2.
Shekhar, Akshay, Jayalakshmi Ramachandran, Alireza Khodadadi‐Jamayran, et al.. (2023). The transcription factor EBF1 non-cell-autonomously regulates cardiac growth and differentiation. Development. 150(21). 2 indexed citations
3.
Phoon, Colin K. L., Lior Zilberberg, Matthias C. Kugler, et al.. (2023). TGFβ-2 haploinsufficiency causes early death in mice with Marfan syndrome. Matrix Biology. 121. 41–55. 4 indexed citations
5.
Shekhar, Akshay, Orlando Aristizábal, Glenn I. Fishman, Colin K. L. Phoon, & Jeffrey A. Ketterling. (2020). Characterization of Vortex Flow in a Mouse Model of Ventricular Dyssynchrony by Plane-Wave Ultrasound Using Hexplex Processing. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(3). 538–548. 4 indexed citations
6.
Lillo, Mauricio A., J. Patrick Gonzalez, Qingshi Zhao, et al.. (2020). Prevention of connexin-43 remodeling protects against Duchenne muscular dystrophy cardiomyopathy. Journal of Clinical Investigation. 130(4). 1713–1727. 55 indexed citations
7.
Cappola, Anne Rentoumis, Akshay S. Desai, Marco Medici, et al.. (2019). Thyroid and Cardiovascular Disease: Research Agenda for Enhancing Knowledge, Prevention, and Treatment. Thyroid. 29(6). 760–777. 62 indexed citations
8.
Shekhar, Akshay, Xianming Lin, Bin Lin, et al.. (2018). ETV1 activates a rapid conduction transcriptional program in rodent and human cardiomyocytes. Scientific Reports. 8(1). 9944–9944. 24 indexed citations
9.
Iyer, Vivek, Danilo Roman‐Campos, Kevin J. Sampson, et al.. (2015). Purkinje Cells as Sources of Arrhythmias in Long QT Syndrome Type 3. Scientific Reports. 5(1). 13287–13287. 26 indexed citations
10.
Lin, Xianming, Heather A. O’Malley, Chunling Chen, et al.. (2014). Scn1b deletion leads to increased tetrodotoxin‐sensitive sodium current, altered intracellular calcium homeostasis and arrhythmias in murine hearts. The Journal of Physiology. 593(6). 1389–1407. 60 indexed citations
12.
Rentschler, Stacey, Jia Lu, Nataliya Petrenko, et al.. (2012). Myocardial Notch Signaling Reprograms Cardiomyocytes to a Conduction-Like Phenotype. Circulation. 126(9). 1058–1066. 71 indexed citations
13.
Remo, Benjamin, Jiaxiang Qu, Frank Volpicelli, et al.. (2011). Phosphatase-Resistant Gap Junctions Inhibit Pathological Remodeling and Prevent Arrhythmias. Circulation Research. 108(12). 1459–1466. 98 indexed citations
14.
Kalcheva, Nellie, Jiaxiang Qu, Luis I. García, et al.. (2007). Gap junction remodeling and cardiac arrhythmogenesis in a murine model of oculodentodigital dysplasia. Proceedings of the National Academy of Sciences. 104(51). 20512–20516. 105 indexed citations
15.
Wolf, Cordula M., Libin Wang, Ronny Alcalai, et al.. (2007). Lamin A/C haploinsufficiency causes dilated cardiomyopathy and apoptosis-triggered cardiac conduction system disease. Journal of Molecular and Cellular Cardiology. 44(2). 293–303. 129 indexed citations
16.
Ouvrard‐Pascaud, Antoine, Yannis Sainte–Marie, Jean‐Pierre Bénitah, et al.. (2005). Conditional Mineralocorticoid Receptor Expression in the Heart Leads to Life-Threatening Arrhythmias. Circulation. 111(23). 3025–3033. 214 indexed citations
17.
Myers, Dina C. & Glenn I. Fishman. (2003). Molecular and Functional Maturation of the Murine Cardiac Conduction System. Trends in Cardiovascular Medicine. 13(7). 289–295. 26 indexed citations
18.
Pennisi, David J., Stacey Rentschler, Robert G. Gourdie, Glenn I. Fishman, & Takashi Mikawa. (2002). Induction and patterning of the cardiac conduction system. The International Journal of Developmental Biology. 46(6). 765–775. 61 indexed citations
19.
Gutstein, David E., Gregory E. Morley, & Glenn I. Fishman. (2001). Conditional Gene Targeting of Connexin43: Exploring the Consequences of Gap Junction Remodeling in the Heart. Cell Communication & Adhesion. 8(4-6). 345–348. 31 indexed citations
20.
Fishman, Glenn I., et al.. (1991). The human connexin gene family of gap junction proteins: Distinct chromosomal locations but similar structures. Genomics. 10(1). 250–256. 96 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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