Gopi Shah

2.1k total citations
12 papers, 1.3k citations indexed

About

Gopi Shah is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Gopi Shah has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cell Biology. Recurrent topics in Gopi Shah's work include Zebrafish Biomedical Research Applications (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cardiovascular Effects of Exercise (3 papers). Gopi Shah is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cardiovascular Effects of Exercise (3 papers). Gopi Shah collaborates with scholars based in United States, Germany and Spain. Gopi Shah's co-authors include Jan Huisken, K Becker, Nicholas M. P. King, Sunshine Lahmers, Sherif F. Nagueh, Guillermo Torre‐Amione, Henk Granzier, Siegfried Labeit, Christian Witt and Yiming Wu and has published in prestigious journals such as New England Journal of Medicine, Cell and Circulation.

In The Last Decade

Gopi Shah

12 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopi Shah United States 9 764 606 205 152 134 12 1.3k
Sven Reischauer Germany 14 580 0.8× 200 0.3× 81 0.4× 106 0.7× 316 2.4× 21 928
Katja Gehmlich United Kingdom 22 732 1.0× 1.1k 1.8× 94 0.5× 21 0.1× 157 1.2× 55 1.5k
Roberta B. Nowak United States 24 847 1.1× 276 0.5× 59 0.3× 35 0.2× 429 3.2× 43 1.3k
Bianca Hogers Netherlands 18 917 1.2× 319 0.5× 419 2.0× 25 0.2× 74 0.6× 19 1.3k
Norman Hu United States 19 1.1k 1.4× 470 0.8× 205 1.0× 23 0.2× 235 1.8× 33 1.4k
T. Mesud Yelbuz Germany 16 512 0.7× 288 0.5× 211 1.0× 93 0.6× 44 0.3× 36 991
Mauro W. Costa Australia 19 1.2k 1.6× 395 0.7× 256 1.2× 34 0.2× 56 0.4× 38 1.4k
Richard C. V. Tyser United Kingdom 10 1.2k 1.5× 97 0.2× 124 0.6× 129 0.8× 126 0.9× 17 1.4k
Mary E. Dickinson United States 8 534 0.7× 76 0.1× 104 0.5× 213 1.4× 222 1.7× 8 824

Countries citing papers authored by Gopi Shah

Since Specialization
Citations

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

Fields of papers citing papers by Gopi Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopi Shah

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

All Works

12 of 12 papers shown
1.
Shah, Gopi, Benjamin Schmid, Anna Reade, et al.. (2019). Multi-scale imaging and analysis identify pan-embryo cell dynamics of germlayer formation in zebrafish. Nature Communications. 10(1). 5753–5753. 34 indexed citations
2.
Fulton, Timothy, Maria Florescu, Gopi Shah, et al.. (2018). Neuromesodermal progenitors are a conserved source of spinal cord with divergent growth dynamics. Development. 145(21). 51 indexed citations
3.
Shah, Gopi, et al.. (2018). Dynamic and non-contact 3D sample rotation for microscopy. Nature Communications. 9(1). 5025–5025. 20 indexed citations
4.
Mehmood, Azhar, et al.. (2018). Computational design of small interfering RNAs and small hairpin RNAs to silence mutated P53 gene expressions. Informatics in Medicine Unlocked. 12. 1–5. 2 indexed citations
5.
Shah, Gopi, et al.. (2016). Biology-inspired visualization of morphogenetic motion in the zebrafish endoderm. 126. 925–929. 1 indexed citations
6.
Junker, Jan Philipp, Emily S. Noël, Victor Guryev, et al.. (2014). Genome-wide RNA Tomography in the Zebrafish Embryo. Cell. 159(3). 662–675. 226 indexed citations
7.
Schmid, Benjamin, Gopi Shah, Nico Scherf, et al.. (2013). High-speed panoramic light-sheet microscopy reveals global endodermal cell dynamics. Nature Communications. 4(1). 2207–2207. 127 indexed citations
8.
Win, Htut K., Gopi Shah, Juan Carlos Plana, et al.. (2005). Percent change in B-type natriuretic peptide levels during treadmill exercise as a screening test for exercise-induced myocardial ischemia. American Heart Journal. 150(4). 695–700. 32 indexed citations
9.
Nagueh, Sherif F., Gopi Shah, Yiming Wu, et al.. (2004). Altered Titin Expression, Myocardial Stiffness, and Left Ventricular Function in Patients With Dilated Cardiomyopathy. Circulation. 110(2). 155–162. 395 indexed citations
10.
Shah, Gopi, Ramón Brugada, Óscar González‐Lorenzo, et al.. (2002). The cloning, genomic organization and tissue expression profile of the human DLG5 gene. BMC Genomics. 3(1). 6–6. 24 indexed citations
11.
Gollob, Michael H., Martin S. Green, Anthony Tang, et al.. (2001). Identification of a Gene Responsible for Familial Wolff–Parkinson–White Syndrome. New England Journal of Medicine. 344(24). 1823–1831. 417 indexed citations
12.
Shah, Gopi & Robert J. Roberts. (2000). Molecular genetics of card iomyopathies. Journal of Nuclear Cardiology. 7(2). 159–170. 5 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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