Shuchi Guo

762 total citations
9 papers, 340 citations indexed

About

Shuchi Guo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Shuchi Guo has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pharmacology. Recurrent topics in Shuchi Guo's work include Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (2 papers) and Mitochondrial Function and Pathology (2 papers). Shuchi Guo is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (2 papers) and Mitochondrial Function and Pathology (2 papers). Shuchi Guo collaborates with scholars based in United States, Russia and Canada. Shuchi Guo's co-authors include Sudarsan Rajan, Joseph Y. Cheung, Nicholas E. Hoffman, Muniswamy Madesh, Santhanam Shanmughapriya, Douglas G. Tilley, Walter J. Koch, Laurel A. Grisanti, Harish C. Chandramoorthy and John W. Elrod and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Molecular Biology of the Cell.

In The Last Decade

Shuchi Guo

9 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuchi Guo United States 7 251 54 46 33 28 9 340
Hsiao‐Ming Chao Taiwan 14 269 1.1× 56 1.0× 51 1.1× 17 0.5× 15 0.5× 28 581
Kouhei Hashizume Japan 11 378 1.5× 15 0.3× 63 1.4× 37 1.1× 51 1.8× 20 727
Ewa Kilańczyk Poland 13 216 0.9× 24 0.4× 40 0.9× 54 1.6× 10 0.4× 23 399
Shingo Nemoto Japan 10 179 0.7× 26 0.5× 94 2.0× 18 0.5× 35 1.3× 21 475
Xinzhi Zhou United Kingdom 14 318 1.3× 25 0.5× 31 0.7× 46 1.4× 17 0.6× 22 480
Jianyan Hu China 14 265 1.1× 35 0.6× 36 0.8× 31 0.9× 26 0.9× 24 469
Reiko Yamagishi Japan 15 223 0.9× 22 0.4× 42 0.9× 42 1.3× 11 0.4× 30 499
Jicui Chen China 12 122 0.5× 43 0.8× 98 2.1× 18 0.5× 9 0.3× 13 363
Sho-Ichi Yamagishi Japan 8 143 0.6× 22 0.4× 42 0.9× 140 4.2× 50 1.8× 14 377
Liora Braiman Israel 13 421 1.7× 40 0.7× 125 2.7× 77 2.3× 9 0.3× 15 540

Countries citing papers authored by Shuchi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shuchi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuchi Guo

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

All Works

9 of 9 papers shown
1.
Niu, Jingwen, et al.. (2023). Palmitoylation-dependent control of JAK1 kinase signaling governs responses to neuropoietic cytokines and survival in DRG neurons. Journal of Biological Chemistry. 299(8). 104965–104965. 10 indexed citations
2.
Guo, Shuchi, Rhonda L. Carter, Toby P. Thomas, et al.. (2021). Epidermal growth factor receptor-dependent maintenance of cardiac contractility. Cardiovascular Research. 118(5). 1276–1288. 14 indexed citations
3.
Guo, Shuchi, et al.. (2020). Epidermal growth factor receptor association with β1-adrenergic receptor is mediated via its juxtamembrane domain. Cellular Signalling. 78. 109846–109846. 3 indexed citations
4.
Guo, Shuchi, Rhonda L. Carter, Laurel A. Grisanti, Walter J. Koch, & Douglas G. Tilley. (2017). Impact of paroxetine on proximal β-adrenergic receptor signaling. Cellular Signalling. 38. 127–133. 18 indexed citations
5.
Grisanti, Laurel A., Shuchi Guo, & Douglas G. Tilley. (2017). Cardiac GPCR–Mediated EGFR Transactivation: Impact and Therapeutic Implications. Journal of Cardiovascular Pharmacology. 70(1). 3–9. 27 indexed citations
6.
Guo, Shuchi, et al.. (2017). Impact of Paroxetine on Proximal β‐adrenergic Receptor Signaling. The FASEB Journal. 31(S1). 1 indexed citations
7.
Shanmughapriya, Santhanam, Sudarsan Rajan, Nicholas E. Hoffman, et al.. (2015). Ca 2+ signals regulate mitochondrial metabolism by stimulating CREB-mediated expression of the mitochondrial Ca 2+ uniporter gene MCU. Science Signaling. 8(366). ra23–ra23. 93 indexed citations
8.
Hoffman, Nicholas E., Harish C. Chandramoorthy, Santhanam Shanmughapriya, et al.. (2014). SLC25A23 augments mitochondrial Ca2+uptake, interacts with MCU, and induces oxidative stress–mediated cell death. Molecular Biology of the Cell. 25(6). 936–947. 123 indexed citations
9.
Baida, Gleb, Pankaj Bhalla, К. I. Kirsanov, et al.. (2014). REDD 1 functions at the crossroads between the therapeutic and adverse effects of topical glucocorticoids. EMBO Molecular Medicine. 7(1). 42–58. 51 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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