Guosen Ye

1.8k total citations
7 papers, 307 citations indexed

About

Guosen Ye is a scholar working on Sensory Systems, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Guosen Ye has authored 7 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sensory Systems, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Molecular Biology. Recurrent topics in Guosen Ye's work include Ion Channels and Receptors (5 papers), Phytochemicals and Antioxidant Activities (1 paper) and Ion channel regulation and function (1 paper). Guosen Ye is often cited by papers focused on Ion Channels and Receptors (5 papers), Phytochemicals and Antioxidant Activities (1 paper) and Ion channel regulation and function (1 paper). Guosen Ye collaborates with scholars based in United States and Australia. Guosen Ye's co-authors include Mui Cheung, Kevin S. Thorneloe, Hilary S. Eidam, Robert N. Willette, Zhihong Yu, Heather B. Bradshaw, Melanie M. Kaelberer, Weifeng Song, Satyanarayana Achanta and Stephen Doran and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Guosen Ye

7 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guosen Ye United States 5 174 92 86 70 22 7 307
Sahar M. Jaffal Jordan 11 58 0.3× 41 0.4× 96 1.1× 75 1.1× 23 1.0× 31 322
Natascia Crispino United States 6 63 0.4× 112 1.2× 54 0.6× 89 1.3× 10 0.5× 8 330
An‐Hsuan Lin Taiwan 12 100 0.6× 130 1.4× 152 1.8× 81 1.2× 26 1.2× 19 424
Nadia Nasser United States 8 216 1.2× 44 0.5× 78 0.9× 122 1.7× 33 1.5× 9 366
Erin S. R. Lashinger United Kingdom 6 166 1.0× 15 0.2× 67 0.8× 55 0.8× 23 1.0× 6 315
Concepción Santiago‐Fernández Spain 11 62 0.4× 17 0.2× 83 1.0× 99 1.4× 9 0.4× 28 383
Lisa A. Leon United States 7 154 0.9× 17 0.2× 62 0.7× 69 1.0× 23 1.0× 9 318
Maria A. Fernandes United Kingdom 3 222 1.3× 25 0.3× 62 0.7× 95 1.4× 23 1.0× 4 336
Takeshi Masuyama Japan 13 73 0.4× 6 0.1× 79 0.9× 46 0.7× 24 1.1× 22 394
Marina Taus Italy 12 65 0.4× 14 0.2× 80 0.9× 91 1.3× 83 3.8× 32 471

Countries citing papers authored by Guosen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Guosen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guosen Ye

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

All Works

7 of 7 papers shown
1.
Corse, Emily, Krista Goodman, Guosen Ye, et al.. (2024). Abstract 5574: Degradation of PIP4K2C by novel bivalent functional degrader LRK-A induces tumor regression in CRC. Cancer Research. 84(6_Supplement). 5574–5574. 1 indexed citations
2.
Bihari, Shailesh, Melissa H. Costell, David J. Behm, et al.. (2023). Evaluation of GSK2789917-induced TRPV4 inhibition in animal models of fluid induced lung injury. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(5). 3461–3475. 2 indexed citations
3.
Patterson, Jaclyn R., Lamont R. Terrell, Carla A. Donatelli, et al.. (2020). Design and Optimization of an Acyclic Amine Series of TRPV4 Antagonists by Electronic Modulation of Hydrogen Bond Interactions. Journal of Medicinal Chemistry. 63(23). 14867–14884. 10 indexed citations
4.
Behm, David J., Hilary S. Eidam, Marlys Hammond, et al.. (2019). Discovery of GSK2798745: A Clinical Candidate for Inhibition of Transient Receptor Potential Vanilloid 4 (TRPV4). ACS Medicinal Chemistry Letters. 10(8). 1228–1233. 36 indexed citations
5.
Brnardic, Edward J., Guosen Ye, Carla A. Donatelli, et al.. (2018). Discovery of Pyrrolidine Sulfonamides as Selective and Orally Bioavailable Antagonists of Transient Receptor Potential Vanilloid-4 (TRPV4). Journal of Medicinal Chemistry. 61(21). 9738–9755. 20 indexed citations
6.
Cheung, Mui, Weike Bao, David J. Behm, et al.. (2017). Discovery of GSK2193874: An Orally Active, Potent, and Selective Blocker of Transient Receptor Potential Vanilloid 4. ACS Medicinal Chemistry Letters. 8(5). 549–554. 69 indexed citations
7.
Balakrishna, Shrilatha, Weifeng Song, Satyanarayana Achanta, et al.. (2014). TRPV4 inhibition counteracts edema and inflammation and improves pulmonary function and oxygen saturation in chemically induced acute lung injury. American Journal of Physiology-Lung Cellular and Molecular Physiology. 307(2). L158–L172. 169 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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