Payam Shahi

1.4k total citations
17 papers, 1.0k citations indexed

About

Payam Shahi is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Payam Shahi has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Oncology. Recurrent topics in Payam Shahi's work include Wnt/β-catenin signaling in development and cancer (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Cancer-related gene regulation (4 papers). Payam Shahi is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Cancer-related gene regulation (4 papers). Payam Shahi collaborates with scholars based in United States, Taiwan and Japan. Payam Shahi's co-authors include Adam R. Abate, Zena Werb, Samuel Kim, Zev J. Gartner, Jonathan Chou, John Haliburton, Iain C. Clark, David M. Spencer, Jesse Q. Zhang and Russell H. Cole and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Payam Shahi

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Payam Shahi United States 16 655 337 228 183 107 17 1.0k
Dennis J. Eastburn United States 18 800 1.2× 372 1.1× 129 0.6× 152 0.8× 148 1.4× 26 1.4k
Moshe Giladi United States 19 456 0.7× 674 2.0× 115 0.5× 248 1.4× 67 0.6× 121 1.6k
Anna Shteingauz Israel 13 415 0.6× 261 0.8× 93 0.4× 147 0.8× 17 0.2× 40 969
Shaohe Wang United States 20 799 1.2× 98 0.3× 371 1.6× 144 0.8× 32 0.3× 44 1.6k
Ying Bena Lim Singapore 11 308 0.5× 259 0.8× 138 0.6× 221 1.2× 23 0.2× 14 830
Sophia Adamia United States 21 692 1.1× 239 0.7× 135 0.6× 251 1.4× 85 0.8× 69 1.5k
Silvia Catuogno Italy 22 1.3k 2.0× 277 0.8× 439 1.9× 120 0.7× 38 0.4× 45 1.6k
Silva Krause United States 13 262 0.4× 372 1.1× 145 0.6× 358 2.0× 29 0.3× 19 790
Burak Dura United States 7 311 0.5× 310 0.9× 110 0.5× 199 1.1× 47 0.4× 9 702
Guilhem Mascré Belgium 6 703 1.1× 72 0.2× 196 0.9× 580 3.2× 62 0.6× 7 1.5k

Countries citing papers authored by Payam Shahi

Since Specialization
Citations

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

Fields of papers citing papers by Payam Shahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Shahi

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

All Works

17 of 17 papers shown
1.
Janesick, Amanda, et al.. (2024). 1386 Characterization of tumor heterogeneity and the tumor microenvironment in human cancer tissues using the 5K xenium prime in situ platform. Regular and Young Investigator Award Abstracts. A1549–A1549. 1 indexed citations
2.
Cole, Russell H., Shi‐Yang Tang, Christian Siltanen, et al.. (2017). Printed droplet microfluidics for on demand dispensing of picoliter droplets and cells. Proceedings of the National Academy of Sciences. 114(33). 8728–8733. 158 indexed citations
3.
Kim, Samuel, Iain C. Clark, Payam Shahi, & Adam R. Abate. (2017). Single-Cell RT-PCR in Microfluidic Droplets with Integrated Chemical Lysis. Analytical Chemistry. 90(2). 1273–1279. 95 indexed citations
4.
Shahi, Payam, Samuel Kim, John Haliburton, Zev J. Gartner, & Adam R. Abate. (2017). Abseq: Ultrahigh-throughput single cell protein profiling with droplet microfluidic barcoding. Scientific Reports. 7(1). 44447–44447. 192 indexed citations
5.
Shahi, Payam, Chih‐Yang Wang, Jonathan Chou, et al.. (2017). GATA3 targets semaphorin 3B in mammary epithelial cells to suppress breast cancer progression and metastasis. Oncogene. 36(40). 5567–5575. 42 indexed citations
6.
Shahi, Payam, Chih‐Yang Wang, Devon A. Lawson, et al.. (2017). ZNF50 3/ Zpo2 drives aggressive breast cancer progression by down-regulation of GATA3 expression. Proceedings of the National Academy of Sciences. 114(12). 3169–3174. 34 indexed citations
7.
Karbaschi, Mohsen, Payam Shahi, & Adam R. Abate. (2017). Rapid, chemical-free breaking of microfluidic emulsions with a hand-held antistatic gun. Biomicrofluidics. 11(4). 44107–44107. 33 indexed citations
8.
Wang, Chih‐Yang, Payam Shahi, John Huang, et al.. (2016). Systematic analysis of the achaete-scute complex-like gene signature in clinical cancer patients. Molecular and Clinical Oncology. 6(1). 7–18. 24 indexed citations
9.
Shahi, Payam, et al.. (2014). The Transcriptional Repressor ZNF503/Zeppo2 Promotes Mammary Epithelial Cell Proliferation and Enhances Cell Invasion. Journal of Biological Chemistry. 290(6). 3803–3813. 27 indexed citations
10.
Carstens, Julienne L., Payam Shahi, Chad J. Creighton, et al.. (2013). FGFR1–WNT–TGF-β Signaling in Prostate Cancer Mouse Models Recapitulates Human Reactive Stroma. Cancer Research. 74(2). 609–620. 35 indexed citations
11.
Kessenbrock, Kai, Gerrit J.P. Dijkgraaf, Devon A. Lawson, et al.. (2013). A Role for Matrix Metalloproteinases in Regulating Mammary Stem Cell Function via the Wnt Signaling Pathway. Cell stem cell. 13(3). 300–313. 103 indexed citations
12.
Chou, Jonathan, Payam Shahi, & Zena Werb. (2013). microRNA-mediated regulation of the tumor microenvironment. Cell Cycle. 12(20). 3262–3271. 112 indexed citations
13.
Valdez, Joseph M., Li Zhang, Qingtai Su, et al.. (2012). Notch and TGFβ Form a Reciprocal Positive Regulatory Loop that Suppresses Murine Prostate Basal Stem/Progenitor Cell Activity. Cell stem cell. 11(5). 676–688. 67 indexed citations
14.
Shahi, Payam, Dongsu Park, Adam C. Pond, et al.. (2012). Activation of Wnt Signaling by Chemically Induced Dimerization of LRP5 Disrupts Cellular Homeostasis. PLoS ONE. 7(1). e30814–e30814. 16 indexed citations
15.
Chiou, Shin‐Heng, Payam Shahi, Ryan T. Wagner, et al.. (2011). The E3 ligase c‐Cbl regulates dendritic cell activation. EMBO Reports. 12(9). 971–979. 16 indexed citations
16.
Shahi, Payam, Mamatha Seethammagari, Joseph M. Valdez, Xin Li, & David M. Spencer. (2011). Wnt and Notch Pathways Have Interrelated Opposing Roles on Prostate Progenitor Cell Proliferation and Differentiation. Stem Cells. 29(4). 678–688. 41 indexed citations
17.
Bhaya, Devaki, Akiko Takahashi, Payam Shahi, & Arthur Grossman. (2001). Novel Motility Mutants of Synechocystis Strain PCC 6803 Generated by In Vitro Transposon Mutagenesis. Journal of Bacteriology. 183(20). 6140–6143. 53 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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