Sanjiv Shah

1.6k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Sanjiv Shah is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Sanjiv Shah has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Physiology. Recurrent topics in Sanjiv Shah's work include Alzheimer's disease research and treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Sanjiv Shah is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Sanjiv Shah collaborates with scholars based in United States, Sweden and Japan. Sanjiv Shah's co-authors include Gang Yu, Cong Yu, Hongqiao Li, Yi-Heng Hao, Weiping Han, Thomas C. Südhof, Charles E. Dann, Quincey LaPlant, Katsuhiko Tabuchi and Haydn L. Ball and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sanjiv Shah

16 papers receiving 992 citations

Hit Papers

Nicastrin Functions as a γ-Secretase-Substrate Receptor 2005 2026 2012 2019 2005 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nicastrin Functions as a γ-Secretase-Substrate Receptor
    2005 352 citations Sanjiv Shah, Katsuhiko Tabuchi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjiv Shah United States 12 652 591 247 201 117 16 1.0k
Satoko Osawa Japan 15 550 0.8× 630 1.1× 203 0.8× 169 0.8× 134 1.1× 18 976
Yuriko Tachida Japan 15 494 0.8× 654 1.1× 211 0.9× 143 0.7× 98 0.8× 24 1.0k
Krzysztof Paliga Germany 13 982 1.5× 784 1.3× 229 0.9× 308 1.5× 145 1.2× 17 1.7k
Lauren Herl United States 10 540 0.8× 346 0.6× 107 0.4× 191 1.0× 104 0.9× 10 747
Helena Karlström Sweden 19 396 0.6× 757 1.3× 119 0.5× 145 0.7× 40 0.3× 37 1.2k
Sebastian Hogl Germany 11 303 0.5× 347 0.6× 155 0.6× 80 0.4× 67 0.6× 14 784
Tim Dejaegere Belgium 5 311 0.5× 705 1.2× 115 0.5× 80 0.4× 57 0.5× 6 932
Ritsuko Oka Japan 11 381 0.6× 534 0.9× 110 0.4× 130 0.6× 92 0.8× 17 781
Masanori Tomioka Japan 7 213 0.3× 462 0.8× 203 0.8× 103 0.5× 70 0.6× 8 737
Claire L. Standen United Kingdom 15 429 0.7× 540 0.9× 269 1.1× 89 0.4× 37 0.3× 15 846

Countries citing papers authored by Sanjiv Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sanjiv Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjiv Shah

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

All Works

16 of 16 papers shown
1.
Fradera, Xavier, Qiaolin Deng, Solomon D. Kattar, et al.. (2021). Discovery of a new series of PI3K-δ inhibitors from Virtual Screening. Bioorganic & Medicinal Chemistry Letters. 42. 128046–128046. 2 indexed citations
2.
Methot, Joey L., Matthew Christopher, Hua Zhou, et al.. (2020). Optimization of Versatile Oxindoles as Selective PI3Kδ Inhibitors. ACS Medicinal Chemistry Letters. 11(12). 2461–2469. 11 indexed citations
3.
McGowan, Meredeth A., Matthew Christopher, Xavier Fradera, et al.. (2019). Discovery and optimization of heteroaryl piperazines as potent and selective PI3Kδ inhibitors. Bioorganic & Medicinal Chemistry Letters. 30(1). 126715–126715. 11 indexed citations
4.
Fradera, Xavier, Joey L. Methot, Matthew Christopher, et al.. (2019). Design of selective PI3Kδ inhibitors using an iterative scaffold-hopping workflow. Bioorganic & Medicinal Chemistry Letters. 29(18). 2575–2580. 15 indexed citations
5.
McLeod, Robbie L., Dapeng Chen, Antonio Cabal, et al.. (2019). Characterizing Pharmacokinetic–Pharmacodynamic Relationships and Efficacy of PI3Kδ Inhibitors in Respiratory Models of TH2 and TH1 Inflammation. Journal of Pharmacology and Experimental Therapeutics. 369(2). 223–233. 4 indexed citations
6.
Guo, Jane, Laura Engstrom, Hyun‐Hee Lee, et al.. (2017). A human tissue-based functional assay platform to evaluate the immune function impact of small molecule inhibitors that target the immune system. PLoS ONE. 12(7). e0180870–e0180870. 2 indexed citations
7.
Fischer, Christian, Susan L. Zultanski, Hua Zhou, et al.. (2012). Triazoloamides as potent γ-secretase modulators with reduced hERG liability. Bioorganic & Medicinal Chemistry Letters. 22(9). 3140–3146. 13 indexed citations
8.
Sephton, Chantelle F., Daniel R. Dries, Bing Wang, et al.. (2011). γ-Secretase-regulated Proteolysis of the Notch Receptor by Mitochondrial Intermediate Peptidase. Journal of Biological Chemistry. 286(31). 27447–27453. 12 indexed citations
9.
Fischer, Christian, Sanjiv Shah, Bethany Hughes, et al.. (2010). Quinazolinones as γ-secretase modulators. Bioorganic & Medicinal Chemistry Letters. 21(2). 773–776. 13 indexed citations
10.
Rivkin, Alexey, Chaomin Li, Solomon D. Kattar, et al.. (2009). Piperazinyl pyrimidine derivatives as potent γ-secretase modulators. Bioorganic & Medicinal Chemistry Letters. 20(3). 1269–1271. 33 indexed citations
11.
Dries, Daniel R., et al.. (2009). Glu-333 of Nicastrin Directly Participates in γ-Secretase Activity. Journal of Biological Chemistry. 284(43). 29714–29724. 53 indexed citations
12.
Shah, Sanjiv, Katsuhiko Tabuchi, Yi-Heng Hao, et al.. (2005). Nicastrin Functions as a γ-Secretase-Substrate Receptor. Cell. 122(3). 435–447. 352 indexed citations breakdown →
13.
Sterling, Kenneth, et al.. (2004). Cystic fibrosis transmembrane conductance regulator in human and mouse red blood cell membranes and its interaction with ecto‐apyrase. Journal of Cellular Biochemistry. 91(6). 1174–1182. 21 indexed citations
14.
Shah, Sanjiv, Cong Yu, W. Christian Wigley, et al.. (2004). A Conserved GXXXG Motif in APH-1 Is Critical for Assembly and Activity of the γ-Secretase Complex. Journal of Biological Chemistry. 279(6). 4144–4152. 90 indexed citations
15.
Wang, Hong, Hongqiao Li, Sanjiv Shah, et al.. (2003). PEN-2 and APH-1 Coordinately Regulate Proteolytic Processing of Presenilin 1. Journal of Biological Chemistry. 278(10). 7850–7854. 193 indexed citations
16.
Shah, Sanjiv, et al.. (2002). Mammalian APH-1 Interacts with Presenilin and Nicastrin and Is Required for Intramembrane Proteolysis of Amyloid-β Precursor Protein and Notch. Journal of Biological Chemistry. 277(47). 45013–45019. 180 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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