Andrew P. Capaldi

2.3k total citations
31 papers, 1.5k citations indexed

About

Andrew P. Capaldi is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Andrew P. Capaldi has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Materials Chemistry. Recurrent topics in Andrew P. Capaldi's work include Fungal and yeast genetics research (12 papers), Protein Structure and Dynamics (9 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Andrew P. Capaldi is often cited by papers focused on Fungal and yeast genetics research (12 papers), Protein Structure and Dynamics (9 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Andrew P. Capaldi collaborates with scholars based in United States, United Kingdom and Italy. Andrew P. Capaldi's co-authors include Sheena E. Radford, Colin Kleanthous, Xiangxia Luo, Neil Ferguson, Richard James, Claire T. Friel, Heinrich Röder, M.C.R. Shastry, Nir Friedman and Naomi Habib and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

In The Last Decade

Andrew P. Capaldi

29 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew P. Capaldi United States 17 1.4k 556 227 172 102 31 1.5k
Kouta Mayanagi Japan 25 1.2k 0.9× 192 0.3× 176 0.8× 360 2.1× 90 0.9× 43 1.4k
Y. Devedjiev United States 20 849 0.6× 273 0.5× 405 1.8× 184 1.1× 60 0.6× 29 1.3k
Can Kayatekin United States 15 1.2k 0.8× 242 0.4× 215 0.9× 79 0.5× 70 0.7× 23 1.5k
Yugong Cheng United States 8 1.4k 1.0× 472 0.8× 182 0.8× 105 0.6× 77 0.8× 9 1.7k
Lisa D. Cabrita United Kingdom 28 1.6k 1.1× 325 0.6× 220 1.0× 285 1.7× 37 0.4× 57 2.1k
David Balchin Germany 11 1.2k 0.9× 272 0.5× 329 1.4× 108 0.6× 46 0.5× 17 1.5k
Thomas J. Magliery United States 22 1.7k 1.2× 255 0.5× 189 0.8× 326 1.9× 105 1.0× 51 2.1k
Gabriela C. Pérez-Alvarado United States 16 1.4k 1.0× 277 0.5× 156 0.7× 132 0.8× 76 0.7× 17 1.8k
Natalie Thompson Netherlands 15 1.8k 1.3× 133 0.2× 239 1.1× 142 0.8× 199 2.0× 20 2.3k
Irene Nooren Netherlands 6 1.1k 0.8× 324 0.6× 156 0.7× 91 0.5× 36 0.4× 9 1.3k

Countries citing papers authored by Andrew P. Capaldi

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Capaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Capaldi. 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 Andrew P. Capaldi. The network helps show where Andrew P. Capaldi may publish in the future.

Co-authorship network of co-authors of Andrew P. Capaldi

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

All Works

20 of 20 papers shown
1.
Padilla, Cristina M., et al.. (2025). Multilayered regulation of TORC1 signaling by Ait1, Gcn2, and SEAC/GATOR during nitrogen limitation and starvation. Nature Communications. 17(1). 220–220.
3.
Wallace, Ryan, et al.. (2022). Ait1 regulates TORC1 signaling and localization in budding yeast. eLife. 11. 7 indexed citations
4.
5.
Chong, Lucy S., et al.. (2019). The InsP7 phosphatase Siw14 regulates inositol pyrophosphate levels to control localization of the general stress response transcription factor Msn2. Journal of Biological Chemistry. 295(7). 2043–2056. 14 indexed citations
6.
Marlowe, Timothy, et al.. (2019). Development of a High-Throughput Fluorescence Polarization Assay to Detect Inhibitors of the FAK–Paxillin Interaction. SLAS DISCOVERY. 25(1). 21–32. 9 indexed citations
7.
Wallace, Ryan, et al.. (2018). Multilayered regulation of TORC1-body formation in budding yeast. Molecular Biology of the Cell. 30(3). 400–410. 15 indexed citations
8.
Luo, Xiangxia, et al.. (2014). State Transitions in the TORC1 Signaling Pathway and Information Processing in Saccharomyces cerevisiae. Genetics. 198(2). 773–786. 106 indexed citations
9.
Worley, Jeremy, Xiangxia Luo, & Andrew P. Capaldi. (2013). Inositol Pyrophosphates Regulate Cell Growth and the Environmental Stress Response by Activating the HDAC Rpd3L. Cell Reports. 3(5). 1476–1482. 67 indexed citations
10.
Capaldi, Andrew P.. (2010). Analysis of Gene Function Using DNA Microarrays. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 3–17. 6 indexed citations
11.
Capaldi, Andrew P., Tommy Kaplan, Ying Liu, et al.. (2008). Structure and function of a transcriptional network activated by the MAPK Hog1. Nature Genetics. 40(11). 1300–1306. 179 indexed citations
12.
Capaldi, Andrew P., et al.. (2004). Trapping the On-pathway Folding Intermediate of Im7 at Equilibrium. Journal of Molecular Biology. 341(1). 215–226. 41 indexed citations
13.
Gorski, Stanislaw A., Cécile S. Le Duff, Andrew P. Capaldi, et al.. (2004). Equilibrium Hydrogen Exchange Reveals Extensive Hydrogen Bonded Secondary Structure in the On-pathway Intermediate of Im7. Journal of Molecular Biology. 337(1). 183–193. 30 indexed citations
14.
Friel, Claire T., Andrew P. Capaldi, & Sheena E. Radford. (2003). Structural Analysis of the Rate-limiting Transition States in the Folding of Im7 and Im9: Similarities and Differences in the Folding of Homologous Proteins. Journal of Molecular Biology. 326(1). 293–305. 119 indexed citations
15.
Capaldi, Andrew P., Colin Kleanthous, & Sheena E. Radford. (2002). Im7 folding mechanism: misfolding on a path to the native state. Nature Structural Biology. 9(3). 209–16. 223 indexed citations
16.
Ferguson, Neil, Wei Li, Andrew P. Capaldi, Colin Kleanthous, & Sheena E. Radford. (2001). Using chimeric immunity proteins to explore the energy landscape for α-helical protein folding. Journal of Molecular Biology. 307(1). 393–405. 27 indexed citations
17.
Gorski, Stanislaw A., Andrew P. Capaldi, Colin Kleanthous, & Sheena E. Radford. (2001). Acidic conditions stabilise intermediates populated during the folding of Im7 and Im9 1 1Edited by C. R. Matthews. Journal of Molecular Biology. 312(4). 849–863. 60 indexed citations
18.
Ferguson, Neil, Andrew P. Capaldi, Richard James, Colin Kleanthous, & Sheena E. Radford. (1999). Rapid folding with and without populated intermediates in the homologous four-helix proteins Im7 and Im9 1 1Edited by A. R. Fersht. Journal of Molecular Biology. 286(5). 1597–1608. 211 indexed citations
19.
Capaldi, Andrew P., Stuart J. Ferguson, & Sheena E. Radford. (1999). The greek key protein apo-pseudoazurin folds through an obligate on-pathway intermediate 1 1Edited by A. R. Fersht. Journal of Molecular Biology. 286(5). 1621–1632. 42 indexed citations
20.
Capaldi, Andrew P. & Sheena E. Radford. (1998). Kinetic studies of β-sheet protein folding. Current Opinion in Structural Biology. 8(1). 86–92. 55 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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