Frédéric Pio

1.8k total citations
35 papers, 1.5k citations indexed

About

Frédéric Pio is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Frédéric Pio has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Immunology and 3 papers in Plant Science. Recurrent topics in Frédéric Pio's work include Protein Structure and Dynamics (6 papers), Cell death mechanisms and regulation (6 papers) and interferon and immune responses (4 papers). Frédéric Pio is often cited by papers focused on Protein Structure and Dynamics (6 papers), Cell death mechanisms and regulation (6 papers) and interferon and immune responses (4 papers). Frédéric Pio collaborates with scholars based in Canada, United States and France. Frédéric Pio's co-authors include Adam Godzik, John C. Reed, Kathryn R. Ely, Chao‐Zhou Ni, Scott R. McKercher, Michael J. Klemsz, R. Kodandapani, Richard A. Maki, Zhi‐Liang Chu and Krzysztof Pawłowski and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Frédéric Pio

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Pio Canada 17 1.1k 586 144 120 103 35 1.5k
Francis X. Sullivan United States 14 1.2k 1.1× 433 0.7× 77 0.5× 185 1.5× 73 0.7× 15 1.7k
Susanna M. Rybak United States 27 1.1k 1.0× 559 1.0× 133 0.9× 200 1.7× 36 0.3× 54 1.8k
Henry Zebroski United States 19 834 0.8× 548 0.9× 97 0.7× 350 2.9× 82 0.8× 21 1.6k
Len C. Packman United Kingdom 20 1.0k 1.0× 235 0.4× 78 0.5× 169 1.4× 54 0.5× 23 1.6k
G. Jawahar Swaminathan United Kingdom 19 784 0.7× 294 0.5× 73 0.5× 105 0.9× 51 0.5× 29 1.2k
Elisabeth Thomassen United States 13 766 0.7× 495 0.8× 78 0.5× 91 0.8× 51 0.5× 14 1.2k
Jodie L. Abrahams Australia 21 1.5k 1.4× 408 0.7× 49 0.3× 114 0.9× 57 0.6× 32 1.9k
Narayanan B. Perumal United States 11 680 0.6× 652 1.1× 70 0.5× 201 1.7× 24 0.2× 16 1.4k
Seong-Eon Ryu South Korea 10 690 0.6× 263 0.4× 97 0.7× 73 0.6× 62 0.6× 15 1.2k
Jimmy A. Rotolo United States 19 696 0.6× 404 0.7× 95 0.7× 177 1.5× 286 2.8× 34 1.5k

Countries citing papers authored by Frédéric Pio

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Pio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Pio

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Pio. A scholar is included among the top collaborators of Frédéric Pio 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 Frédéric Pio. Frédéric Pio 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.
Shahneh, Ahmad Zare, et al.. (2021). Pro-and anti-inflammatory effects of glucocorticoid Fluticasone on ovarian and immune functions in commercial-aged laying hens. Scientific Reports. 11(1). 21603–21603. 2 indexed citations
2.
Shahneh, Ahmad Zare, et al.. (2021). The stimulation and inhibition of beta-2 adrenergic receptor on the inflammatory responses of ovary and immune system in the aged laying hens. BMC Veterinary Research. 17(1). 195–195. 6 indexed citations
3.
Mishra, Priyanka, et al.. (2019). Meta-analysis suggests evidence of novel stress-related pathway components in Orsay virus - Caenorhabditis elegans viral model. Scientific Reports. 9(1). 4399–4399. 5 indexed citations
4.
Baillie, David L., et al.. (2013). Bioinformatics Analysis Identify Novel OB Fold Protein Coding Genes in C. elegans. PLoS ONE. 8(4). e62204–e62204. 2 indexed citations
5.
Pio, Frédéric, et al.. (2010). Predicting protein complexes by data integration of different types of interactions. International Journal of Computational Biology and Drug Design. 3(1). 19–19. 5 indexed citations
6.
Dalal, Kush, et al.. (2008). RPA nucleic acid-binding properties of IFI16-HIN200. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1784(7-8). 1087–1097. 46 indexed citations
7.
Shen, Weiping, et al.. (2005). Target selection of soluble protein complexes for structural proteomics studies.. Proteome Science. 3(1). 3–3. 7 indexed citations
8.
Bogan, Michael J., George R. Agnes, Frédéric Pio, & Rosemary B. Cornell. (2005). Interdomain and Membrane Interactions of CTP:Phosphocholine Cytidylyltransferase Revealed via Limited Proteolysis and Mass Spectrometry. Journal of Biological Chemistry. 280(20). 19613–19624. 24 indexed citations
9.
Hsing, Michael, et al.. (2004). Interaction profile-based protein classification of death domain. BMC Bioinformatics. 5(1). 75–75. 1 indexed citations
10.
Stehlik, Christian, Hideki Hayashi, Frédéric Pio, Adam Godzik, & John C. Reed. (2003). CARD6 Is a Modulator of NF-κB Activation by Nod1- and Cardiak-mediated Pathways. Journal of Biological Chemistry. 278(34). 31941–31949. 59 indexed citations
11.
Damiano, Jason S., Christian Stehlik, Frédéric Pio, Adam Godzik, & John C. Reed. (2001). CLAN, a Novel Human CED-4-like Gene. Genomics. 75(1-3). 77–83. 65 indexed citations
12.
Pathan, Nazima, Hiroyuki Marusawa, Maryla Krajewska, et al.. (2001). TUCAN, an Antiapoptotic Caspase-associated Recruitment Domain Family Protein Overexpressed in Cancer. Journal of Biological Chemistry. 276(34). 32220–32229. 97 indexed citations
13.
Li, Weizhong, Frédéric Pio, Krzysztof Pawłowski, & Adam Godzik. (2000). Saturated BLAST: an automated multiple intermediate sequence search used to detect distant homology. Bioinformatics. 16(12). 1105–1110. 53 indexed citations
14.
Pio, Frédéric, Nuria Assa‐Munt, Juan Yguerabide, & Richard A. Maki. (1999). Mutants of ETS domain PU.1 and GGAA/T recognition: Free energies and kinetics. Protein Science. 8(10). 2098–2109. 21 indexed citations
15.
Lombardo, Angela, Xiaoping Dai, R. Kodandapani, et al.. (1996). Conformational flexibility and crystallization of tandemly linked type III modules of human fibronectin. Protein Science. 5(9). 1934–1938. 4 indexed citations
16.
Pio, Frédéric, R. Kodandapani, Chao‐Zhou Ni, et al.. (1996). New Insights on DNA Recognition by ets Proteins from the Crystal Structure of the PU.1 ETS Domain-DNA Complex. Journal of Biological Chemistry. 271(38). 23329–23337. 74 indexed citations
17.
Kodandapani, R., Frédéric Pio, Chao‐Zhou Ni, et al.. (1996). A new pattern for helix–turn–helix recognition revealed by the PU.l ETS–domain–DNA complex. Nature. 380(6573). 456–460. 269 indexed citations
18.
Lasters, Ignace, et al.. (1990). Basic design features of the parallel αβ barrel, a ubiquitous protein-folding motif. Biochemical Society Symposia. 57. 99–121. 4 indexed citations
19.
Lasters, Ignace, Shoshana J. Wodak, & Frédéric Pio. (1990). The design of idealized α/β‐barrels: Analysis of β‐sheet closure requirements. Proteins Structure Function and Bioinformatics. 7(3). 249–256. 13 indexed citations
20.

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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