Jean-Yves Sgro

2.2k total citations
25 papers, 1.7k citations indexed

About

Jean-Yves Sgro is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Plant Science. According to data from OpenAlex, Jean-Yves Sgro has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Cardiology and Cardiovascular Medicine and 10 papers in Plant Science. Recurrent topics in Jean-Yves Sgro's work include Viral Infections and Immunology Research (11 papers), Plant Virus Research Studies (10 papers) and Animal Virus Infections Studies (9 papers). Jean-Yves Sgro is often cited by papers focused on Viral Infections and Immunology Research (11 papers), Plant Virus Research Studies (10 papers) and Animal Virus Infections Studies (9 papers). Jean-Yves Sgro collaborates with scholars based in United States, France and Slovakia. Jean-Yves Sgro's co-authors include Colin R. Parrish, M. Lisa Strassheim, Ann C. Palmenberg, Charles F. Aquadro, Hussni O. Mohammed, S. F. Chang, James F. Evermann, Wendy S. Weichert, John S. L. Parker and Karsten Hueffer and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Journal of Virology.

In The Last Decade

Jean-Yves Sgro

25 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Yves Sgro United States 21 979 935 908 306 285 25 1.7k
Jean‐François Cantaloube France 24 722 0.7× 320 0.3× 535 0.6× 130 0.4× 221 0.8× 53 1.5k
Pranav Danthi United States 23 1.2k 1.2× 722 0.8× 395 0.4× 578 1.9× 113 0.4× 54 1.8k
Yasmin Chaudhry United Kingdom 23 1.2k 1.2× 385 0.4× 694 0.8× 497 1.6× 197 0.7× 34 1.9k
Jacques Perrault United States 23 503 0.5× 448 0.5× 422 0.5× 357 1.2× 418 1.5× 44 1.8k
Judit J. Pénzes United States 13 476 0.5× 666 0.7× 528 0.6× 210 0.7× 100 0.4× 24 1.0k
Lisa O. Roberts United Kingdom 25 641 0.7× 228 0.2× 424 0.5× 700 2.3× 286 1.0× 39 1.6k
Teresa J. Broering United States 17 882 0.9× 492 0.5× 279 0.3× 317 1.0× 82 0.3× 22 1.5k
H. Kawamura Japan 19 594 0.6× 446 0.5× 535 0.6× 229 0.7× 88 0.3× 74 1.2k
Leslie A. Schiff United States 23 958 1.0× 761 0.8× 265 0.3× 437 1.4× 84 0.3× 31 1.5k
A K Banerjee United States 19 433 0.4× 441 0.5× 217 0.2× 328 1.1× 196 0.7× 24 1.2k

Countries citing papers authored by Jean-Yves Sgro

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Yves Sgro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Yves Sgro. 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 Jean-Yves Sgro. The network helps show where Jean-Yves Sgro may publish in the future.

Co-authorship network of co-authors of Jean-Yves Sgro

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Yves Sgro. A scholar is included among the top collaborators of Jean-Yves Sgro 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 Jean-Yves Sgro. Jean-Yves Sgro 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.
2.
Ashraf, Shamaila, et al.. (2013). Modeling of the human rhinovirus C capsid suggests possible causes for antiviral drug resistance. Virology. 448. 82–90. 20 indexed citations
3.
Meethal, Sivan Vadakkadath, et al.. (2006). Identification of a gonadotropin-releasing hormone receptor orthologue in Caenorhabditis elegans. BMC Evolutionary Biology. 6(1). 103–103. 34 indexed citations
4.
Hueffer, Karsten, et al.. (2003). The Natural Host Range Shift and Subsequent Evolution of Canine Parvovirus Resulted from Virus-Specific Binding to the Canine Transferrin Receptor. Journal of Virology. 77(3). 1718–1726. 204 indexed citations
5.
Lindenbach, Brett D., Jean-Yves Sgro, & Paul Ahlquist. (2002). Long-Distance Base Pairing in Flock House Virus RNA1 Regulates Subgenomic RNA3 Synthesis and RNA2 Replication. Journal of Virology. 76(8). 3905–3919. 77 indexed citations
6.
Pavio, Nicole, et al.. (2000). Expression of Mutated Poliovirus Receptors in Human Neuroblastoma Cells Persistently Infected with Poliovirus. Virology. 274(2). 331–342. 30 indexed citations
7.
Rowe, Cynthia L., et al.. (1998). Quasispecies Development by High Frequency RNA Recombination during MHV Persistence. Advances in experimental medicine and biology. 440. 759–765. 17 indexed citations
8.
Inoue‐Nagata, Alice K., Richard Kormelink, Jean-Yves Sgro, et al.. (1998). Molecular Characterization of Tomato Spotted Wilt Virus Defective Interfering RNAs and Detection of Truncated L Proteins. Virology. 248(2). 342–356. 14 indexed citations
9.
Rowe, Cynthia L., et al.. (1997). Generation of coronavirus spike deletion variants by high-frequency recombination at regions of predicted RNA secondary structure. Journal of Virology. 71(8). 6183–6190. 45 indexed citations
11.
Palmenberg, Ann C. & Jean-Yves Sgro. (1997). Topological Organization of Picornaviral Genomes: Statistical Prediction of RNA Structural Signals. Seminars in Virology. 8(3). 231–241. 62 indexed citations
12.
Tresnan, Dina B, et al.. (1995). Analysis of the Cell and Erythrocyte Binding Activities of the Dimple and Canyon Regions of the Canine Parvovirus Capsid. Virology. 211(1). 123–132. 43 indexed citations
13.
Mosser, Anne G., Jean-Yves Sgro, & Roland R. Rueckert. (1995). WIN51711-resistant mutants of poliovirus type 3: capsid residues important in uncoating functions. Acta Crystallographica Section D Biological Crystallography. 51(4). 490–495. 3 indexed citations
15.
Pogany, Judit, et al.. (1995). De Novo Generation of Defective Interfering-like RNAs in Broad Bean Mottle Bromovirus. Virology. 212(2). 574–586. 29 indexed citations
16.
Strassheim, M. Lisa, et al.. (1994). Two Dominant Neutralizing Antigenic Determinants of Canine Parvovirus Are Found on the Threefold Spike of the Virus Capsid. Virology. 198(1). 175–184. 138 indexed citations
17.
Parrish, Colin R., Charles F. Aquadro, M. Lisa Strassheim, et al.. (1991). Rapid antigenic-type replacement and DNA sequence evolution of canine parvovirus. Journal of Virology. 65(12). 6544–6552. 373 indexed citations
18.
Kaesberg, Paul, Ranjit Dasgupta, Jean-Yves Sgro, et al.. (1990). Structural homology among four nodaviruses as deduced by sequencing and X-ray crystallography. Journal of Molecular Biology. 214(2). 423–435. 46 indexed citations
19.
Dasgupta, Ranjit & Jean-Yves Sgro. (1989). Nucleotide sequences of three Nodavirus RNA2's: the messengers for their coat protein precursors. Nucleic Acids Research. 17(18). 7525–7526. 27 indexed citations
20.
Sgro, Jean-Yves, B. Jacrot, & Jadwiga Chroboczek. (1986). Identification of regions of brome mosaic virus coat protein chemically cross-linked in situ to viral RNA. European Journal of Biochemistry. 154(1). 69–76. 22 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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