Tony Taldone

156 total papers · 6.1k total citations
65 papers, 3.9k citations indexed

About

Tony Taldone is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Tony Taldone has authored 65 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 12 papers in Organic Chemistry and 11 papers in Computational Theory and Mathematics. Recurrent topics in Tony Taldone's work include Heat shock proteins research (34 papers), Protein Structure and Dynamics (12 papers) and Computational Drug Discovery Methods (11 papers). Tony Taldone is often cited by papers focused on Heat shock proteins research (34 papers), Protein Structure and Dynamics (12 papers) and Computational Drug Discovery Methods (11 papers). Tony Taldone collaborates with scholars based in United States, Canada and United Kingdom. Tony Taldone's co-authors include Gabriela Chiosis, Shanu Modi, Weilin Sun, Alexander Gozman, Komal Jhaveri, Anna Rodina, Ronnie Maharaj, Pallav D. Patel, Hardik Patel and Sarah Kishinevsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Tony Taldone

64 papers receiving 3.9k citations

Hit Papers

Human iPSC-Based Modeling... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tony Taldone 2.9k 506 478 471 321 65 3.9k
Stefania Sarno 3.7k 1.3× 431 0.9× 236 0.5× 459 1.0× 897 2.8× 79 4.9k
Adeela Kamal 3.3k 1.1× 470 0.9× 493 1.0× 1.4k 2.9× 268 0.8× 48 4.7k
D O Toft 4.6k 1.5× 244 0.5× 913 1.9× 514 1.1× 448 1.4× 63 6.4k
Yoshihiko Miyata 2.7k 0.9× 231 0.5× 374 0.8× 749 1.6× 245 0.8× 78 3.4k
Andrew K. Shiau 4.4k 1.5× 595 1.2× 360 0.8× 959 2.0× 1.0k 3.1× 54 6.8k
Jack‐Michel Renoir 2.9k 1.0× 188 0.4× 570 1.2× 244 0.5× 859 2.7× 84 5.0k
Maria Ruzzene 4.5k 1.5× 280 0.6× 541 1.1× 665 1.4× 1.1k 3.5× 120 6.1k
Sunmin Lee 2.7k 0.9× 122 0.2× 637 1.3× 258 0.5× 723 2.3× 62 4.3k
Flavio Meggio 6.9k 2.3× 472 0.9× 423 0.9× 1.1k 2.4× 1.2k 3.8× 141 8.7k
Csaba Hetényi 1.9k 0.6× 591 1.2× 256 0.5× 571 1.2× 315 1.0× 92 3.4k

Countries citing papers authored by Tony Taldone

Since Specialization
Citations

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

Fields of papers citing papers by Tony Taldone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Taldone

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

All Works

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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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