Francesco Manoni

45 total papers · 664 total citations
17 papers, 554 citations indexed

About

Francesco Manoni is a scholar working on Organic Chemistry, Molecular Biology and Cancer Research. According to data from OpenAlex, Francesco Manoni has authored 17 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Francesco Manoni's work include Asymmetric Synthesis and Catalysis (10 papers), Synthetic Organic Chemistry Methods (5 papers) and Synthesis and Catalytic Reactions (5 papers). Francesco Manoni is often cited by papers focused on Asymmetric Synthesis and Catalysis (10 papers), Synthetic Organic Chemistry Methods (5 papers) and Synthesis and Catalytic Reactions (5 papers). Francesco Manoni collaborates with scholars based in Ireland, United States and Canada. Francesco Manoni's co-authors include Stephen J. Connon, Claudio Cornaggia, Patrick G. Harran, Cornelius J. O’ Connor, Esther Torrente, Sivaji Gundala, James I. Murray, Liubo Li, Simon P. Curran and Umar Farid and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Francesco Manoni

17 papers receiving 551 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Manoni 482 108 104 101 87 17 554
Jean‐Pierre Deprés 533 1.1× 95 0.9× 137 1.3× 61 0.6× 130 1.5× 40 630
Thibault Gallavardin 578 1.2× 68 0.6× 122 1.2× 96 1.0× 41 0.5× 38 651
Krzysztof Jarowicki 501 1.0× 60 0.6× 219 2.1× 66 0.7× 44 0.5× 29 613
Vilas H. Dahanukar 499 1.0× 101 0.9× 269 2.6× 61 0.6× 62 0.7× 45 651
Shuangyi Wan 391 0.8× 43 0.4× 117 1.1× 181 1.8× 84 1.0× 15 575
Raquel Rodríguez‐Acebes 557 1.2× 35 0.3× 107 1.0× 55 0.5× 42 0.5× 20 618
Mark R. Fielding 473 1.0× 32 0.3× 77 0.7× 77 0.8× 42 0.5× 14 527
J. Siva Prasad 308 0.6× 47 0.4× 145 1.4× 80 0.8× 55 0.6× 32 573
Kiyosei Iio 476 1.0× 45 0.4× 120 1.2× 50 0.5× 37 0.4× 26 613
P. S. Wharton 449 0.9× 38 0.4× 164 1.6× 51 0.5× 47 0.5× 25 571

Countries citing papers authored by Francesco Manoni

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Manoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Manoni

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Manoni. A scholar is included among the top collaborators of Francesco Manoni 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 Francesco Manoni. Francesco Manoni 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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