Filippo Pasi

25 total papers · 573 total citations
13 papers, 437 citations indexed

About

Filippo Pasi is a scholar working on Organic Chemistry, Molecular Biology and Catalysis. According to data from OpenAlex, Filippo Pasi has authored 13 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Organic Chemistry, 5 papers in Molecular Biology and 2 papers in Catalysis. Recurrent topics in Filippo Pasi's work include Asymmetric Synthesis and Catalysis (10 papers), Chemical Synthesis and Analysis (4 papers) and Synthetic Organic Chemistry Methods (4 papers). Filippo Pasi is often cited by papers focused on Asymmetric Synthesis and Catalysis (10 papers), Chemical Synthesis and Analysis (4 papers) and Synthetic Organic Chemistry Methods (4 papers). Filippo Pasi collaborates with scholars based in Italy, Denmark and India. Filippo Pasi's co-authors include Marco Lombardo, Claudio Trombini, Srinivasan Easwar, Montse Guiteras Capdevila, Dilip D. Dhavale, Alessandro De Marco, William R. Pitner, Kenneth R. Seddon, Petteri Elsner and Karl Anker Jørgensen and has published in prestigious journals such as Chemical Communications, Green Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Filippo Pasi

13 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Filippo Pasi 390 152 108 92 28 13 437
Ingo Emme 366 0.9× 128 0.8× 77 0.7× 43 0.5× 32 1.1× 10 438
Haifeng Duan 350 0.9× 57 0.4× 81 0.8× 106 1.2× 28 1.0× 17 423
Marcelo R. dos Santos 305 0.8× 54 0.4× 68 0.6× 32 0.3× 36 1.3× 12 389
Battsengel Gotov 405 1.0× 128 0.8× 59 0.5× 134 1.5× 32 1.1× 17 450
Sangram Gore 306 0.8× 132 0.9× 63 0.6× 23 0.3× 48 1.7× 13 418
Ezat Ghaemi 429 1.1× 40 0.3× 85 0.8× 45 0.5× 12 0.4× 23 477
Arthur W. Herriott 344 0.9× 40 0.3× 63 0.6× 46 0.5× 30 1.1× 15 451
Xavier Marset 345 0.9× 189 1.2× 41 0.4× 49 0.5× 40 1.4× 22 480
Li‐Chun Feng 407 1.0× 119 0.8× 97 0.9× 143 1.6× 64 2.3× 13 477
Christoph Weckbecker 345 0.9× 28 0.2× 77 0.7× 117 1.3× 13 0.5× 8 405

Countries citing papers authored by Filippo Pasi

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Pasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Pasi

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