Leonardo Furci

20 total papers · 715 total citations
10 papers, 455 citations indexed

About

Leonardo Furci is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Leonardo Furci has authored 10 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Leonardo Furci's work include Plant-Microbe Interactions and Immunity (5 papers), Plant Parasitism and Resistance (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Leonardo Furci is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Plant Parasitism and Resistance (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Leonardo Furci collaborates with scholars based in United Kingdom, Japan and Germany. Leonardo Furci's co-authors include Jurriaan Ton, Ana López Sánchez, Lisa M. Smith, Joost Stassen, Melissa H. Magerøy, Paal Krokene, T. E. Anne Cotton, Samuel W. Wilkinson, Frank Johannes and James Whelan and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Leonardo Furci

10 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Furci 391 150 41 29 24 10 455
Pengfei Zhi 376 1.0× 150 1.0× 31 0.8× 30 1.0× 25 1.0× 17 409
Hung-Chi Liu 207 0.5× 287 1.9× 44 1.1× 21 0.7× 20 0.8× 10 435
Derry Voisin 477 1.2× 231 1.5× 30 0.7× 17 0.6× 39 1.6× 7 504
Marijn Knip 323 0.8× 285 1.9× 21 0.5× 13 0.4× 17 0.7× 8 428
Neeta Lohani 347 0.9× 287 1.9× 16 0.4× 12 0.4× 23 1.0× 12 465
Dan Weinthal 381 1.0× 209 1.4× 29 0.7× 10 0.3× 47 2.0× 15 450
Laurène Rochat 290 0.7× 126 0.8× 27 0.7× 83 2.9× 31 1.3× 6 411
Filomena Giorno 325 0.8× 263 1.8× 28 0.7× 14 0.5× 15 0.6× 7 406
Yang‐Shuo Dai 422 1.1× 166 1.1× 49 1.2× 19 0.7× 13 0.5× 11 468
Manuela Campa 339 0.9× 241 1.6× 41 1.0× 9 0.3× 37 1.5× 16 424

Countries citing papers authored by Leonardo Furci

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Furci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Furci

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