Federica Loi

68 total papers · 992 total citations
44 papers, 544 citations indexed

About

Federica Loi is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Federica Loi has authored 44 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 23 papers in Agronomy and Crop Science and 11 papers in Infectious Diseases. Recurrent topics in Federica Loi's work include Vector-Borne Animal Diseases (23 papers), Animal Disease Management and Epidemiology (22 papers) and Viral Infections and Immunology Research (10 papers). Federica Loi is often cited by papers focused on Vector-Borne Animal Diseases (23 papers), Animal Disease Management and Epidemiology (22 papers) and Viral Infections and Immunology Research (10 papers). Federica Loi collaborates with scholars based in Italy, United Kingdom and United States. Federica Loi's co-authors include Sandro Rolesu, Stefano Cappai, Alberto Laddomada, Giovanna Masala, Annalisa Oggiano, Giulia Franzoni, Mariangela Valentina Puci, Ottavia Eleonora Ferraro, Cristina Montomoli and Vittorio Gubertì and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS neglected tropical diseases.

In The Last Decade

Federica Loi

40 papers receiving 533 citations

Author Peers

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

Author						Papers	Cites
Federica Loi	287	277	141	136	73	44	544
Michael Ocaido	143 0.5×	146 0.5×	49 0.3×	143 1.1×	165 2.3×	30	550
Joseph Kungu	192 0.7×	124 0.4×	38 0.3×	134 1.0×	68 0.9×	30	537
Lonzy Ojok	171 0.6×	147 0.5×	79 0.6×	125 0.9×	23 0.3×	39	524
Jae‐Ku Oem	177 0.6×	111 0.4×	35 0.2×	318 2.3×	25 0.3×	32	595
Fábio E. Leal	80 0.3×	60 0.2×	11 0.1×	103 0.8×	20 0.3×	40	560
Yanjun Zhang	34 0.1×	32 0.1×	35 0.2×	192 1.4×	28 0.4×	39	473
T. A. Swartz	58 0.2×	24 0.1×	263 1.9×	288 2.1×	29 0.4×	35	544
Danilo Pezo	285 1.0×	169 0.6×	51 0.4×	72 0.5×	41 0.6×	45	535
Jianning Wang	129 0.4×	127 0.5×	43 0.3×	252 1.9×	7 0.1×	46	587
Julie Sinclair	97 0.3×	26 0.1×	47 0.3×	97 0.7×	13 0.2×	26	485

Countries citing papers authored by Federica Loi

Since Specialization

Citations

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

Fields of papers citing papers by Federica Loi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Loi

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