Francesco D’Amore

46 total papers · 936 total citations
26 papers, 224 citations indexed

About

Francesco D’Amore is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Francesco D’Amore has authored 26 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health, Toxicology and Mutagenesis, 10 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in Francesco D’Amore's work include Mercury impact and mitigation studies (12 papers), Atmospheric and Environmental Gas Dynamics (8 papers) and Toxic Organic Pollutants Impact (8 papers). Francesco D’Amore is often cited by papers focused on Mercury impact and mitigation studies (12 papers), Atmospheric and Environmental Gas Dynamics (8 papers) and Toxic Organic Pollutants Impact (8 papers). Francesco D’Amore collaborates with scholars based in Italy, United States and Brazil. Francesco D’Amore's co-authors include Nicola Pirrone, Francesca Sprovieri, Mariantonia Bencardino, Sergio Cinnirella, Francesco De Simone, Ian M. Hedgecock, Francesco Carbone, Alfonso Senatore, Giulio Esposito and Giuseppe Mendicino and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Atmospheric Environment.

In The Last Decade

Francesco D’Amore

23 papers receiving 223 citations

Author Peers

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

Author						Papers	Cites
Francesco D’Amore	148	65	54	34	22	26	224
Mariantonia Bencardino	222 1.5×	72 1.1×	109 2.0×	32 0.9×	28 1.3×	29	301
Azatuhi Hovsepyan	99 0.7×	139 2.1×	77 1.4×	27 0.8×	17 0.8×	19	321
Aditya Kumar	98 0.7×	89 1.4×	88 1.6×	14 0.4×	30 1.4×	18	199
Daniel Pires Bitencourt	155 1.0×	96 1.5×	53 1.0×	20 0.6×	10 0.5×	30	291
Ying Chen	84 0.6×	54 0.8×	92 1.7×	49 1.4×	33 1.5×	22	310
Francis S. Mani	84 0.6×	50 0.8×	67 1.2×	20 0.6×	74 3.4×	23	224
Michael Staudinger	80 0.5×	80 1.2×	164 3.0×	10 0.3×	15 0.7×	12	244
Nina Yulianti	35 0.2×	132 2.0×	58 1.1×	62 1.8×	6 0.3×	25	215
Madan Sigdel	67 0.5×	192 3.0×	124 2.3×	23 0.7×	30 1.4×	21	300
Sang-Bum Hong	87 0.6×	109 1.7×	215 4.0×	30 0.9×	26 1.2×	33	276

Countries citing papers authored by Francesco D’Amore

Since Specialization

Citations

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

Fields of papers citing papers by Francesco D’Amore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco D’Amore

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