Carmen D’Amore

67 total papers · 531 total citations
34 papers, 295 citations indexed

About

Carmen D’Amore is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Carmen D’Amore has authored 34 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Carmen D’Amore's work include Pneumonia and Respiratory Infections (6 papers), Antibiotic Use and Resistance (6 papers) and Respiratory viral infections research (4 papers). Carmen D’Amore is often cited by papers focused on Pneumonia and Respiratory Infections (6 papers), Antibiotic Use and Resistance (6 papers) and Respiratory viral infections research (4 papers). Carmen D’Amore collaborates with scholars based in Italy, United Kingdom and United States. Carmen D’Amore's co-authors include Marta Luisa Ciofi degli Atti, Carlo Briguori, Massimiliano Raponi, Cinzia Mallozzi, Giuseppe Traversa, Amelia Focaccio, Marco Crescenzi, Serena Camerini, Francesca De Micco and Pasquale Perrone Filardi and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Carmen D’Amore

31 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
Carmen D’Amore	66	57	44	35	35	34	295
Megan Van Berkel Patel	56 0.8×	47 0.8×	11 0.3×	30 0.9×	14 0.4×	30	302
Philipp Schütz	57 0.9×	23 0.4×	20 0.5×	58 1.7×	74 2.1×	29	283
Salman Mansoor	30 0.5×	30 0.5×	13 0.3×	47 1.3×	30 0.9×	29	274
Cyril Leven	37 0.6×	31 0.5×	29 0.7×	32 0.9×	20 0.6×	26	289
Vivian Chia‐Rong Hsieh	87 1.3×	23 0.4×	24 0.5×	45 1.3×	69 2.0×	35	351
Martin Kieninger	45 0.7×	57 1.0×	15 0.3×	46 1.3×	28 0.8×	33	299
Bilgin Cömert	97 1.5×	69 1.2×	41 0.9×	43 1.2×	27 0.8×	45	327
Renato Giuseppe Giovanni Terzi	90 1.4×	65 1.1×	30 0.7×	150 4.3×	24 0.7×	45	365
Constantin Bodolea	39 0.6×	50 0.9×	13 0.3×	41 1.2×	67 1.9×	42	350
Jing Liu	53 0.8×	27 0.5×	181 4.1×	40 1.1×	37 1.1×	29	359

Countries citing papers authored by Carmen D’Amore

Since Specialization

Citations

This map shows the geographic impact of Carmen 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 Carmen 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 Carmen D’Amore more than expected).

Fields of papers citing papers by Carmen D’Amore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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