Massimo De Carne

19 total papers · 932 total citations
15 papers, 668 citations indexed

About

Massimo De Carne is a scholar working on Psychiatry and Mental health, Gastroenterology and Complementary and alternative medicine. According to data from OpenAlex, Massimo De Carne has authored 15 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 7 papers in Gastroenterology and 5 papers in Complementary and alternative medicine. Recurrent topics in Massimo De Carne's work include Psychosomatic Disorders and Their Treatments (9 papers), Complementary and Alternative Medicine Studies (5 papers) and Gastrointestinal motility and disorders (5 papers). Massimo De Carne is often cited by papers focused on Psychosomatic Disorders and Their Treatments (9 papers), Complementary and Alternative Medicine Studies (5 papers) and Gastrointestinal motility and disorders (5 papers). Massimo De Carne collaborates with scholars based in Italy, United States and Canada. Massimo De Carne's co-authors include Piero Porcelli, Graeme J. Taylor, Gioacchino Leandro, R. Michael Bagby, Orlando Todarello, Giovanni A. Fava, Giuseppe Riezzo, Marisa Chiloiro, Antonello Bellomo and Francesco Pesce and has published in prestigious journals such as Psychosomatic Medicine, World Journal of Gastroenterology and Cell Death and Disease.

In The Last Decade

Massimo De Carne

15 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Massimo De Carne 382 155 154 109 94 15 668
Judy Jackson 274 0.7× 156 1.0× 61 0.4× 103 0.9× 41 0.4× 12 793
Nina Sauer 329 0.9× 177 1.1× 30 0.2× 153 1.4× 53 0.6× 33 658
J. DEVANCE HAMILTON 141 0.4× 238 1.5× 106 0.7× 53 0.5× 30 0.3× 10 764
E. A. Walker 144 0.4× 101 0.7× 229 1.5× 27 0.2× 26 0.3× 11 580
Christine Rigby 177 0.5× 101 0.7× 361 2.3× 81 0.7× 18 0.2× 8 614
Elyse R. Thakur 156 0.4× 90 0.6× 271 1.8× 17 0.2× 55 0.6× 29 586
P. Barczak 234 0.6× 137 0.9× 53 0.3× 22 0.2× 160 1.7× 10 681
J.H. Bolk 350 0.9× 155 1.0× 14 0.1× 168 1.5× 64 0.7× 15 714
Joy Ratcliffe 156 0.4× 111 0.7× 447 2.9× 42 0.4× 15 0.2× 10 697
Jan H. Bolk 438 1.1× 143 0.9× 15 0.1× 179 1.6× 132 1.4× 14 609

Countries citing papers authored by Massimo De Carne

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Carne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo De Carne. 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 Massimo De Carne. The network helps show where Massimo De Carne may publish in the future.

Co-authorship network of co-authors of Massimo De Carne

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo De Carne. A scholar is included among the top collaborators of Massimo De Carne 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 Massimo De Carne. Massimo De Carne 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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