M Marchionni

62 total papers · 487 total citations
25 papers, 308 citations indexed

About

M Marchionni is a scholar working on Epidemiology, Reproductive Medicine and Surgery. According to data from OpenAlex, M Marchionni has authored 25 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Reproductive Medicine and 6 papers in Surgery. Recurrent topics in M Marchionni's work include Cervical Cancer and HPV Research (9 papers), Uterine Myomas and Treatments (5 papers) and Endometriosis Research and Treatment (4 papers). M Marchionni is often cited by papers focused on Cervical Cancer and HPV Research (9 papers), Uterine Myomas and Treatments (5 papers) and Endometriosis Research and Treatment (4 papers). M Marchionni collaborates with scholars based in Italy and United States. M Marchionni's co-authors include G Scarselli, G Bracco, Eliana M. Coccia, Massimiliano Fambrini, Gian Luigi Taddei, Franca Castiglione, Gianni Bargelli, Chiara Francesca Gheri, Anna Maria Buccoliero and Gianluigi Taddei and has published in prestigious journals such as Cancer Letters, International Journal of Gynecology & Obstetrics and European Journal of Obstetrics & Gynecology and Reproductive Biology.

In The Last Decade

M Marchionni

23 papers receiving 294 citations

Author Peers

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

Author Last Decade Papers Cites
M Marchionni 167 148 97 85 70 25 308
Marcello Pellegrino 136 0.8× 116 0.8× 97 1.0× 89 1.0× 31 0.4× 15 297
Edoardo Tartaglia 100 0.6× 57 0.4× 101 1.0× 91 1.1× 76 1.1× 22 362
Wilma Markus Greston 222 1.3× 171 1.2× 38 0.4× 60 0.7× 54 0.8× 20 335
John H. Smith 219 1.3× 33 0.2× 45 0.5× 38 0.4× 88 1.3× 20 356
Pratt Jh 100 0.6× 43 0.3× 116 1.2× 80 0.9× 30 0.4× 31 271
Mahalakshmi Gurumurthy 117 0.7× 31 0.2× 85 0.9× 79 0.9× 107 1.5× 21 270
R.H.J. Kerr-Wilson 62 0.4× 108 0.7× 76 0.8× 71 0.8× 83 1.2× 19 338
Tufan Öge 119 0.7× 62 0.4× 124 1.3× 117 1.4× 18 0.3× 36 332
Ch Akrivis 122 0.7× 62 0.4× 116 1.2× 191 2.2× 18 0.3× 32 355
Tsutomu Hoshiba 122 0.7× 43 0.3× 218 2.2× 121 1.4× 31 0.4× 19 320

Countries citing papers authored by M Marchionni

Since Specialization
Citations

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

Fields of papers citing papers by M Marchionni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Marchionni

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