Marzia Matucci

42 total papers · 664 total citations
36 papers, 525 citations indexed

About

Marzia Matucci is a scholar working on Surgery, Hematology and Epidemiology. According to data from OpenAlex, Marzia Matucci has authored 36 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Hematology and 9 papers in Epidemiology. Recurrent topics in Marzia Matucci's work include Hemophilia Treatment and Research (10 papers), Cervical Cancer and HPV Research (9 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Marzia Matucci is often cited by papers focused on Hemophilia Treatment and Research (10 papers), Cervical Cancer and HPV Research (9 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Marzia Matucci collaborates with scholars based in Italy, United States and Venezuela. Marzia Matucci's co-authors include Giovanni Longo, Andrea Messori, Massimo Morfini, Silvia Vannini, Enrico Tendi, Cristina Maddau, Domenico Prisco, Massimo Falchini, Gian Franco Gensini and Pier Giorgio Rogasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Marzia Matucci

36 papers receiving 494 citations

Author Peers

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

Author						Papers	Cites
Marzia Matucci	231	81	80	70	57	36	525
Ann‐Catrine Teger‐Nilsson	176 0.8×	114 1.4×	54 0.7×	74 1.1×	55 1.0×	28	487
Gavin Willis	227 1.0×	60 0.7×	93 1.2×	50 0.7×	31 0.5×	24	553
L. Engstedt	178 0.8×	50 0.6×	87 1.1×	57 0.8×	22 0.4×	41	607
Karl Egan	191 0.8×	84 1.0×	156 1.9×	29 0.4×	40 0.7×	29	547
J. Manaster	175 0.8×	65 0.8×	117 1.5×	37 0.5×	20 0.4×	26	576
Marina Mantzourani	125 0.5×	60 0.7×	84 1.1×	33 0.5×	36 0.6×	48	461
David Hernández‐Espinosa	191 0.8×	32 0.4×	94 1.2×	88 1.3×	50 0.9×	29	558
Tadashi Maekawa	277 1.2×	55 0.7×	46 0.6×	26 0.4×	27 0.5×	42	468
Yan Liu	99 0.4×	54 0.7×	43 0.5×	93 1.3×	27 0.5×	41	467
Yuan‐Bin Yu	152 0.7×	41 0.5×	103 1.3×	50 0.7×	22 0.4×	35	457

Countries citing papers authored by Marzia Matucci

Since Specialization

Citations

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

Fields of papers citing papers by Marzia Matucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marzia Matucci

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