A.M. Mamusa

36 total papers · 434 total citations
15 papers, 219 citations indexed

About

A.M. Mamusa is a scholar working on Hematology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, A.M. Mamusa has authored 15 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in A.M. Mamusa's work include Blood properties and coagulation (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). A.M. Mamusa is often cited by papers focused on Blood properties and coagulation (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). A.M. Mamusa collaborates with scholars based in Italy, China and Greece. A.M. Mamusa's co-authors include Francesco Marongiu, Giovanna Mulas, Maria Grazia Bernengo, Serena Rupoli, Nicola Pimpinelli, Michele Fimiani, Angelo Carbone, Maria Vittoria Conti, Ugo Bottoni and Mauro Alaibac and has published in prestigious journals such as Cancer, International Journal of Radiation Oncology*Biology*Physics and Thrombosis Research.

In The Last Decade

A.M. Mamusa

15 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
A.M. Mamusa	88	82	68	42	39	15	219
Jesse I. Spector	30 0.3×	39 0.5×	48 0.7×	62 1.5×	85 2.2×	22	330
Cristina Muniesa	189 2.1×	132 1.6×	117 1.7×	16 0.4×	11 0.3×	19	303
Bianka Darvalics	67 0.8×	15 0.2×	36 0.5×	39 0.9×	25 0.6×	22	263
Hisaki Shimada	32 0.4×	21 0.3×	29 0.4×	41 1.0×	36 0.9×	20	257
Marian H. Taylor	55 0.6×	139 1.7×	75 1.1×	93 2.2×	5 0.1×	15	317
G. Ciavarella	23 0.3×	33 0.4×	18 0.3×	41 1.0×	76 1.9×	12	267
Paola Coral-Alvarado	48 0.5×	157 1.9×	55 0.8×	28 0.7×	15 0.4×	14	287
Barbara O’Malley	78 0.9×	106 1.3×	8 0.1×	44 1.0×	31 0.8×	11	237
David Rosenbaum	11 0.1×	34 0.4×	75 1.1×	120 2.9×	34 0.9×	14	327
Nouran Abaza	13 0.1×	53 0.6×	15 0.2×	14 0.3×	17 0.4×	22	224

Countries citing papers authored by A.M. Mamusa

Since Specialization

Citations

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

Fields of papers citing papers by A.M. Mamusa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.M. Mamusa

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