Marco Losa

55 total papers · 2.1k total citations
20 papers, 804 citations indexed

About

Marco Losa is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Marco Losa has authored 20 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Oncology. Recurrent topics in Marco Losa's work include Prion Diseases and Protein Misfolding (5 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Marco Losa is often cited by papers focused on Prion Diseases and Protein Misfolding (5 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Marco Losa collaborates with scholars based in Switzerland, Italy and United States. Marco Losa's co-authors include Marco A. Pierotti, Marta Orsenigo, Federica Perrone, Emilio Bajetta, Milo Frattini, Arpine Gevorgyan, Enrico Leo, Andrea Lampis, Maria Di Bartolomeo and Catherine Riva and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The EMBO Journal.

In The Last Decade

Marco Losa

19 papers receiving 794 citations

Author Peers

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

Author						Papers	Cites
Marco Losa	456	332	242	153	145	20	804
Hirokazu Amaya	370 0.8×	581 1.8×	242 1.0×	316 2.1×	79 0.5×	20	913
Eric D. Young	274 0.6×	374 1.1×	404 1.7×	181 1.2×	99 0.7×	33	933
Jotaro Hata	417 0.9×	283 0.9×	212 0.9×	91 0.6×	84 0.6×	14	775
Keizo Sugimachi	392 0.9×	353 1.1×	247 1.0×	252 1.6×	100 0.7×	26	898
Jung-Ta Chen	198 0.4×	459 1.4×	149 0.6×	142 0.9×	84 0.6×	18	709
Olga Venditti	515 1.1×	153 0.5×	203 0.8×	117 0.8×	116 0.8×	26	782
Frank Schönleben	502 1.1×	347 1.0×	241 1.0×	173 1.1×	76 0.5×	22	873
C Sakakura	267 0.6×	354 1.1×	308 1.3×	115 0.8×	64 0.4×	28	983
Fernando Pardal	235 0.5×	404 1.2×	121 0.5×	209 1.4×	136 0.9×	26	825
Hui-Zhong Zhang	327 0.7×	599 1.8×	117 0.5×	318 2.1×	234 1.6×	18	894

Countries citing papers authored by Marco Losa

Since Specialization

Citations

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

Fields of papers citing papers by Marco Losa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Losa

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