Marc Peter Maserati

36 total papers · 632 total citations
15 papers, 273 citations indexed

About

Marc Peter Maserati is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Genetics. According to data from OpenAlex, Marc Peter Maserati has authored 15 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 9 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Marc Peter Maserati's work include Reproductive Biology and Fertility (10 papers), Pluripotent Stem Cells Research (6 papers) and Animal Genetics and Reproduction (5 papers). Marc Peter Maserati is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Pluripotent Stem Cells Research (6 papers) and Animal Genetics and Reproduction (5 papers). Marc Peter Maserati collaborates with scholars based in United States, Brazil and France. Marc Peter Maserati's co-authors include Christopher Malcuit, Raymond Page, Rafael A. Fissore, Yoshiyuki Takahashi, José Celso Rocha, Jesse Mager, Marcelo Fábio Gouveia Nogueira, M Takahashi, Andréa Cristina Basso and Irina Klimanskaya and has published in prestigious journals such as PLoS ONE, Scientific Reports and Theriogenology.

In The Last Decade

Marc Peter Maserati

15 papers receiving 262 citations

Author Peers

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

Author Last Decade Papers Cites
Marc Peter Maserati 173 131 96 67 35 15 273
Jorunn M. Andersen 123 0.7× 77 0.6× 185 1.9× 29 0.4× 39 1.1× 16 318
Yu Zhang 118 0.7× 108 0.8× 64 0.7× 96 1.4× 10 0.3× 15 293
Patrick Aldag 169 1.0× 127 1.0× 97 1.0× 73 1.1× 62 1.8× 13 283
Érika Cristina dos Santos 197 1.1× 163 1.2× 64 0.7× 75 1.1× 53 1.5× 26 301
Xinbao Zheng 141 0.8× 211 1.6× 31 0.3× 130 1.9× 64 1.8× 12 314
Domenico Iuso 177 1.0× 180 1.4× 96 1.0× 81 1.2× 23 0.7× 22 317
Lotte Strøbech 226 1.3× 87 0.7× 114 1.2× 93 1.4× 26 0.7× 10 309
Petra Kiesel 128 0.7× 176 1.3× 111 1.2× 116 1.7× 13 0.4× 11 330
Songbang Ou 208 1.2× 116 0.9× 133 1.4× 62 0.9× 93 2.7× 28 316
S. Chigioni 258 1.5× 95 0.7× 217 2.3× 51 0.8× 17 0.5× 13 316

Countries citing papers authored by Marc Peter Maserati

Since Specialization
Citations

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

Fields of papers citing papers by Marc Peter Maserati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Peter Maserati. 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 Marc Peter Maserati. The network helps show where Marc Peter Maserati may publish in the future.

Co-authorship network of co-authors of Marc Peter Maserati

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Peter Maserati. A scholar is included among the top collaborators of Marc Peter Maserati 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 Marc Peter Maserati. Marc Peter Maserati 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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