Massimo Pierpaoli

14 total papers · 1.1k total citations
12 papers, 869 citations indexed

About

Massimo Pierpaoli is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Massimo Pierpaoli has authored 12 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Ecology and 4 papers in Molecular Biology. Recurrent topics in Massimo Pierpaoli's work include Genetic diversity and population structure (10 papers), Wildlife Ecology and Conservation (8 papers) and Identification and Quantification in Food (3 papers). Massimo Pierpaoli is often cited by papers focused on Genetic diversity and population structure (10 papers), Wildlife Ecology and Conservation (8 papers) and Identification and Quantification in Food (3 papers). Massimo Pierpaoli collaborates with scholars based in Italy, Denmark and Russia. Massimo Pierpaoli's co-authors include Ettore Randi, Bernardino Ragni, László Szemethy, Zs. Biró, Francesco Riga, Emmanuel Douzery, Mark Beaumont, Andrea Sforzi, Nadia Mucci and А. А. Данилкин and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Molecular Ecology and Molecular Biology and Evolution.

In The Last Decade

Massimo Pierpaoli

12 papers receiving 803 citations

Author Peers

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

Author						Papers	Cites
Massimo Pierpaoli	643	609	120	70	66	12	869
Peter L. Clarkson	615 1.0×	632 1.0×	118 1.0×	104 1.5×	118 1.8×	9	885
Silvester Nyakaana	609 0.9×	467 0.8×	120 1.0×	53 0.8×	125 1.9×	34	874
Rita Lorenzini	693 1.1×	698 1.1×	229 1.9×	67 1.0×	71 1.1×	46	961
Patrick Andau	461 0.7×	321 0.5×	115 1.0×	78 1.1×	150 2.3×	10	779
Eli Knispel Rueness	691 1.1×	534 0.9×	210 1.8×	91 1.3×	152 2.3×	26	1.0k
G. B. Hartl	682 1.1×	679 1.1×	146 1.2×	60 0.9×	99 1.5×	34	876
Amy M. Runck	403 0.6×	463 0.8×	98 0.8×	41 0.6×	142 2.2×	15	743
Xavier Domingo‐Roura	508 0.8×	408 0.7×	208 1.7×	45 0.6×	185 2.8×	32	880
Lance Craighead	545 0.8×	600 1.0×	108 0.9×	99 1.4×	106 1.6×	9	807
Johnny Birks	858 1.3×	342 0.6×	97 0.8×	107 1.5×	99 1.5×	31	968

Countries citing papers authored by Massimo Pierpaoli

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Pierpaoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Pierpaoli

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