Nina Marchi

33 total papers · 1.8k total citations
17 papers, 449 citations indexed

About

Nina Marchi is a scholar working on Genetics, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Nina Marchi has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 3 papers in Sociology and Political Science and 2 papers in Molecular Biology. Recurrent topics in Nina Marchi's work include Forensic and Genetic Research (8 papers), Genetic diversity and population structure (8 papers) and Political Economy and Marxism (3 papers). Nina Marchi is often cited by papers focused on Forensic and Genetic Research (8 papers), Genetic diversity and population structure (8 papers) and Political Economy and Marxism (3 papers). Nina Marchi collaborates with scholars based in France, Switzerland and Russia. Nina Marchi's co-authors include Laurent Excoffier, Alexandre Gouy, Remi Matthey‐Doret, Vítor C. Sousa, David A. Marques, Laure Ségurel, Évelyne Heyer, Tatyana Hegay, Sophie Lafosse and R. Laurent and has published in prestigious journals such as Bioinformatics, Current Biology and Scientific Reports.

In The Last Decade

Nina Marchi

17 papers receiving 404 citations

Hit Papers

fastsimcoal2: demographic... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Nina Marchi 251 91 71 68 55 17 449
Zuyao Liu 200 0.8× 47 0.5× 18 0.3× 24 0.4× 37 0.7× 21 429
Jay Odenbaugh 63 0.3× 62 0.7× 52 0.7× 42 0.6× 111 2.0× 34 536
James L.D. Smith 158 0.6× 61 0.7× 237 3.3× 29 0.4× 44 0.8× 13 429
Syaukani 174 0.7× 43 0.5× 73 1.0× 21 0.3× 15 0.3× 8 404
Chantal Radimilahy 106 0.4× 40 0.4× 88 1.2× 12 0.2× 23 0.4× 22 552
Tianxiao Ma 136 0.5× 112 1.2× 191 2.7× 14 0.2× 17 0.3× 12 475
Mark Chandler 42 0.2× 26 0.3× 215 3.0× 47 0.7× 14 0.3× 16 441
William D. Stansfield 142 0.6× 105 1.2× 28 0.4× 9 0.1× 83 1.5× 38 535
R. Geesink 26 0.1× 92 1.0× 36 0.5× 27 0.4× 45 0.8× 16 436
Conway Waddington 109 0.4× 104 1.1× 41 0.6× 7 0.1× 70 1.3× 27 422

Countries citing papers authored by Nina Marchi

Since Specialization
Citations

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

Fields of papers citing papers by Nina Marchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Marchi

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