Nina Marchi

1.8k total citations · 1 hit paper
17 papers, 453 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 453 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 Genetic diversity and population structure (8 papers), Forensic and Genetic Research (8 papers) and Genetic and phenotypic traits in livestock (3 papers). Nina Marchi is often cited by papers focused on Genetic diversity and population structure (8 papers), Forensic and Genetic Research (8 papers) and Genetic and phenotypic traits in livestock (3 papers). Nina Marchi collaborates with scholars based in France, Switzerland and Uzbekistan. Nina Marchi's co-authors include Laurent Excoffier, Remi Matthey‐Doret, David A. Marques, Alexandre Gouy, Vítor C. Sousa, Évelyne Heyer, Laure Ségurel, 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 408 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

fastsimcoal2: demographic inference under complex evolutionary scenarios

2021 209 citations Laurent Excoffier, Nina Marchi et al. Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nina Marchi France	11	252	91	73	67	55	17	453
Zuyao Liu China	15	203 0.8×	48 0.5×	18 0.2×	26 0.4×	38 0.7×	21	442
Georgy S. Levit Germany	14	84 0.3×	85 0.9×	31 0.4×	32 0.5×	107 1.9×	62	518
Jay Odenbaugh United States	13	63 0.3×	62 0.7×	51 0.7×	42 0.6×	112 2.0×	34	542
Thomas P. Snyder United States	10	162 0.6×	51 0.6×	90 1.2×	47 0.7×	8 0.1×	25	370
Robert McGregor Canada	17	82 0.3×	50 0.5×	115 1.6×	115 1.7×	10 0.2×	39	935
David Rindos Australia	9	68 0.3×	17 0.2×	83 1.1×	18 0.3×	118 2.1×	15	638
Syaukani United Kingdom	5	174 0.7×	43 0.5×	73 1.0×	21 0.3×	15 0.3×	8	405
Moniz Bandeira Brazil	6	65 0.3×	7 0.1×	107 1.5×	30 0.4×	37 0.7×	13	332
Alfred Russel Wallace United States	9	58 0.2×	23 0.3×	46 0.6×	9 0.1×	50 0.9×	41	339
Alex Anderson United States	8	165 0.7×	73 0.8×	107 1.5×	14 0.2×	35 0.6×	11	478

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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17 of 17 papers shown

Oliveira, Sandra, Nina Marchi, & Laurent Excoffier. (2024). Assessing the limits of local ancestry inference from small reference panels. Molecular Ecology Resources. 24(6). e13981–e13981. 1 indexed citations

Marchi, Nina, Adamandia Kapopoulou, & Laurent Excoffier. (2023). Demogenomic inference from spatially and temporally heterogeneous samples. Molecular Ecology Resources. 24(1). e13877–e13877. 8 indexed citations

Marchi, Nina, Marjan Mashkour, Johanna Lhuillier, et al.. (2022). Genetic analysis of a bronze age individual from Ulug-depe (Turkmenistan). Frontiers in Genetics. 13. 884612–884612. 2 indexed citations

Marchi, Nina, et al.. (2022). Genetic continuity of Indo-Iranian speakers since the Iron Age in southern Central Asia. Scientific Reports. 12(1). 733–733. 2 indexed citations

Marchi, Nina, et al.. (2021). Demographic inference. Current Biology. 31(6). R276–R279. 32 indexed citations

Excoffier, Laurent, Nina Marchi, David A. Marques, et al.. (2021). fastsimcoal2: demographic inference under complex evolutionary scenarios. Bioinformatics. 37(24). 4882–4885. 209 indexed citations breakdown →

Masi, Shelly, Frédéric Austerlitz, Sophie Lafosse, et al.. (2021). No evidence for female kin association, indications for extragroup paternity, and sex‐biased dispersal patterns in wild western gorillas. Ecology and Evolution. 11(12). 7634–7646. 10 indexed citations

Marchi, Nina & Laurent Excoffier. (2020). Gene flow as a simple cause for an excess of high‐frequency‐derived alleles. Evolutionary Applications. 13(9). 2254–2263. 11 indexed citations

Ségurel, Laure, Nina Marchi, Sophie Lafosse, et al.. (2020). Why and when was lactase persistence selected for? Insights from Central Asian herders and ancient DNA. PLoS Biology. 18(6). e3000742–e3000742. 31 indexed citations

10.

Marchi, Nina, Philippe Mennecier, Myriam Georges, et al.. (2018). Close inbreeding and low genetic diversity in Inner Asian human populations despite geographical exogamy. Scientific Reports. 8(1). 9397–9397. 16 indexed citations

11.

Marchi, Nina, Tatyana Hegay, Philippe Mennecier, et al.. (2017). Sex‐specific genetic diversity is shaped by cultural factors in Inner Asian human populations. American Journal of Physical Anthropology. 162(4). 627–640. 24 indexed citations

12.

Vilstrup, Julia T., Ruth Fernández, Nina Marchi, et al.. (2015). Mitochondrial Genetic Diversity of Eurasian Red Squirrels ( Sciurus vulgaris ) from Denmark. Journal of Heredity. 106(6). 719–727. 7 indexed citations

13.

Marchi, Nina, Serge Pissard, Manuel Cliquennois, et al.. (2014). Confirmation of a founder effect in a Northern European population of a new β-globin variant: HBB:c.23_26dup (codons 8/9 (+AGAA)). European Journal of Human Genetics. 23(9). 1158–1164. 1 indexed citations

14.

Marchi, Nina. (1974). The Success of Mill's Principles. History of Political Economy. 6(2). 119–157. 34 indexed citations

15.

Marchi, Nina, et al.. (1973). Malthus and Ricardo's Inductivist Critics: Four Letters to William Whewell. Economica. 40(160). 379–379. 25 indexed citations

16.

Marchi, Nina. (1972). Mill and Cairnes and the Emergence of Marginalism in England. History of Political Economy. 4(2). 344–363. 24 indexed citations

17.

Marchi, Nina. (1970). The Empirical Content and Longevity of Ricardian Economics. Economica. 37(147). 257–257. 16 indexed citations

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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