Neda Barghi

1.3k total citations · 1 hit paper
16 papers, 680 citations indexed

About

Neda Barghi is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Neda Barghi has authored 16 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Neda Barghi's work include Evolution and Genetic Dynamics (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Genetic diversity and population structure (4 papers). Neda Barghi is often cited by papers focused on Evolution and Genetic Dynamics (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Genetic diversity and population structure (4 papers). Neda Barghi collaborates with scholars based in United States, Austria and Philippines. Neda Barghi's co-authors include Christian Schlötterer, Joachim Hermisson, Arturo O. Lluisma, Baldomero M. Olivera, Gisela P. Concepción, Viola Nolte, François Mallard, Ana Marija Jakšić, Raymond Tobler and Robert Kofler and has published in prestigious journals such as Nature Reviews Genetics, Scientific Reports and PLoS Biology.

In The Last Decade

Neda Barghi

16 papers receiving 641 citations

Hit Papers

align trajectories

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.

Polygenic adaptation: a unifying framework to understand positive selection

2020 238 citations Neda Barghi, Joachim Hermisson et al. Nature Reviews Genetics profile →

Peers

Neda Barghi

GENET

EEBS

ECOLO

Pablo Duchen Germany

Francesco Cicconardi United Kingdom

Nuria Macías‐Hernández Spain

Katya L. Mack United States

Paul E. Marek United States

Katherine C. Teeter United States

François Mallard France

Eugenia Rashkovetsky Israel

Inês Fragata Portugal

Susanne U. Franssen Austria

Pablo Duchen Germany

Neda Barghi

434 ×1.1

GENET

217 ×1.0

188 ×1.2

EEBS

130 ×1.0

ECOLO

100 ×1.5

Citations per year, relative to Neda Barghi Neda Barghi (= 1×) peers Pablo Duchen

Countries citing papers authored by Neda Barghi

Since Specialization

Citations

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

Fields of papers citing papers by Neda Barghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Barghi

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Barghi. A scholar is included among the top collaborators of Neda Barghi 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 Neda Barghi. Neda Barghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Barghi, Neda, et al.. (2025). Reduced Parallel Gene Expression Evolution With Increasing Genetic Divergence—A Hallmark of Polygenic Adaptation. Molecular Ecology. 34(12). e17803–e17803. 1 indexed citations

Barghi, Neda, et al.. (2023). A high throughput method for egg size measurement in Drosophila. Scientific Reports. 13(1). 3791–3791. 2 indexed citations

Jakšić, Ana Marija, Viola Nolte, Manolis Lirakis, et al.. (2020). Rapid sex-specific adaptation to high temperature in Drosophila. eLife. 9. 27 indexed citations

Barghi, Neda, Joachim Hermisson, & Christian Schlötterer. (2020). Author Correction: Polygenic adaptation: a unifying framework to understand positive selection. Nature Reviews Genetics. 21(12). 782–782. 5 indexed citations

Barghi, Neda, Joachim Hermisson, & Christian Schlötterer. (2020). Polygenic adaptation: a unifying framework to understand positive selection. Nature Reviews Genetics. 21(12). 769–781. 238 indexed citations breakdown →

Barghi, Neda & Christian Schlötterer. (2020). Distinct Patterns of Selective Sweep and Polygenic Adaptation in Evolve and Resequence Studies. Genome Biology and Evolution. 12(6). 890–904. 25 indexed citations

Jakšić, Ana Marija, Viola Nolte, Neda Barghi, et al.. (2020). Neuronal Function and Dopamine Signaling Evolve at High Temperature in Drosophila. Molecular Biology and Evolution. 37(9). 2630–2640. 25 indexed citations

Jakšić, Ana Marija, Viola Nolte, Neda Barghi, et al.. (2019). A 24 h Age Difference Causes Twice as Much Gene Expression Divergence as 100 Generations of Adaptation to a Novel Environment. Genes. 10(2). 89–89. 7 indexed citations

Barghi, Neda, Raymond Tobler, Viola Nolte, et al.. (2019). Genetic redundancy fuels polygenic adaptation in Drosophila. PLoS Biology. 17(2). e3000128–e3000128. 174 indexed citations

10.

Nouhaud, Pierre, François Mallard, Rodolphe Poupardin, Neda Barghi, & Christian Schlötterer. (2018). High-throughput fecundity measurements in Drosophila. Scientific Reports. 8(1). 4469–4469. 21 indexed citations

11.

Li, Qing, Neda Barghi, Aiping Lu, et al.. (2017). Divergence of the Venom Exogene Repertoire in Two Sister Species of Turriconus. Genome Biology and Evolution. 9(9). 2211–2225. 30 indexed citations

12.

Barghi, Neda, Raymond Tobler, Viola Nolte, & Christian Schlötterer. (2017). Drosophila simulans: A Species with Improved Resolution in Evolve and Resequence Studies. G3 Genes Genomes Genetics. 7(7). 2337–2343. 15 indexed citations

13.

Barghi, Neda, Gisela P. Concepción, Baldomero M. Olivera, & Arturo O. Lluisma. (2015). Structural features of conopeptide genes inferred from partial sequences of the Conus tribblei genome. Molecular Genetics and Genomics. 291(1). 411–422. 24 indexed citations

14.

Barghi, Neda, Gisela P. Concepción, Baldomero M. Olivera, & Arturo O. Lluisma. (2015). Comparison of the Venom Peptides and Their Expression in Closely RelatedConusSpecies: Insights into Adaptive Post-speciation Evolution ofConusExogenomes. Genome Biology and Evolution. 7(6). 1797–1814. 32 indexed citations

15.

Barghi, Neda, Gisela P. Concepción, Baldomero M. Olivera, & Arturo O. Lluisma. (2015). Characterization of the complete mitochondrial genome of C onus tribblei Walls, 1977. Mitochondrial DNA Part A. 27(6). 4451–4452. 8 indexed citations

16.

Barghi, Neda, Gisela P. Concepción, Baldomero M. Olivera, & Arturo O. Lluisma. (2014). High Conopeptide Diversity in Conus tribblei Revealed Through Analysis of Venom Duct Transcriptome Using Two High-Throughput Sequencing Platforms. Marine Biotechnology. 17(1). 81–98. 46 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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