Amir R. Kermany

518 total citations
9 papers, 254 citations indexed

About

Amir R. Kermany is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Amir R. Kermany has authored 9 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Amir R. Kermany's work include Evolution and Genetic Dynamics (4 papers), Evolutionary Game Theory and Cooperation (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). Amir R. Kermany is often cited by papers focused on Evolution and Genetic Dynamics (4 papers), Evolutionary Game Theory and Cooperation (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). Amir R. Kermany collaborates with scholars based in United States and Canada. Amir R. Kermany's co-authors include Julie M. Granka, Natalie M. Myres, Keith Noto, Catherine A. Ball, Jake Byrnes, Kristin A. Rand, Daniel Garrigan, J. Graham Ruby, Kevin M. Wright and Sabin Lessard and has published in prestigious journals such as Nature Communications, Bioinformatics and Genetics.

In The Last Decade

Amir R. Kermany

9 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir R. Kermany United States	5	108	82	62	33	23	9	254
Kristin A. Rand United States	4	99 0.9×	80 1.0×	62 1.0×	34 1.0×	23 1.0×	4	261
Danny Ben‐Avraham United States	9	128 1.2×	147 1.8×	89 1.4×	73 2.2×	41 1.8×	12	359
Andres Metspalu Estonia	6	159 1.5×	60 0.7×	34 0.5×	83 2.5×	24 1.0×	8	316
Peter Lenárt Czechia	8	24 0.2×	95 1.2×	41 0.7×	55 1.7×	12 0.5×	20	330
Mikhail Kovtun United States	9	68 0.6×	128 1.6×	37 0.6×	48 1.5×	14 0.6×	17	294
Ipsita Agarwal United States	5	209 1.9×	68 0.8×	17 0.3×	10 0.3×	27 1.2×	6	303
Anne Brooks United States	9	72 0.7×	31 0.4×	179 2.9×	31 0.9×	31 1.3×	21	392
Brittany A. Demmitt United States	5	32 0.3×	177 2.2×	69 1.1×	88 2.7×	8 0.3×	5	343
Lauren Roth United States	10	38 0.4×	108 1.3×	28 0.5×	50 1.5×	54 2.3×	19	489
Magdalena Klimek Poland	10	56 0.5×	121 1.5×	14 0.2×	17 0.5×	48 2.1×	34	340

Countries citing papers authored by Amir R. Kermany

Since Specialization

Citations

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

Fields of papers citing papers by Amir R. Kermany

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir R. Kermany. 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 Amir R. Kermany. The network helps show where Amir R. Kermany may publish in the future.

Co-authorship network of co-authors of Amir R. Kermany

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

All Works

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9 of 9 papers shown

Wright, Kevin M., Kristin A. Rand, Amir R. Kermany, et al.. (2019). A Prospective Analysis of Genetic Variants Associated with Human Lifespan. G3 Genes Genomes Genetics. 9(9). 2863–2878. 35 indexed citations

Ruby, J. Graham, Kevin M. Wright, Kristin A. Rand, et al.. (2018). Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating. Genetics. 210(3). 1109–1124. 123 indexed citations

Han, Eunjung, Peter Carbonetto, Yong Wang, et al.. (2017). Clustering of 770,000 genomes reveals post-colonial population structure of North America. Nature Communications. 8(1). 14238–14238. 61 indexed citations

Meyer, Wynn K., Aarti Venkat, Amir R. Kermany, et al.. (2015). Evolutionary history inferred from the de novo assembly of a nonmodel organism, the blue‐eyed black lemur. Molecular Ecology. 24(17). 4392–4405. 16 indexed citations

Kermany, Amir R., et al.. (2014). TroX: a new method to learn about the genesis of aneuploidy from trisomic products of conception. Bioinformatics. 30(14). 2035–2042. 1 indexed citations

Kermany, Amir R. & Sabin Lessard. (2012). Effect of epistasis and linkage on fixation probability in three-locus models: An ancestral recombination–selection graph approach. Theoretical Population Biology. 82(2). 131–145. 4 indexed citations

Lessard, Sabin & Amir R. Kermany. (2011). Fixation Probability in a Two-Locus Model by the Ancestral Recombination–Selection Graph. Genetics. 190(2). 691–707. 8 indexed citations

Ackerman, Sharon H., Amir R. Kermany, & Dónal A. Hickey. (2010). Finite Populations, Finite Resources, and the Evolutionary Maintenance of Genetic Recombination. Journal of Heredity. 101(Supplement 1). S135–S141. 2 indexed citations

Kermany, Amir R., Xiaowen Zhou, & Dónal A. Hickey. (2008). Joint stationary moments of a two-island diffusion model of population subdivision. Theoretical Population Biology. 74(3). 226–232. 4 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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