Jon Yamato

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Jon Yamato is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jon Yamato has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Surgery. Recurrent topics in Jon Yamato's work include Genomics and Phylogenetic Studies (7 papers), Evolution and Genetic Dynamics (5 papers) and Genetic diversity and population structure (4 papers). Jon Yamato is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Evolution and Genetic Dynamics (5 papers) and Genetic diversity and population structure (4 papers). Jon Yamato collaborates with scholars based in United States. Jon Yamato's co-authors include Mary K. Kuhner, Joseph Felsenstein, Joe Felsenstein, Peter Beerli, Lucian P. Smith, Brian J. Reid, Patricia C. Galipeau, Carissa A. Sanchez, Thomas G. Paulson and Xiaohong Li and has published in prestigious journals such as Bioinformatics, Genetics and Systematic Biology.

In The Last Decade

Jon Yamato

9 papers receiving 1.2k 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.

Maximum Likelihood Estimation of Population Growth Rates Based on the Coalescent

1998 525 citations Mary K. Kuhner, Jon Yamato et al. Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Yamato United States	5	914	397	344	128	114	9	1.2k
Stefano Mona France	22	888 1.0×	298 0.8×	335 1.0×	180 1.4×	239 2.1×	43	1.3k
Andrea Benazzo Italy	19	562 0.6×	227 0.6×	205 0.6×	95 0.7×	114 1.0×	35	965
Filipe Santos France	7	690 0.8×	183 0.5×	367 1.1×	220 1.7×	193 1.7×	8	982
Christoph Leuenberger Switzerland	12	542 0.6×	193 0.5×	197 0.6×	176 1.4×	90 0.8×	22	1.0k
Samuel Neuenschwander Switzerland	20	1.2k 1.3×	441 1.1×	319 0.9×	356 2.8×	156 1.4×	43	1.8k
Flora Jay France	13	730 0.8×	223 0.6×	166 0.5×	83 0.6×	47 0.4×	23	1.1k
Jonathan Terhorst United States	11	749 0.8×	325 0.8×	125 0.4×	89 0.7×	54 0.5×	26	1.1k
Michael DeGiorgio United States	20	865 0.9×	470 1.2×	141 0.4×	94 0.7×	50 0.4×	57	1.2k
Laura A. Salter United States	12	514 0.6×	575 1.4×	110 0.3×	156 1.2×	60 0.5×	14	974
D. A. Briscoe Australia	23	659 0.7×	353 0.9×	302 0.9×	425 3.3×	128 1.1×	40	1.4k

Countries citing papers authored by Jon Yamato

Since Specialization

Citations

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

Fields of papers citing papers by Jon Yamato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Yamato

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Smith, Lucian P., Jon Yamato, Patricia C. Galipeau, et al.. (2020). Within‐patient phylogenetic reconstruction reveals early events in Barrett’s Esophagus. Evolutionary Applications. 14(2). 399–415. 2 indexed citations

2.

Smith, Lucian P., Jon Yamato, & Mary K. Kuhner. (2018). CNValidator: validating somatic copy-number inference. Bioinformatics. 35(15). 2660–2662. 2 indexed citations

3.

Kuhner, Mary K. & Jon Yamato. (2017). A Consensus Method for Ancestral Recombination Graphs. Journal of Molecular Evolution. 84(2-3). 129–138. 1 indexed citations

4.

Kuhner, Mary K. & Jon Yamato. (2015). Assessing Differences Between Ancestral Recombination Graphs. Journal of Molecular Evolution. 80(5-6). 258–264. 3 indexed citations

5.

Kuhner, Mary K. & Jon Yamato. (2014). Practical Performance of Tree Comparison Metrics. Systematic Biology. 64(2). 205–214. 52 indexed citations

6.

Kuhner, Mary K., Jon Yamato, & Joseph Felsenstein. (2000). Maximum Likelihood Estimation of Recombination Rates From Population Data. Genetics. 156(3). 1393–1401. 160 indexed citations

7.

Kuhner, Mary K., Peter Beerli, Jon Yamato, & Joseph Felsenstein. (2000). Usefulness of Single Nucleotide Polymorphism Data for Estimating Population Parameters. Genetics. 156(1). 439–447. 120 indexed citations

8.

Kuhner, Mary K., Jon Yamato, & Joseph Felsenstein. (1998). Maximum Likelihood Estimation of Population Growth Rates Based on the Coalescent. Genetics. 149(1). 429–434. 525 indexed citations breakdown →

9.

Kuhner, Mary K., Jon Yamato, & Joe Felsenstein. (1995). Estimating effective population size and mutation rate from sequence data using Metropolis-Hastings sampling.. Genetics. 140(4). 1421–1430. 349 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.

Explore authors with similar magnitude of impact