Zane Colaric

552 total citations
3 papers, 65 citations indexed

About

Zane Colaric is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Zane Colaric has authored 3 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Zane Colaric's work include Genetic diversity and population structure (2 papers), Genomics and Phylogenetic Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Zane Colaric is often cited by papers focused on Genetic diversity and population structure (2 papers), Genomics and Phylogenetic Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Zane Colaric collaborates with scholars based in United States, Australia and China. Zane Colaric's co-authors include Arina D. Omer, Olga Dudchenko, Erez Lieberman Aiden, Benjamin D. Rosen, Jens Keilwagen, Martin A. Smith, J. William O. Ballard, Timothy P. L. Smith, Ksenia Skvortsova and Eva K.F. Chan and has published in prestigious journals such as PLoS ONE, Molecular Ecology Resources and GigaScience.

In The Last Decade

Zane Colaric

3 papers receiving 63 citations

Peers

Zane Colaric

MB

GENET

PS

ECOLO

ID

Xiaosen Guo China

Shreyasee Chakraborty United States

Zeshan Lin China

Sabine Felkel Austria

Bilal El Houdaigui France

Sandra Dérozier France

Michael Stratton United States

Zhonghuang Wang China

Patrick Masterson United States

Deanna Arsala United States

Xiaosen Guo China

Zane Colaric

33 ×0.8

MB

29 ×0.8

GENET

12 ×1.0

PS

6 ×0.5

ECOLO

5 ×1.7

ID

Citations per year, relative to Zane Colaric Zane Colaric (= 1×) peers Xiaosen Guo

Countries citing papers authored by Zane Colaric

Since Specialization

Citations

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

Fields of papers citing papers by Zane Colaric

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zane Colaric

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

All Works

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3 of 3 papers shown

1.

Durand, Neva C., Namita Mitra, Zane Colaric, et al.. (2023). A rapid, low-cost, and highly sensitive SARS-CoV-2 diagnostic based on whole-genome sequencing. PLoS ONE. 18(11). e0294283–e0294283. 2 indexed citations

2.

Humble, Emily, Pavel Dobrynin, Helen Senn, et al.. (2020). Chromosomal‐level genome assembly of the scimitar‐horned oryx: Insights into diversity and demography of a species extinct in the wild. Molecular Ecology Resources. 20(6). 1668–1681. 22 indexed citations

3.

Field, Matthew A., Benjamin D. Rosen, Olga Dudchenko, et al.. (2020). Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C. GigaScience. 9(4). 41 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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