Hunter Best

519 total citations
12 papers, 55 citations indexed

About

Hunter Best is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Hunter Best has authored 12 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in Hunter Best's work include Genomics and Rare Diseases (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Vascular Malformations and Hemangiomas (2 papers). Hunter Best is often cited by papers focused on Genomics and Rare Diseases (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Vascular Malformations and Hemangiomas (2 papers). Hunter Best collaborates with scholars based in United States and France. Hunter Best's co-authors include William B. Coleman, Rong Mao, David K. Crockett, Talia M. Muram, Kelli Sumner, Andrew W. Walter, Jeffrey Swensen, Brendan O’Fallon, Cecily P. Vaughn and Tracey Lewis and has published in prestigious journals such as Bioinformatics, Hepatology and BMC Bioinformatics.

In The Last Decade

Hunter Best

8 papers receiving 55 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hunter Best United States	5	22	17	17	10	10	12	55
Jonathan Sussman United States	5	25 1.1×	13 0.8×	8 0.5×	2 0.2×	5 0.5×	21	61
Sally Connolly United Kingdom	3	18 0.8×	4 0.2×	2 0.1×	6 0.6×	26 2.6×	4	51
Zvi Cramer United States	6	38 1.7×	9 0.5×	4 0.2×	1 0.1×	5 0.5×	7	61
Ioana Riaño Spain	2	14 0.6×	21 1.2×	15 0.9×	1 0.1×	32 3.2×	2	57
Nicholas Pirius United States	5	25 1.1×	33 1.9×	34 2.0×		8 0.8×	5	88
Joseph Meharg United States	3	11 0.5×	18 1.1×	4 0.2×	3 0.3×		5	59
Catherine Brewer United States	5	52 2.4×	33 1.9×	4 0.2×		38 3.8×	15	118
Kuang Lin United Kingdom	2	39 1.8×	12 0.7×		4 0.4×	14 1.4×	4	76
Gabriela Jones United Kingdom	6	33 1.5×	22 1.3×		4 0.4×	28 2.8×	14	85
Kristin Thorisdottir United States	4	16 0.7×	7 0.4×		5 0.5×	11 1.1×	5	75

Countries citing papers authored by Hunter Best

Since Specialization

Citations

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

Fields of papers citing papers by Hunter Best

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hunter Best

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

All Works

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12 of 12 papers shown

Zhang, Shulin, Harry Lesmana, J.S. Dungan, et al.. (2025). Venous thromboembolism laboratory testing (factor V Leiden and factor II c.∗97G>A), 2025 revision: A technical standard of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 27(8). 101466–101466.

O'shea, John, et al.. (2024). Sequencing Platforms. 7(1). 175–183.

O’Fallon, Brendan, et al.. (2024). Generative haplotype prediction outperforms statistical methods for small variant detection in next-generation sequencing data. Bioinformatics. 40(11).

Botas, Pablo, Christine E. Miller, Jian Zhao, et al.. (2023). Open-Source Artificial Intelligence System Supports Diagnosis of Mendelian Diseases in Acutely Ill Infants. Children. 10(6). 991–991. 2 indexed citations

O’Fallon, Brendan, et al.. (2022). Algorithmic improvements for discovery of germline copy number variants in next-generation sequencing data. BMC Bioinformatics. 23(1). 285–285. 5 indexed citations

Viollet, Louis, Kathryn J. Swoboda, Rong Mao, et al.. (2020). A novel pathogenic variant in DYNC1H1 causes various upper and lower motor neuron anomalies. European Journal of Medical Genetics. 63(12). 104063–104063. 5 indexed citations

Shen, Wei, et al.. (2020). Detecting mosaic variants in patients with somatic overgrowth syndromes using cell-free circulating DNA and deep sequencing. Journal of Medical Genetics. 57(11). 794–796. 3 indexed citations

Walter, Andrew W., et al.. (2013). Constitutional mismatch repair deficiency presenting in childhood as three simultaneous malignancies. Pediatric Blood & Cancer. 60(11). E135–E136. 10 indexed citations

Sumner, Kelli, Geneviève Pont-Kingdon, Andrew Wilson, et al.. (2012). Validation of an Unlabeled Probe Melting Analysis Assay Combined with High-Throughput Extractions for Genotyping of the Most Common Variants in HFE -Associated Hereditary Hemochromatosis, C282Y, H63D, and S65C. Genetic Testing and Molecular Biomarkers. 16(7). 656–660. 2 indexed citations

10.

Sumner, Kelli, et al.. (2011). The SPRED1 Variants Repository for Legius Syndrome. G3 Genes Genomes Genetics. 1(6). 451–456. 11 indexed citations

11.

Best, Hunter & William B. Coleman. (2007). Bile duct destruction by 4,4′-diaminodiphenylmethane does not block the small hepatocyte-like progenitor cell response in retrorsine-exposed rats. Hepatology. 46(5). 1611–1619. 17 indexed citations

12.

Best, Hunter. (1987). Nahrungsmittel und Migräne. Aktuelle Neurologie. 14(6). 179–181.

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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