Chad Huff

1.1k total citations
11 papers, 495 citations indexed

About

Chad Huff is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chad Huff has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Chad Huff's work include Genomics and Phylogenetic Studies (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genomics and Rare Diseases (2 papers). Chad Huff is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genomics and Rare Diseases (2 papers). Chad Huff collaborates with scholars based in United States, China and Poland. Chad Huff's co-authors include Lynn B. Jorde, Jinchuan Xing, Hao Hu, Yuhua Zhang, Ewen F. Kirkness, Kyudong Han, Mark A. Batzer, Samuel Lévy, Abdel Halim Salem and Qiong Zhou and has published in prestigious journals such as Blood, Nature Biotechnology and PLoS ONE.

In The Last Decade

Chad Huff

10 papers receiving 488 citations

Peers

Chad Huff

MB

GENET

PS

CR

PRM

Stephanie Dallaire United States

Mayank Choudhary United States

Young Kim South Korea

Claire Marchal France

Ja-Rang Lee South Korea

Pauline A. Fujita United States

Karin Schwarzbauer Austria

Júlia Baptista United Kingdom

Chee Seng Ku Sweden

Steven Schonberg United States

Stephanie Dallaire United States

Chad Huff

274 ×0.8

MB

476 ×2.3

GENET

157 ×0.9

PS

69 ×1.3

CR

19 ×0.6

PRM

Citations per year, relative to Chad Huff Chad Huff (= 1×) peers Stephanie Dallaire

Countries citing papers authored by Chad Huff

Since Specialization

Citations

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

Fields of papers citing papers by Chad Huff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Huff

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

All Works

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11 of 11 papers shown

1.

Kerr, A., Mark Whiteside, Chad Huff, et al.. (2023). Dengue Outbreak Response during COVID-19 Pandemic, Key Largo, Florida, USA, 2020. Emerging infectious diseases. 29(8). 1643–1647. 10 indexed citations

2.

Hu, Fulan, Yao Yu, Jiun‐Sheng Chen, et al.. (2020). Integrated case-control and somatic-germline interaction analyses of soft-tissue sarcoma. Journal of Medical Genetics. 58(3). 145–153. 1 indexed citations

3.

Chang, Kyle, Smruthy Sivakumar, Yao Yu, et al.. (2019). Large-scale analysis of acquired chromosomal alterations in non-tumor samples from patients with cancer. Nature Biotechnology. 38(1). 90–96. 30 indexed citations

4.

Adam, Liana, F. Anthony San Lucas, Richard Fowler, et al.. (2018). DNA Sequencing of Small Bowel Adenocarcinomas Identifies Targetable Recurrent Mutations in the ERBB2 Signaling Pathway. Clinical Cancer Research. 25(2). 641–651. 19 indexed citations

5.

Flygare, Steven, Edgar J. Hernández, Lon Phan, et al.. (2018). The VAAST Variant Prioritizer (VVP): ultrafast, easy to use whole genome variant prioritization tool. BMC Bioinformatics. 19(1). 57–57. 25 indexed citations

6.

Staples, Jeffrey, David J. Witherspoon, Lynn B. Jorde, et al.. (2016). PADRE: Pedigree-Aware Distant-Relationship Estimation. The American Journal of Human Genetics. 99(1). 154–162. 25 indexed citations

7.

Tashi, Tsewang, N. Scott Reading, Anna Shestakova, et al.. (2015). Tibetan Gain-of-Function Variant of Prolyl Hydroxylase 2 (EGLN1) and Selected SNPs of HIF-2-Alpha (EPAS1) Are Associated with Lower Hemoglobin Values in Tibetans. Blood. 126(23). 3332–3332.

8.

Brown, Eric L., Jennifer E. Below, Rebecca S. B. Fischer, et al.. (2015). Genome-Wide Association Study of Staphylococcus aureus Carriage in a Community-Based Sample of Mexican-Americans in Starr County, Texas. PLoS ONE. 10(11). e0142130–e0142130. 18 indexed citations

9.

Hu, Hao & Chad Huff. (2013). DETECTING STATISTICAL INTERACTION BETWEEN SOMATIC MUTATIONAL EVENTS AND GERMLINE VARIATION FROM NEXT-GENERATION SEQUENCE DATA. PubMed. 51–62. 5 indexed citations

10.

Yandell, Mark, Chad Huff, Hao Hu, et al.. (2011). A probabilistic disease-gene finder for personal genomes. Genome Research. 21(9). 1529–1542. 138 indexed citations

11.

Xing, Jinchuan, Yuhua Zhang, Kyudong Han, et al.. (2009). Mobile elements create structural variation: Analysis of a complete human genome. Genome Research. 19(9). 1516–1526. 224 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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