Chad Huff

1.1k citations
11 papers · 495 · h-index 8

Impact in

  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer

Papers in

    • Genomics and Phylogenetic Studies 4
    • Genomic variations and chromosomal abnormalities 3
    • Genetic Associations and Epidemiology 2
    • Genomics and Rare Diseases 2
    • Evolution and Genetic Dynamics 1

Chad Huff

10 papers receiving 488 citations

Peers

Chad Huff
Comparison fields: 5 of 68
  • Genetics 210
  • Molecular Biology 334
  • Plant Science 167
  • Cancer Research 54
  • Gastroenterology 10
Replace Young Kim with:
Young Kim South Korea
Chee Seng Ku Sweden
Katja Horvay Australia
Miyono Hendrix United States
Sonja Schneider-Rasp Germany
Stephanie Dallaire United States
Mayank Choudhary United States
Claire Marchal France
Yuanfang Zhu China
Pauline A. Fujita United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Chad Huff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chad Huff Line = papers co-authored together Chad Huff links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2009224
2 2011138
3 201930
4 201825
5 201625
6 201819
7 201518
8 202310
9 20135
10 20201
11 20150

About Chad Huff

Chad Huff is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Epidemiology, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers), Genomics and Rare Diseases (2 papers), Evolution and Genetic Dynamics (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Genetics (210 citations), Molecular Biology (334 citations), Plant Science (167 citations), Cancer Research (54 citations) and Gastroenterology (10 citations). Chad Huff has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Lynn B. Jorde, Jinchuan Xing, Hao Hu, Yuhua Zhang, Abdel Halim Salem, Qiong Zhou, Mark A. Batzer, Shurjo K. Sen, Ewen F. Kirkness and Kyudong Han. Their work appears in journals such as Genome Research, Clinical Cancer Research, The American Journal of Human Genetics, BMC Bioinformatics and Journal of Medical Genetics.

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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