Bryan C. Frank

4.6k citations
44 papers · 3.8k · h-index 29

Impact in

  • Catalysis top 5%
    • Catalysts for Methane Reforming
    • Catalysis and Oxidation Reactions
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Molecular Biology Techniques and Applications
    • Gut microbiota and health

Papers in

    • Gene expression and cancer classification 11
    • Molecular Biology Techniques and Applications 5
    • Bioinformatics and Genomic Networks 5
    • Genomics and Phylogenetic Studies 3
    • RNA Research and Splicing 3
    • Adipose Tissue and Metabolism 3

Bryan C. Frank

43 papers receiving 3.7k citations

Peers

Bryan C. Frank
Comparison fields: 5 of 145
  • Catalysis 273
  • Molecular Biology 2.3k
  • Cancer Research 250
  • Genetics 474
  • Aging 24
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Bryan C. Frank relative to Yanchang Wang United States Yanchang Wang's profile →
Citations per field
00.5×2×3.2×
Yanchang Wang · 1×
Citations per year

Countries citing papers authored by Bryan C. Frank

Since Specialization
Citations

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

Fields of papers citing papers by Bryan C. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan C. Frank. 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 Bryan C. Frank. The network helps show where Bryan C. Frank may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan C. Frank, 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 Bryan C. Frank Line = papers co-authored together Bryan C. Frank links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005687
2 2005359
3 2002282
4 2010221
5 2007187
6 2006180
7 2012132
8 2005130
9 2003127
10 2008105
11 200897
12 199996
13 200477
14 201376
15 200273
16 201173
17 200471
18 201565
19 201958
20 200653

About Bryan C. Frank

Bryan C. Frank is a scholar working on Molecular Biology, Physiology, Immunology, Genetics and Immunology and Allergy, having authored 44 papers that have together received 3.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Molecular Biology Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genomics and Phylogenetic Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), RNA Research and Splicing (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Catalysis (273 citations), Molecular Biology (2.3k citations), Cancer Research (250 citations), Genetics (474 citations) and Aging (24 citations). Bryan C. Frank has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include John D. Quackenbush, Norman H. Lee, Haralambos P. Gavras, Jennie E. Larkin, Răzvan Sultana, Hary Soerijanto, Truong V. Luu, Robert Schlögl, Reinhard Schomaecker and Rosalyn Irby. Their work appears in journals such as BMC Genomics, Physiological Genomics, PLoS ONE, Journal of Neuroscience and Genome biology.

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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