William E. Frank

651 citations
14 papers · 265 · h-index 7

Impact in

    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Race, Genetics, and Society

Papers in

    • Molecular Biology Techniques and Applications 3
    • Forensic and Genetic Research 3
    • Race, Genetics, and Society 2

William E. Frank

14 papers receiving 248 citations

Peers

William E. Frank
Comparison fields: 5 of 63
  • Genetics 148
  • Sensory Systems 16
  • Neurology 25
  • Molecular Biology 140
  • Cellular and Molecular Neuroscience 37
Replace Rita Teek with:
Rita Teek Estonia
Benjamin Currall United States
Andrew Dahl United States
Paul W. Hook United States
Martina Broghammer Germany
Babett Heye Germany
Marc A. Willaredt Germany
M. Patel United States
Giulia Pregno Italy
Jingkuan Wei China
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by William E. Frank

Since Specialization
Citations

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

Fields of papers citing papers by William E. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside William E. 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 William E. Frank Line = papers co-authored together William E. Frank links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013107
2 199956
3 200127
4 197018
5 200814
6 198610
7 19987
8 19966
9 20004
10 20064
11 19994
12 19824
13 19963
14 19971

About William E. Frank

William E. Frank is a scholar working on Molecular Biology, Genetics, Mechanical Engineering, Civil and Structural Engineering and Neurology, having authored 14 papers that have together received 265 indexed citations. Recurring topics across this work include Forensic and Genetic Research (3 papers), Molecular Biology Techniques and Applications (3 papers), Race, Genetics, and Society (2 papers), Drilling and Well Engineering (2 papers), Induction Heating and Inverter Technology (2 papers), Hereditary Neurological Disorders (1 paper), Bone health and osteoporosis research (1 paper) and Multilevel Inverters and Converters (1 paper). The work is most often cited by research in Genetics (148 citations), Sensory Systems (16 citations), Neurology (25 citations), Molecular Biology (140 citations) and Cellular and Molecular Neuroscience (37 citations). William E. Frank has collaborated with scholars based in United States, Lithuania and United Kingdom. Frequent co-authors include Cynthia J. Sprecher, Jonelle M. Thompson, Patricia M. Fulmer, Daniela Koehler, Dawn R. Rabbach, Douglas R. Storts, Margaret J. Kovach, Jing‐Ping Lin, Virginia Kimonis and David A. Gelber. Their work appears in journals such as Journal of Forensic Sciences, Forensic Science International Genetics, The American Journal of Human Genetics, IEEE Transactions on Magnetics and Genetics in Medicine.

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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