William Seffens

582 citations
21 papers · 437 · h-index 11

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

William Seffens

20 papers receiving 405 citations

Peers

William Seffens
Comparison fields: 5 of 122
  • Molecular Biology 265
  • Pollution 40
  • Human-Computer Interaction 11
  • Cancer Research 30
  • Archeology 2
Replace Sarah Oehlschlager with:
Sarah Oehlschlager United Kingdom
An Phan Germany
Sicong Li China
T. Murlidharan Nair United States
András Hartmann Portugal
Dimitris Christodoulou Switzerland
Adriano Velasque Werhli Brazil
Shannon Bell United States
Edward Wu Hong Kong
Rajesh Chowdhary United States
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Citations per field
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Citations per year

Countries citing papers authored by William Seffens

Since Specialization
Citations

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

Fields of papers citing papers by William Seffens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside William Seffens, 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 Seffens Line = papers co-authored together William Seffens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999166
2 199966
3 199556
4 199039
5 199818
6 201817
7 201514
8 199813
9 201412
10 201612
11 201410
12 20163
13 19992
14 20152
15 20062
16
Graph Theory Patterns in the Genetic Codes
20031
17 20161
18 20171
19 20021
20 20171

About William Seffens

William Seffens is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics and Human-Computer Interaction, having authored 21 papers that have together received 437 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers), Human Pose and Action Recognition (3 papers), Evolutionary Algorithms and Applications (2 papers), Hand Gesture Recognition Systems (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (265 citations), Pollution (40 citations), Human-Computer Interaction (11 citations), Cancer Research (30 citations) and Archeology (2 citations). William Seffens has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Walter Mulbry, Ziyu Shao, R. M. Behki, Gilbert White, H. Dayton Wilde, Concepción Almoguera, Terry L. Thomas, Xuebiao Yao, Felix Aikhionbare and Edward E. Partridge. Their work appears in journals such as Medicine & Science in Sports & Exercise, Journal of Bacteriology, International Journal of Molecular Sciences, Bioinformatics and Biology Insights and BioMed Research International.

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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