Liam Williams

832 citations
21 papers · 702 · h-index 13

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Mitochondrial Function and Pathology 3
    • Animal Genetics and Reproduction 2

Liam Williams

20 papers receiving 654 citations

Peers

Liam Williams
Comparison fields: 5 of 89
  • Biotechnology 165
  • Sensory Systems 85
  • Nutrition and Dietetics 101
  • Cellular and Molecular Neuroscience 114
  • Molecular Biology 371
Replace Neal S. Burke with:
Neal S. Burke United States
Veena Khanna India
J. Rubio Spain
Franck Talmont France
Rosemary S. Mummery United Kingdom
Jorge Muschietti Argentina
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Citations per field
00.5×5.3×
Neal S. Burke · 1×
Citations per year

Countries citing papers authored by Liam Williams

Since Specialization
Citations

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

Fields of papers citing papers by Liam Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liam Williams, 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 Liam Williams Line = papers co-authored together Liam Williams 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 2003137
2 1990103
3 199887
4 201375
5 199361
6 198954
7 199540
8 200937
9 199617
10 200016
11 201915
12 201414
13 199513
14 19929
15 20146
16 20116
17 20164
18 19944
19 19942
20 20142

About Liam Williams

Liam Williams is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cellular and Molecular Neuroscience and Ecology, having authored 21 papers that have together received 702 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (3 papers), Enzyme Production and Characterization (3 papers), Marine animal studies overview (2 papers), Animal Genetics and Reproduction (2 papers), Olfactory and Sensory Function Studies (2 papers) and Marine and coastal plant biology (2 papers). The work is most often cited by research in Biotechnology (165 citations), Sensory Systems (85 citations), Nutrition and Dietetics (101 citations), Cellular and Molecular Neuroscience (114 citations) and Molecular Biology (371 citations). Liam Williams has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Donald R. Love, Peter L. Bergquist, David J. Saul, Larry Chamley, Brent R. Copp, Franz B. Pichler, Andrew Dodd, Sophie Laurenson, Rosalind A. Reeves and Richard L. M. Faull. Their work appears in journals such as Applied and Environmental Microbiology, Animal Genetics, Nature Biotechnology, Clinical Breast Cancer and Neuroscience.

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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