Amy L. Williams

80 total papers · 8.1k total citations
31 papers, 653 citations indexed

About

Amy L. Williams is a scholar working on Genetics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Amy L. Williams has authored 31 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 10 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Amy L. Williams's work include Genetic Associations and Epidemiology (12 papers), Genetic and phenotypic traits in livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Amy L. Williams is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Genetic and phenotypic traits in livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Amy L. Williams collaborates with scholars based in United States, United Kingdom and Australia. Amy L. Williams's co-authors include Peter Shirley, R. Keith Morley, Thomas D. Dyer, Joanne E. Curran, John Blangero, Adam Siepel, Melissa J. Hubisz, David Reich, Donna M. Lehman and Ravindranath Duggirala and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Amy L. Williams

27 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amy L. Williams 368 202 46 37 37 31 653
Gary K. Chen 487 1.3× 232 1.1× 99 2.2× 13 0.4× 25 0.7× 26 772
Denise K. Liberton 225 0.6× 228 1.1× 9 0.2× 39 1.1× 38 1.0× 20 589
Evgeny Gladilin 48 0.1× 215 1.1× 174 3.8× 72 1.9× 113 3.1× 57 733
Jeong-Hyeon Choi 109 0.3× 356 1.8× 76 1.7× 13 0.4× 5 0.1× 23 577
Kees H. de Jong 173 0.5× 263 1.3× 51 1.1× 161 4.4× 15 0.4× 14 646
Lin Hou 194 0.5× 335 1.7× 30 0.7× 25 0.7× 6 0.2× 47 682
Junbo Duan 274 0.7× 305 1.5× 41 0.9× 20 0.5× 43 1.2× 41 778
Jiahua Wu 40 0.1× 325 1.6× 35 0.8× 6 0.2× 191 5.2× 32 719
Vincenza Colonna 311 0.8× 244 1.2× 44 1.0× 25 0.7× 6 0.2× 40 674
Martin Baiker 146 0.4× 194 1.0× 2 0.0× 59 1.6× 151 4.1× 27 600

Countries citing papers authored by Amy L. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Amy L. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy L. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Amy L. Williams. A scholar is included among the top collaborators of Amy L. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy L. Williams. Amy L. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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