Amy L. Williams

7.9k citations
32 papers · 661 indexed · h-index 16
Topics
Genetic Associations and Epidemiology (12 papers)Genetic and phenotypic traits in livestock (7 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Amy L. Williams

27 papers receiving 634 citations

Peers

Amy L. Williams
Comparison fields: 5 of 123
  • Genetics 371
  • Molecular Biology 206
  • Plant Science 46
  • Surgery 37
  • Computer Vision and Pattern Recognition 37
Replace Chengfeng Zhao with:
Chengfeng Zhao China
Jerry Liu United States
Mahmut Şamil Sağıroğlu Türkiye
Kangcheng Hou United States
John O. Woods United States
John Cassella United Kingdom
Simone Rubinacci Switzerland
David F. Wiley United States
Warren Cheung Canada
Lidia Carotenuto Italy
Amy L. Williams relative to Chengfeng Zhao China Chengfeng Zhao's profile →
Citations per field
00.5×1.5×1.9×
Chengfeng Zhao · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 3
6 5
7 4
8 65
9 14
10 0
11 18
12 40
13 23
14 8
15 56
16 69
17 68
18 48
19
DISTRIBUTION AND PREVALENCE OF ELAEOPHORA SCHNEIDERI IN MOOSE IN WYOMING
10
20 17

About Amy L. Williams

Amy L. Williams is a scholar working on Computer Graphics and Computer-Aided Design, Genetics and Visual Arts and Performing Arts, having authored 32 papers that have together received 661 indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (371 citations), Computer Graphics and Computer-Aided Design (28 citations) and Complementary and Manual Therapy (7 citations). Amy L. Williams has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Peter Shirley, R. Keith Morley, Adam Siepel, Melissa J. Hubisz, Joanne E. Curran, John Blangero, Thomas D. Dyer, David Reich, Donna M. Lehman and Ravindranath Duggirala. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Bioinformatics.

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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