Katie Williams

49 total papers · 739 total citations
26 papers, 351 citations indexed

About

Katie Williams is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Katie Williams has authored 26 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Neurology and 5 papers in Physiology. Recurrent topics in Katie Williams's work include Prion Diseases and Protein Misfolding (24 papers), Neurological diseases and metabolism (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Katie Williams is often cited by papers focused on Prion Diseases and Protein Misfolding (24 papers), Neurological diseases and metabolism (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Katie Williams collaborates with scholars based in United States, Italy and Germany. Katie Williams's co-authors include Brent Race, Bruce Chesebro, James A. Carroll, James F. Striebel, Andrew G. Hughson, Christina D. Orrú, Lori Lubke, Cathryn L. Haigh, Bradley R. Groveman and Simote T. Foliaki and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Virology.

In The Last Decade

Katie Williams

26 papers receiving 341 citations

Author Peers

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

Author						Papers	Cites
Katie Williams	297	189	75	35	27	26	351
A. Miki	155 0.5×	75 0.4×	34 0.5×	39 1.1×	69 2.6×	19	384
Alicia Otero	243 0.8×	80 0.4×	36 0.5×	52 1.5×	12 0.4×	35	309
Abdelraheim Attaai	79 0.3×	116 0.6×	32 0.4×	16 0.5×	72 2.7×	24	337
Xin‐Li Xiao	183 0.6×	116 0.6×	23 0.3×	48 1.4×	11 0.4×	27	339
Ειrini Kanata	192 0.6×	81 0.4×	33 0.4×	45 1.3×	12 0.4×	25	299
Patrick M. Long	136 0.5×	55 0.3×	125 1.7×	10 0.3×	34 1.3×	17	360
Jun Nagasao	100 0.3×	54 0.3×	45 0.6×	55 1.6×	15 0.6×	27	316
Jingyin Dong	104 0.4×	43 0.2×	39 0.5×	18 0.5×	41 1.5×	26	317
Hazel Quek	187 0.6×	120 0.6×	82 1.1×	12 0.3×	90 3.3×	21	402
Zahra Hejazi	203 0.7×	54 0.3×	57 0.8×	10 0.3×	61 2.3×	28	382

Countries citing papers authored by Katie Williams

Since Specialization

Citations

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

Fields of papers citing papers by Katie Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Katie Williams. A scholar is included among the top collaborators of Katie 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 Katie Williams. Katie 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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