Mia Williams

2.0k total citations
3 papers, 3 citations indexed

About

Mia Williams is a scholar working on Archeology, Paleontology and Genetics. According to data from OpenAlex, Mia Williams has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Archeology, 1 paper in Paleontology and 1 paper in Genetics. Recurrent topics in Mia Williams's work include Paleopathology and ancient diseases (1 paper), Historical, Religious, and Philosophical Studies (1 paper) and Forensic and Genetic Research (1 paper). Mia Williams is often cited by papers focused on Paleopathology and ancient diseases (1 paper), Historical, Religious, and Philosophical Studies (1 paper) and Forensic and Genetic Research (1 paper). Mia Williams collaborates with scholars based in United Kingdom. Mia Williams's co-authors include Don D. Walker, Thomas J. Booth, Marina Silva, Michael Henderson, Thomas Booth, Christopher Barrington, Janet Montgomery, Kyriaki Anastasiadou, I. D. Hill and Pontus Skoglund and has published in prestigious journals such as Current Biology and Britannia.

In The Last Decade

Mia Williams

1 paper receiving 1 citation

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mia Williams United Kingdom	2	1	1	1	1	1	3	3
Muhammad Nauman Akhtar United Kingdom	1						3	2
Ekin Reyhan Germany	2						3	2
Martina Adamo Spain	2						3	3
Abdul Nasimudeen United Kingdom	2						4	2
David Hunter United Kingdom	2						4	3
Gulsum Gudukbay Akbulut United States	2						5	2
J. Dong China	1						2	2
Suzanne Krizak United Kingdom	2				1 1.0×		4	4
R. H. Mathews Australia	1						2	2
Claire Wegel United States	2						2	4

Countries citing papers authored by Mia Williams

Since Specialization

Citations

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

Fields of papers citing papers by Mia Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Mia Williams. A scholar is included among the top collaborators of Mia 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 Mia Williams. Mia 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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3 of 3 papers shown

1.

Hill, I. D., Thomas J. Booth, Kyriaki Anastasiadou, et al.. (2024). Environmental analysis. 107. 37–41.

2.

Redfern, Rebecca, et al.. (2023). Correction to Redfern et al. (2017) ‘Written in Bone’: New Discoveries about the Lives of Roman Londoners, Britannia 48, 253–77. Britannia. 54. 327–331. 1 indexed citations

3.

Silva, Marina, Thomas Booth, Kyriaki Anastasiadou, et al.. (2023). An individual with Sarmatian-related ancestry in Roman Britain. Current Biology. 34(1). 204–212.e6. 2 indexed citations

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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