A. J. Williams

16 total papers · 1.6k total citations
9 papers, 1.0k citations indexed

About

A. J. Williams is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, A. J. Williams has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in A. J. Williams's work include Viral Infections and Immunology Research (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Viral Infections and Outbreaks Research (3 papers). A. J. Williams is often cited by papers focused on Viral Infections and Immunology Research (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Viral Infections and Outbreaks Research (3 papers). A. J. Williams collaborates with scholars based in United States, Democratic Republic of the Congo and Belgium. A. J. Williams's co-authors include David S. Bressler, Alexander K. Rowe, Pierre E. Rollin, Ali S. Khan, Antonio Pérez Sánchez, C. J. Peters, Jeanne Bertolli, Thomas G. Ksiazek, Luis L. Rodrı́guez and Stuart T. Nichol and has published in prestigious journals such as The Journal of Infectious Diseases, Virology and Journal of General Virology.

In The Last Decade

A. J. Williams

9 papers receiving 954 citations

Author Peers

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

Author						Papers	Cites
A. J. Williams	916	296	284	214	115	9	1.0k
Stephan Ölschläger	764 0.8×	175 0.6×	26 0.1×	306 1.4×	52 0.5×	22	911
Caroline Carbonnelle	781 0.9×	115 0.4×	35 0.1×	315 1.5×	48 0.4×	17	1.1k
Stephanie Wurr	672 0.7×	101 0.3×	67 0.2×	275 1.3×	15 0.1×	15	892
Lok‐Yee So	795 0.9×	67 0.2×	254 0.9×	701 3.3×	47 0.4×	10	1.2k
Werner Wunderli	406 0.4×	30 0.1×	125 0.4×	616 2.9×	42 0.4×	23	968
Dena Adachi	753 0.8×	50 0.2×	25 0.1×	381 1.8×	157 1.4×	14	1.1k
Arnold S. Monto	245 0.3×	32 0.1×	47 0.2×	818 3.8×	95 0.8×	6	953
Kenneth J. Mutton	381 0.4×	25 0.1×	108 0.4×	667 3.1×	24 0.2×	26	912
Poh‐Sim Hooi	626 0.7×	14 0.0×	134 0.5×	508 2.4×	32 0.3×	19	1.1k
Richard D. Clover	341 0.4×	29 0.1×	75 0.3×	820 3.8×	31 0.3×	25	1.1k

Countries citing papers authored by A. J. Williams

Since Specialization

Citations

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

Fields of papers citing papers by A. J. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. Williams

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