S.W.B. Newsom is a scholar working on Infectious Diseases, Epidemiology and Pharmacology.
According to data from OpenAlex, S.W.B. Newsom has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 17 papers in Epidemiology and 14 papers in Pharmacology. Recurrent topics in S.W.B. Newsom's work include Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Antibiotic Resistance in Bacteria (9 papers). S.W.B. Newsom is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Antibiotic Resistance in Bacteria (9 papers). S.W.B. Newsom collaborates with scholars based in United Kingdom and United States. S.W.B. Newsom's co-authors include Julie Matthews, F C Wells, C.J.L. Strachan, N. P. J. Walker, Anita Rampling, Amy Caldwell, Marc Shaw, G.A.J. Ayliffe, J.R. Babb and M. H. Richmond and has published in prestigious journals such as The Lancet, Journal of Bacteriology and Thorax.
In The Last Decade
S.W.B. Newsom
78 papers
receiving
1.4k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Tuberculosis. Clinical diagnosis and management of tuberculosis and measures for its prevention and control
2006498 citationsS.W.B. NewsomJournal of Hospital Infectionprofile →
This map shows the geographic impact of S.W.B. Newsom'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 S.W.B. Newsom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.W.B. Newsom more than expected).
This network shows the impact of papers produced by S.W.B. Newsom. 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 S.W.B. Newsom. The network helps show where S.W.B. Newsom may publish in the future.
Co-authorship network of co-authors of S.W.B. Newsom
This figure shows the co-authorship network connecting the top 25 collaborators of S.W.B. Newsom.
A scholar is included among the top collaborators of S.W.B. Newsom 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 S.W.B. Newsom. S.W.B. Newsom is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.