R. Williams

1.1k citations
6 papers · 814 indexed · 1 hit paper · h-index 5
Topics
Tuberculosis Research and Epidemiology (3 papers)Mycobacterium research and diagnosis (2 papers)Infectious Diseases and Tuberculosis (1 paper)

In The Last Decade

R. Williams

5 papers receiving 742 citations

Hit Papers

Global Trends in Resistance to Antituberculosis Drugs20012026200920172001100200300400500

Peers

R. Williams
Comparison fields: 5 of 101
  • Infectious Diseases 502
  • Epidemiology 456
  • Surgery 242
  • Endocrinology, Diabetes and Metabolism 156
  • Molecular Biology 104
Replace Peter Jensen with:
Peter Jensen United States
Mondira Bhattacharya United States
George Thomson United Kingdom
Soo-Hee Hwang South Korea
Yaw Ampem Amoako Ghana
Ernesto Palazzini Italy
Meghan A. Baker United States
Muhammad Abdur Rahim Bangladesh
Natsuo Tachikawa Japan
Tiziana Quirino Italy
R. Williams relative to Peter Jensen United States Peter Jensen's profile →
Citations per field
00.5×1.5×2.5×
Peter Jensen · 1×
Citations per year

Countries citing papers authored by R. Williams

Since Specialization
Citations

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

Fields of papers citing papers by R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of R. Williams. A scholar is included among the top collaborators of R. 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 R. Williams. R. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 226
2
Global Trends in Resistance to Antituberculosis Drugsbreakdown →
519
3
Anti-tuberculosis Drug Resistance in the World: Report no. 2: Prevalence and Trends
38
4 5
5 25
6
Bacteroides; incidence and studies on 100 isolations.
1

About R. Williams

R. Williams is a scholar working on Infectious Diseases, Clinical Biochemistry and Small Animals, having authored 6 papers that have together received 814 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (2 papers) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Infectious Diseases (502 citations), Epidemiology (456 citations) and Endocrinology, Diabetes and Metabolism (156 citations). R. Williams has collaborated with scholars based in United Kingdom, South Korea and Sweden. Frequent co-authors include Sven Hoffner, F Boulahbal, Ana Reniero, Sang‐Jae Kim, Hans L. Rieder, Christopher Dye, Lone Simonsen, Marcos Espinal, A László and Nancy Binkin. Their work appears in journals such as New England Journal of Medicine, Health Technology Assessment and The Journal of Antibiotics.

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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