A. Williams

416 citations
17 papers · 307 indexed · h-index 6

Impact in

    • Tuberculosis Research and Epidemiology
  • Nephrology top 10%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies

Papers in

A. Williams

16 papers receiving 300 citations

Peers

A. Williams
Comparison fields: 5 of 72
  • Infectious Diseases 179
  • Nephrology 51
  • Immunology 109
  • Epidemiology 105
  • Molecular Medicine 11
Replace Lew Barker with:
Lew Barker United States
Donatella Concetta Cibelli Italy
Benson J. Ouma United States
Andrea Steffens United States
Sandhya Nagarakanti United States
Iván Landires Panama
Palle Tauris Denmark
Yotam Shenhar Israel
Hubert Dumann Germany
A. Williams relative to Lew Barker United States Lew Barker's profile →
Citations per field
00.5×7.3×
Lew Barker · 1×
Citations per year

Countries citing papers authored by A. Williams

Since Specialization
Citations

This map shows the geographic impact of A. 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. 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. Williams more than expected).

Fields of papers citing papers by A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside A. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Williams Line = papers co-authored together A. Williams links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
How are countries supporting their health workers during COVID-19?
202019
2 201835
3 20171
4 20155
5 20142
6 20131
7 20130
8 20121
9 201025
10 2006187
11 20053
12 20031
13
The UK Renal Registry
20019
14 19981
15 19971
16 199011
17 19885

About A. Williams

A. Williams is a scholar working on Nephrology, Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Epidemiology, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Breast Lesions and Carcinomas (1 paper), Bone health and osteoporosis research (1 paper) and Takotsubo Cardiomyopathy and Associated Phenomena (1 paper). The work is most often cited by research in Infectious Diseases (179 citations), Nephrology (51 citations), Immunology (109 citations), Epidemiology (105 citations) and Molecular Medicine (11 citations). A. Williams has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Yann Bordat, Simon Clark, Carlos Martı́n, Carlos Y. Soto, Père-Joan Cardona, Rogélio Hernández‐Pando, Eamonn Gormley, D Aguilar, Gary E. Hatch and Nicholas Topley. Their work appears in journals such as Postgraduate Medical Journal, Bulletin of Entomological Research, Vaccine, Annals of the Rheumatic Diseases and Breast Cancer Research.

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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