Iván Williams

16 papers receiving 196 citations

Peers

Iván Williams
Comparison fields: 5 of 72
  • Complementary and alternative medicine 40
  • Rheumatology 55
  • Complementary and Manual Therapy 4
  • Hepatology 14
  • Orthopedics and Sports Medicine 15
Replace Joaquim Monteiro with:
Joaquim Monteiro Portugal
Noushin Bayat Iran
S T Thio Singapore
Behnam Shakiba Iran
Moa P. Lee United States
Rebecca‐Jane Law United Kingdom
Maureen Hunter United Kingdom
Yasuhisa Abe Japan
Halima Resić Bosnia and Herzegovina
Xiaohui Miao China
Iván Williams relative to Joaquim Monteiro Portugal Joaquim Monteiro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iván Williams

Since Specialization
Citations

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

Fields of papers citing papers by Iván Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iván 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 Iván Williams Line = papers co-authored together Iván Williams links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 198363
2 197132
3 196130
4 202320
5 198220
6 198818
7 198814
8 202211
9 198110
10 19839
11 19809
12 19766
13 20134
14 20223
15 20212
16 20252
17 20231
18 19780

About Iván Williams

Iván Williams is a scholar working on Rheumatology, Demography, General Health Professions, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 18 papers that have together received 254 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Hormonal and reproductive studies (1 paper), COVID-19 epidemiological studies (1 paper) and Pharmacology and Obesity Treatment (1 paper). The work is most often cited by research in Complementary and alternative medicine (40 citations), Rheumatology (55 citations), Complementary and Manual Therapy (4 citations), Hepatology (14 citations) and Orthopedics and Sports Medicine (15 citations). Iván Williams has collaborated with scholars based in United Kingdom, Argentina and United States. Frequent co-authors include Sam Shuster, Michael Shipley, M. N. Eade, Michael G. Jenkins, W. T. Cooke, Diego Alburez‐Gutierrez, Hal Caswell, E.Mary Baylis, H Berry and J. English. Their work appears in journals such as The Lancet, Proceedings of the National Academy of Sciences, Scandinavian Journal of Rheumatology, European Journal of Clinical Pharmacology and Journal of the Royal Society of Medicine.

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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