Fiona Williams

76 papers receiving 2.3k citations

Peers

Fiona Williams
Comparison fields: 5 of 163
  • Applied Microbiology and Biotechnology 208
  • Endocrine and Autonomic Systems 344
  • Pediatrics, Perinatology and Child Health 779
  • Endocrinology, Diabetes and Metabolism 585
  • Obstetrics and Gynecology 172
Replace Anwar Batieha with:
Anwar Batieha Jordan
William J. Hueston United States
Vanessa A. Díaz United States
Catherine Bennett Australia
Stephen C. Alder United States
Tor A. Strand Norway
Avi Porath Israel
Roger Zoorob United States
Homero Martı́nez Mexico
Alan Geater Thailand
Fiona Williams relative to Anwar Batieha Jordan Anwar Batieha's profile →
Citations per field
00.5×10.4×
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Citations per year

Countries citing papers authored by Fiona Williams

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20181
2 201824
3 2010186
4 200657
5 200546
6 200567
7 200444
8 200494
9 200416
10 200222
11 20013
12 20017
13 200015
14 199925
15 199826
16 199843
17 19909
18 19893
19
Mortality from nonmalignant respiratory diseases in Scotland between 1959 and 1983
19871
20
Congenital iodide goitre -- a continuing iatrogenic problem.
19773

About Fiona Williams

Fiona Williams is a scholar working on Endocrine and Autonomic Systems, Applied Microbiology and Biotechnology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (17 papers), Thyroid Disorders and Treatments (13 papers), Neuroscience of respiration and sleep (12 papers), Neonatal Respiratory Health Research (10 papers), Air Quality and Health Impacts (5 papers), Metabolism and Genetic Disorders (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (208 citations), Endocrine and Autonomic Systems (344 citations), Pediatrics, Perinatology and Child Health (779 citations), Endocrinology, Diabetes and Metabolism (585 citations) and Obstetrics and Gynecology (172 citations). Fiona Williams has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include O L Lloyd, Robert Hume, Theo J. Visser, Simon Ogston, Hans van Toor, Dilip Nathwani, Peter Davey, Andrew Lawson, Andrew B. Lawson and Caroline Delahunty. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Occupational and Environmental Medicine, Public Health, Journal of Perinatal Medicine and Medical Teacher.

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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