Jonathan E Shaw

14.3k citations
12 papers · 200 · h-index 5

Impact in

Papers in

Jonathan E Shaw

11 papers receiving 188 citations

Peers

Jonathan E Shaw
Comparison fields: 5 of 55
  • Pediatrics, Perinatology and Child Health 67
  • Obstetrics and Gynecology 25
  • Nephrology 17
  • Endocrinology, Diabetes and Metabolism 30
  • Health 10
Replace Gert van Montfrans with:
Gert van Montfrans Netherlands
Shehla Baqai Pakistan
Lina Ahmed Qatar
Judith Pousada Brazil
Lynne Wagenknecht United States
Erin Rademacher United States
Chiara Di Gravio United States
Shambhavi Mishra India
Amelie Kurnikowski Austria
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan E Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E Shaw. 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 Jonathan E Shaw. The network helps show where Jonathan E Shaw may publish in the future.

Co-authors

The 22 scholars most cited alongside Jonathan E Shaw, 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 Jonathan E Shaw Line = papers co-authored together Jonathan E Shaw links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200782
2 200745
3 200830
4 200727
5 20064
6 20083
7 20073
8 20082
9 20072
10
Demography of the UK Paediatric Renal Replacement Therapy population in 2008.
20101
11
CORRELATION BETWEEN 24-HOUR AND SPOT/VOID URINE SAMPLES FOR THE PURPOSE OF POPULATION SALT INTAKE ASSESSMENT
20131
12 20190

About Jonathan E Shaw

Jonathan E Shaw is a scholar working on Pediatrics, Perinatology and Child Health, Nephrology, Rehabilitation, Control and Systems Engineering and Hardware and Architecture, having authored 12 papers that have together received 200 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Obesity, Physical Activity, Diet (1 paper), Integrated Circuits and Semiconductor Failure Analysis (1 paper), VLSI and Analog Circuit Testing (1 paper), Simulation and Modeling Applications (1 paper), Wound Healing and Treatments (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Assisted Reproductive Technology and Twin Pregnancy (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (67 citations), Obstetrics and Gynecology (25 citations), Nephrology (17 citations), Endocrinology, Diabetes and Metabolism (30 citations) and Health (10 citations). Jonathan E Shaw has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Wendy E. Hoy, Srinivas Kondalsamy‐Chennakesavan, Zhiqiang Wang, Steven J. Chadban, Esther M. Briganti, Kevan R. Polkinghorne, Helen Healy, Issa Al Salmi, Glenda C. Gobé and Elizabeth Barr. Their work appears in journals such as Early Human Development, Diabetes Care, Emergency Medicine Journal, American Journal of Kidney Diseases and Pediatric Diabetes.

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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