David Whyatt

1.1k citations
30 papers · 656 · h-index 13

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Erythropoietin and Anemia Treatment

Papers in

David Whyatt

30 papers receiving 629 citations

Peers

David Whyatt
Comparison fields: 5 of 102
  • Genetics 149
  • Hematology 114
  • Modeling and Simulation 29
  • General Dentistry 2
  • Molecular Biology 241
Replace Fábio Morato de Oliveira with:
Fábio Morato de Oliveira Brazil
Matthew Thomas United States
Noel Estrada‐Merly United States
Young-Sook Lee South Korea
John W. Edmunds United Kingdom
Andrea Piccinini Italy
Gordon J. Hildick-Smith United States
Paolo Fattorini Italy
Prawase Wasi Thailand
Tulio Arends Venezuela
David Whyatt relative to Fábio Morato de Oliveira Brazil Fábio Morato de Oliveira's profile →
Citations per field
00.5×2×2.8×
Fábio Morato de Oliveira · 1×
Citations per year

Countries citing papers authored by David Whyatt

Since Specialization
Citations

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

Fields of papers citing papers by David Whyatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991111
2 1993103
3 200092
4 199756
5 201949
6 202129
7 202026
8 200421
9 201920
10 200919
11 200518
12 199014
13 202214
14 200212
15
Impact of structured education and self management on rural asthma outcomes.
201012
16 20069
17 20217
18 20145
19 20175
20 20175

About David Whyatt

David Whyatt is a scholar working on Genetics, Emergency Medicine, Economics and Econometrics, Hematology and Modeling and Simulation, having authored 30 papers that have together received 656 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Emergency and Acute Care Studies (4 papers), Genomics and Chromatin Dynamics (4 papers), Chronic Disease Management Strategies (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer-related Molecular Pathways (2 papers) and Statistical Methods in Epidemiology (2 papers). The work is most often cited by research in Genetics (149 citations), Hematology (114 citations), Modeling and Simulation (29 citations), General Dentistry (2 citations) and Molecular Biology (241 citations). David Whyatt has collaborated with scholars based in Australia and Netherlands. Frequent co-authors include Frank G. Grosveld, Sjaak Philipsen, Ernie deBoer, Olivia Hanscombe, S. Pruzina, Berwin A. Turlach, Alar Karis, Kevin J. Murray, Alistair W. Vickery and An Langeveld. Their work appears in journals such as Emergency Medicine Australasia, International Journal of Environmental Research and Public Health, International Journal of Health Geographics, Medical Care and Australian Geographer.

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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