Mark Layton

3.0k citations
71 papers · 1.8k indexed · h-index 25

Mark Layton

68 papers receiving 1.8k citations

Peers

Mark Layton
Comparison fields: 5 of 104
  • Hematology 847
  • Genetics 562
  • Physiology 203
  • Pediatrics, Perinatology and Child Health 332
  • Immunology 276
Replace Won Park with:
Won Park South Korea
Susanna Ranta Finland
Harinder S. Juneja United States
Enrico M. Novelli United States
Janet van Adelsberg United States
Elizabeth M. Kudlacz United States
Cheryl A. Hillery United States
Dimitrios C. Ziogas Greece
Eben Tucker United States
Toby N. Trahair Australia
Mark Layton relative to Won Park South Korea Won Park's profile →
Citations per field
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Won Park · 1×
Citations per year

Countries citing papers authored by Mark Layton

Since Specialization
Citations

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

Fields of papers citing papers by Mark Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20228
2 202024
3 20164
4 201617
5 2012264
6 20113
7 200931
8 20049
9 20047
10 200483
11 20041
12
Characteristic changes in erythrocyte nucleotides in haemolytic anaemia with basophilic stippling of differing aetiology
19994
13 199830
14 19987
15 199753
16 19979
17 199529
18 199230
19 199034
20 19891

About Mark Layton

Mark Layton is a scholar working on Hematology, Genetics, Pediatrics, Perinatology and Child Health, Rheumatology and Physiology, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (25 papers), Erythrocyte Function and Pathophysiology (10 papers), Neonatal Health and Biochemistry (7 papers), Prenatal Screening and Diagnostics (7 papers), Acute Myeloid Leukemia Research (6 papers), Parvovirus B19 Infection Studies (6 papers), Iron Metabolism and Disorders (6 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Hematology (847 citations), Genetics (562 citations), Physiology (203 citations), Pediatrics, Perinatology and Child Health (332 citations) and Immunology (276 citations). Mark Layton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sally Hollis, Iain B. McInnes, Edward Keystone, JW Janssen, Herman Van den Berghe, H. Heimpel, B. Kubanek, J Lyons, Michael Buschle and E. Kleihauer. Their work appears in journals such as Blood, British Journal of Haematology, The Lancet Rheumatology, Annals of the Rheumatic Diseases and Journal of Pediatric Gastroenterology and Nutrition.

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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