Alison May

48 papers receiving 1.2k citations

Peers

Alison May
Comparison fields: 5 of 90
  • Hematology 529
  • Genetics 456
  • Rheumatology 289
  • Nutrition and Dietetics 210
  • Clinical Biochemistry 84
Replace John Old with:
John Old United Kingdom
Christina Fagerberg Denmark
Diedra M. Wrighting United States
Giuseppe Calabrese Italy
Pratibha Nair United Arab Emirates
Jeffrey S. Friedman United States
François Châtelet France
Mieke Aldenhoven Netherlands
Patrizia Colapietro Italy
Cheryl L. Hardy United States
Alison May relative to John Old United Kingdom John Old's profile →
Citations per field
00.5×10.5×
John Old · 1×
Citations per year

Countries citing papers authored by Alison May

Since Specialization
Citations

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

Fields of papers citing papers by Alison May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002150
2 201381
3 201481
4 199575
5 200073
6 199969
7 200264
8 200159
9
The molecular biology and pyridoxine responsiveness of X-linked sideroblastic anaemia.
199858
10 202050
11 200949
12 200341
13 201139
14 201629
15 199429
16 198325
17 198221
18 199021
19 199619
20 200218

About Alison May

Alison May is a scholar working on Molecular Biology, Rheumatology, Hematology, Pediatrics, Perinatology and Child Health and Genetics, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (21 papers), Folate and B Vitamins Research (17 papers), Hemoglobinopathies and Related Disorders (13 papers), Neonatal Health and Biochemistry (12 papers), Iron Metabolism and Disorders (9 papers), Metabolism and Genetic Disorders (4 papers), Trace Elements in Health (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Hematology (529 citations), Genetics (456 citations), Rheumatology (289 citations), Nutrition and Dietetics (210 citations) and Clinical Biochemistry (84 citations). Alison May has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David F. Bishop, Edward J. Fitzsimons, Mark Worwood, Mario Cazzola, Philip D. Cotter, Vinod Devalia, James Dooley, Ayesha Al‐Sabah, Stephen J. Perkins and Ann P. Walker. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Medical Genetics, BioMetals and European Journal Of Haematology.

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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