May‐Jean King

1.2k citations
18 papers · 823 · h-index 11

Impact in

  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

May‐Jean King

18 papers receiving 794 citations

Peers

May‐Jean King
Comparison fields: 5 of 61
  • Physiology 622
  • Genetics 182
  • Hematology 172
  • Pediatrics, Perinatology and Child Health 219
  • Pulmonary and Respiratory Medicine 235
Replace RP Hebbel with:
RP Hebbel United States
M.‐J. King United Kingdom
RS Schwartz United States
Neil M. Matsui United States
Manuela Zappa Italy
Sip Dinkla Netherlands
VK Kalra United States
Leonie Frauenfeld Germany
NF Olivieri Canada
Lidiane S. Torres Brazil
May‐Jean King relative to RP Hebbel United States RP Hebbel's profile →
Citations per field
00.5×10×16.5×
RP Hebbel · 1×
Citations per year

Countries citing papers authored by May‐Jean King

Since Specialization
Citations

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

Fields of papers citing papers by May‐Jean King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011245
2 2000140
3 2005115
4 200380
5 200856
6 200042
7 199435
8 201427
9 199422
10 200822
11 199810
12 20149
13 19808
14 20004
15 20153
16 20192
17 20142
18 19911

About May‐Jean King

May‐Jean King is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Hematology, Molecular Biology and Genetics, having authored 18 papers that have together received 823 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (15 papers), Blood properties and coagulation (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood groups and transfusion (5 papers), Neonatal Health and Biochemistry (4 papers), Glycosylation and Glycoproteins Research (3 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Physiology (622 citations), Genetics (182 citations), Hematology (172 citations), Pediatrics, Perinatology and Child Health (219 citations) and Pulmonary and Respiratory Medicine (235 citations). May‐Jean King has collaborated with scholars based in United Kingdom, China and France. Frequent co-authors include Achille Iolascon, Jacob C. Langer, Paula Bolton‐Maggs, David Greenwood, Chris Rogers, Keith Chambers, Judith Behrens, Jonathan S. Smythe, Rosey Mushens and D Dhermy. Their work appears in journals such as British Journal of Haematology, Cytometry Part B Clinical Cytometry, Blood, Glycobiology and Journal of Clinical Pathology.

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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