HA Pearson

619 citations
17 papers · 483 · h-index 10

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 12
    • Blood groups and transfusion 6
    • Iron Metabolism and Disorders 3

HA Pearson

17 papers receiving 449 citations

Peers

HA Pearson
Comparison fields: 5 of 71
  • Genetics 211
  • Hematology 161
  • Pediatrics, Perinatology and Child Health 65
  • Cell Biology 41
  • Emergency Medicine 20
Replace Joan Windmiller with:
Joan Windmiller United States
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Noboru Matsumoto Japan
C Cywiner-Golenzer France
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J. Smith United States
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Ernest W. Smith United States
Wayne E. Spruce United States
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HA Pearson relative to Joan Windmiller United States Joan Windmiller's profile →
Citations per field
00.5×3.7×
Joan Windmiller · 1×
Citations per year

Countries citing papers authored by HA Pearson

Since Specialization
Citations

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

Fields of papers citing papers by HA Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside HA Pearson, 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 HA Pearson Line = papers co-authored together HA Pearson links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1995224
2 197994
3 198131
4
Identification of cases of "acquired" functional asplenia.
197026
5 198124
6 198321
7 198411
8 197910
9 198110
10
SOME ABNORMALITIES OF THE CANINE URINARY TRACT.
19659
11 19776
12 19795
13 19734
14
Clinical trial of young red blood cells prepared by apheresis.
19874
15 19812
16 19921
17 19741

About HA Pearson

HA Pearson is a scholar working on Genetics, Hematology, Physiology, Pediatrics, Perinatology and Child Health and Small Animals, having authored 17 papers that have together received 483 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (12 papers), Blood groups and transfusion (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Iron Metabolism and Disorders (3 papers), Neonatal Health and Biochemistry (2 papers), DNA Repair Mechanisms (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Animal health and immunology (1 paper). The work is most often cited by research in Genetics (211 citations), Hematology (161 citations), Pediatrics, Perinatology and Child Health (65 citations), Cell Biology (41 citations) and Emergency Medicine (20 citations). HA Pearson has collaborated with scholars based in United States and Israel. Frequent co-authors include GJ Dover, Patricia J. Giardina, A. Kim Ritchey, Steven McIntosh, Dorothy Johnston, H. Binder, Richard P. Spencer, Ronald Hoffman, C. J. Gibbs and Nicholas Dainiak. Their work appears in journals such as Blood, Radiology, American Journal of Roentgenology, The Journal of Pediatrics and Veterinary Record.

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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