Hiroko Kaita

1.3k citations
112 papers · 901 · h-index 16

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Blood groups and transfusion 73
    • Erythrocyte Function and Pathophysiology 39

Hiroko Kaita

107 papers receiving 784 citations

Peers

Hiroko Kaita
Comparison fields: 5 of 86
  • Hematology 545
  • Physiology 369
  • History and Philosophy of Science 52
  • Genetics 110
  • Genetics 216
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C. L. Johnson United States
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L Cioé Italy
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Citations per field
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Citations per year

Countries citing papers authored by Hiroko Kaita

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Kaita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
THE DUFFY BLOOD GROUP SYSTEM IN CAUCASIANS: EVIDENCE FOR A NEW ALLELE.
196544
2
An unlinked modifier of Rh blood groups: effects when heterozygous and when homozygous.
197235
3 197131
4 197229
5 197129
6 195629
7 196128
8 199026
9
Kell typing in the capillary tube; an adaptation of Low's papainized serum technique to the capillary method of blood grouping.
195823
10 196222
11
The blood groups of a Japanese population.
195722
12
Segregation of marker loci in families with an inherited paracentric insertion of chromosome 9.
198621
13 198818
14 196318
15 195917
16 199016
17 196715
18 196714
19 198514
20 198014

About Hiroko Kaita

Hiroko Kaita is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 112 papers that have together received 901 indexed citations. Recurring topics across this work include Blood groups and transfusion (73 papers), Erythrocyte Function and Pathophysiology (39 papers), Hemoglobinopathies and Related Disorders (10 papers), Neonatal Health and Biochemistry (9 papers), Blood disorders and treatments (8 papers), Diabetes and associated disorders (7 papers), RNA modifications and cancer (7 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Hematology (545 citations), Physiology (369 citations), History and Philosophy of Science (52 citations), Genetics (110 citations) and Genetics (216 citations). Hiroko Kaita has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Marion Lewis, B. Chown, Bruce Chown, M. Lewis, Sylvia Philipps, Jeanne E. Anderson, P.J. McAlpine, Martin Lewis, E.R. Giblett and Eloise R. Giblett. Their work appears in journals such as Vox Sanguinis, Transfusion, Cytogenetic and Genome Research, Annals of Human Genetics and Nature.

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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