I. Iuchi

724 citations
45 papers · 435 · h-index 11

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Hemoglobin structure and function

Papers in

    • Hemoglobinopathies and Related Disorders 25
    • Hemoglobin structure and function 18

I. Iuchi

45 papers receiving 404 citations

Peers

I. Iuchi
Comparison fields: 5 of 54
  • Genetics 247
  • Cell Biology 228
  • Hematology 109
  • Pediatrics, Perinatology and Child Health 112
  • Physiology 114
Replace Richmond Danso‐Danquah with:
Richmond Danso‐Danquah United States
Richard P. McPartland United States
Y Derrien France
SABURO YAMAZOE Japan
Monita Muralidharan India
Yoshiteru Kamiyama Japan
Leanne K. Winner Australia
Lisa Elkin United States
Anna D. Cunningham United States
YiQing Lü China
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Citations per field
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Richmond Danso‐Danquah · 1×
Citations per year

Countries citing papers authored by I. Iuchi

Since Specialization
Citations

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

Fields of papers citing papers by I. Iuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197156
2 196647
3 196942
4 196826
5 196724
6 196424
7 196822
8 198815
9 197811
10 195911
11 199810
12 198010
13 197010
14 19978
15 20018
16 19977
17 19867
18 19996
19 19786
20 19816

About I. Iuchi

I. Iuchi is a scholar working on Genetics, Cell Biology, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 435 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (25 papers), Hemoglobin structure and function (18 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Neonatal Health and Biochemistry (8 papers), Erythrocyte Function and Pathophysiology (8 papers), Computational Drug Discovery Methods (5 papers), Iron Metabolism and Disorders (5 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). The work is most often cited by research in Genetics (247 citations), Cell Biology (228 citations), Hematology (109 citations), Pediatrics, Perinatology and Child Health (112 citations) and Physiology (114 citations). I. Iuchi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takaoki Miyaji, S. Shibata, Howard B. Hamilton, Susumu Shibata, Kazuo Hidaka, T Miyaji, Lorraine M. Kraus, Alfred Kraus, Shuichi Ueda and John V. Kilmartin. Their work appears in journals such as Clinica Chimica Acta, Hemoglobin, Annals of Human Genetics, Science 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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