M. Higuchi

2.9k citations
69 papers · 1.7k · h-index 21

Impact in

  • Hematology top 1%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Erythropoietin and Anemia Treatment 16
    • Iron Metabolism and Disorders 6
    • Acute Myeloid Leukemia Research 4
    • Erythrocyte Function and Pathophysiology 10

M. Higuchi

63 papers receiving 1.6k citations

Peers

M. Higuchi
Comparison fields: 5 of 125
  • Hematology 725
  • Genetics 317
  • Nuclear and High Energy Physics 160
  • Physiology 267
  • Immunology 213
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Citations per field
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Citations per year

Countries citing papers authored by M. Higuchi

Since Specialization
Citations

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

Fields of papers citing papers by M. Higuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006241
2 2002169
3 1992133
4 199095
5 200185
6 199080
7 199065
8 199055
9 200347
10 200245
11 199735
12 197133
13 199731
14 200830
15 200028
16 200928
17 200927
18 200124
19 200324
20 200023

About M. Higuchi

M. Higuchi is a scholar working on Hematology, Physiology, Immunology, Molecular Biology and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (16 papers), Erythrocyte Function and Pathophysiology (10 papers), Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (6 papers), T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (5 papers), Quantum Chromodynamics and Particle Interactions (5 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (725 citations), Genetics (317 citations), Nuclear and High Energy Physics (160 citations), Physiology (267 citations) and Immunology (213 citations). M. Higuchi has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Masayoshi Oh‐eda, Hiroshi Kawabata, Naohisa Tomosugi, Norio Suzuki, Shigehiko Imagawa, Hisanori Umehara, Isao Ishikawa, Hideki Yamaya, Yasushi Shimonaka and Harumi Y. Mukai. Their work appears in journals such as British Journal of Haematology, Blood, IEEE Transactions on Nuclear Science, Japanese Journal of Applied Physics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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