Maki Ito

551 citations
12 papers · 386 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2

Maki Ito

12 papers receiving 375 citations

Peers

Maki Ito
Comparison fields: 5 of 53
  • Immunology 265
  • Hematology 135
  • Oncology 135
  • Genetics 28
  • Genetics 35
Replace Donald Gravenor with:
Donald Gravenor United States
M Fogli Italy
Martine Klausmann Germany
Ana C. Alho Portugal
Simone Dertschnig United Kingdom
Mizuha Kosugi‐Kanaya Japan
Yusuke Meguri Japan
Yasuhisa Sando Japan
MA Brach Germany
Siska Wijngaarden Netherlands
Maki Ito relative to Donald Gravenor United States Donald Gravenor's profile →
Citations per field
00.5×1.5×2.3×
Donald Gravenor · 1×
Citations per year

Countries citing papers authored by Maki Ito

Since Specialization
Citations

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

Fields of papers citing papers by Maki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2001195
2 200183
3 199541
4 199936
5 199615
6 19795
7
Effects of psychotropic drugs on monoamine oxidase activity in individual nuclei of hypothalamus and amygdala in rat.
19764
8
Post-marketing surveillance of pirfenidone for idiopathic pulmonary fibrosis in Japan: Interim analysis of 973 patients
20122
9 19942
10 20061
11 20221
12 19821

About Maki Ito

Maki Ito is a scholar working on Hematology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 386 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), DNA Repair Mechanisms (1 paper), Ion channel regulation and function (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Immunology (265 citations), Hematology (135 citations), Oncology (135 citations), Genetics (28 citations) and Genetics (35 citations). Maki Ito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Judith A. Shizuru, Michael R. Verneris, Jeanette Baker, Robert S. Negrin, Arash Arshi, Robert S. Negrin, Jeanette Baker, Hiroshi Hara, Mahito Misawa and Yokiko Ohe. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Neuropediatrics, Stem Cells, Blood and Journal of Computer Assisted Tomography.

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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