M Maruyama

519 citations
7 papers · 411 indexed · h-index 5

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • T-cell and Retrovirus Studies
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • T-cell and Retrovirus Studies 2
    • Immune Response and Inflammation 2
    • Galectins and Cancer Biology 2

M Maruyama

7 papers receiving 396 citations

Peers

M Maruyama
Comparison fields: 5 of 55
  • Hematology 254
  • Immunology 177
  • Genetics 71
  • Oncology 147
  • Agronomy and Crop Science 35
Replace Kohsuke Yanagisawa with:
Kohsuke Yanagisawa Japan
Kana Washio Japan
Manuela Lopez Italy
C Mikuni Japan
Hervé Finel France
Daisuke Imanishi Japan
JD Rowley United States
Rick Sorensen United States
Philippe Agapé France
Estela Matutes United Kingdom
M Maruyama relative to Kohsuke Yanagisawa Japan Kohsuke Yanagisawa's profile →
Citations per field
00.5×1.5×
Kohsuke Yanagisawa · 1×
Citations per year

Countries citing papers authored by M Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by M Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

7 of 7 papers shown
#Work
1 20071
2
Pluripotent and lineage-committed CD34+ subsets in leukapheresis products mobilized by G-CSF, GM-CSF vs. a combination of both.
199657
3 1995224
4 199422
5 19942
6 19904
7 1990101

About M Maruyama

M Maruyama is a scholar working on Hematology, Immunology, Oncology, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, having authored 7 papers that have together received 411 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Neutropenia and Cancer Infections (2 papers), T-cell and Retrovirus Studies (2 papers), Immune Response and Inflammation (2 papers), Vector-Borne Animal Diseases (2 papers), Galectins and Cancer Biology (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Hematology (254 citations), Immunology (177 citations), Genetics (71 citations), Oncology (147 citations) and Agronomy and Crop Science (35 citations). M Maruyama has collaborated with scholars based in Japan and United States. Frequent co-authors include D.J. Young, Leon W.M.M. Terstappen, Ping‐Yee Law, Matthew E. Mealiffe, A Hardwick, J Burgess, Michael D. Mullen, T.A. Lane, Atae Utsunomiya and Takashi Saito. Their work appears in journals such as Blood, Journal of Nuclear Medicine and PubMed.

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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