M Maruyama

520 citations
7 papers · 412 · 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

Papers in

    • T-cell and Retrovirus Studies 2
    • Galectins and Cancer Biology 2
    • Immune Response and Inflammation 2
    • T-cell and B-cell Immunology 1
    • Hematopoietic Stem Cell Transplantation 4

M Maruyama

7 papers receiving 398 citations

Peers

M Maruyama
Comparison fields: 5 of 51
  • Hematology 232
  • Immunology 164
  • Genetics 60
  • Oncology 121
  • Agronomy and Crop Science 34
Replace Takuro Kuriyama with:
Takuro Kuriyama Japan
Z. N. Berneman Belgium
T Hercend France
Kohsuke Yanagisawa Japan
Kana Washio Japan
Mikel Valgañón United Kingdom
Manuela Lopez Italy
Yasushi Sawayama Japan
Daisuke Imanishi Japan
J.F. Duplan France
M Maruyama relative to Takuro Kuriyama Japan Takuro Kuriyama's profile →
Citations per field
00.5×1.7×
Takuro Kuriyama · 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-authors

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 1995224
2 1990101
3
Pluripotent and lineage-committed CD34+ subsets in leukapheresis products mobilized by G-CSF, GM-CSF vs. a combination of both.
199657
4 199423
5 19904
6 19942
7 20071

About M Maruyama

M Maruyama is a scholar working on Immunology, Hematology, Oncology, Ecology, Evolution, Behavior and Systematics and Surgery, having authored 7 papers that have together received 412 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), T-cell and Retrovirus Studies (2 papers), Galectins and Cancer Biology (2 papers), Immune Response and Inflammation (2 papers), Neutropenia and Cancer Infections (2 papers), Vector-Borne Animal Diseases (2 papers), Cancer Cells and Metastasis (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (232 citations), Immunology (164 citations), Genetics (60 citations), Oncology (121 citations) and Agronomy and Crop Science (34 citations). M Maruyama has collaborated with scholars based in United States and Japan. Frequent co-authors include Leon W.M.M. Terstappen, Ping‐Yee Law, D.J. Young, T.A. Lane, Matthew E. Mealiffe, Michael D. Mullen, J Burgess, A Hardwick, Kazuaki Ishibashi and Tomoyuki Sumizawa. 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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