Makoto Murata

6.0k total citations
256 papers, 3.6k citations indexed

About

Makoto Murata is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Makoto Murata has authored 256 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Hematology, 61 papers in Immunology and 36 papers in Oncology. Recurrent topics in Makoto Murata's work include Hematopoietic Stem Cell Transplantation (71 papers), Immune Cell Function and Interaction (37 papers) and T-cell and B-cell Immunology (34 papers). Makoto Murata is often cited by papers focused on Hematopoietic Stem Cell Transplantation (71 papers), Immune Cell Function and Interaction (37 papers) and T-cell and B-cell Immunology (34 papers). Makoto Murata collaborates with scholars based in Japan, United States and Austria. Makoto Murata's co-authors include Seitaro Terakura, Stanley R. Riddell, Edus H. Warren, Tetsuya Nishida, Takashi Kuboki, Tomoki Naoe, Hitoshi Kiyoi, Yoshiko Atsuta, Jianguo Yao and Koichi Miyamura and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Makoto Murata

230 papers receiving 3.5k citations

Peers

Makoto Murata
Comparison fields: 5 of 148
  • Hematology 1.3k
  • Immunology 968
  • Oncology 876
  • Molecular Biology 634
  • Genetics 459
Hiroshi Tsukamoto Japan
Hideo Tanaka Japan
Joaquín Martínez‐López Spain
Tauseef Ahmed United States
Hua Huang China
Hideo Uchida Japan
Cunshan Wang United States
Hai T. Tran United States
Claudio Giardini Italy
Chun Wang China
Hiroshi Tsukamoto Japan View profile →
Citations per field, relative to Makoto Murata
Makoto Murata · 1×
Citations per year, relative to Makoto Murata
Makoto Murata · 1×

Countries citing papers authored by Makoto Murata

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Murata

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Murata. A scholar is included among the top collaborators of Makoto Murata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Makoto Murata. Makoto Murata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 9
4 33
5 6
6 16
7 16
8 2
9 129
10 4
11 111
12 1
13
Spring-back prediction by combination of the finite element analysis and bent-beam theory considering bauschinger effect
1
14 5
15 0
16 1
17
Very low threshold current GaInNAs quantum well lasers operating at 1.30 /spl mu/m
1
18
AML M0.の明確なサブタイプである骨髄/NK前駆細胞急性白血病
2
19
Data Model for Document Transformation and Assembly(Extended Abstract).
2
20 7

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026