Michimasa Ebato

409 citations
16 papers · 325 indexed · h-index 10
Topics
Glioma Diagnosis and Treatment (5 papers)Immune Cell Function and Interaction (5 papers)CAR-T cell therapy research (3 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Michimasa Ebato

15 papers receiving 314 citations

Peers

Michimasa Ebato
Comparison fields: 5 of 50
  • Immunology 160
  • Genetics 135
  • Oncology 109
  • Molecular Biology 76
  • Neurology 66
Replace Sebastian Torke with:
Sebastian Torke Germany
Paola Valentino Italy
Christin Schmidt Germany
Josette Padilla United States
Karolina Piasecka‐Stryczynska Poland
Rainer Hillenbrand Switzerland
Fausto J. Rodriguez United States
Sandra Martín-Salamanca Spain
David Irvin United States
Oriane Cédile Denmark
Michimasa Ebato relative to Sebastian Torke Germany Sebastian Torke's profile →
Citations per field
00.5×1.5×2.3×
Sebastian Torke · 1×
Citations per year

Countries citing papers authored by Michimasa Ebato

Since Specialization
Citations

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

Fields of papers citing papers by Michimasa Ebato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michimasa Ebato

This figure shows the co-authorship network connecting the top 25 collaborators of Michimasa Ebato. A scholar is included among the top collaborators of Michimasa Ebato 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 Michimasa Ebato. Michimasa Ebato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 19
2 42
3 6
4
[Papillary glioneuronal tumor with highly degenerative pseudopapillary structure accompanied by specific abortive glial cells: a case report].
17
5 7
6 6
7 0
8 130
9 11
10 14
11 30
12 2
13 12
14 4
15 14
16 11

About Michimasa Ebato

Michimasa Ebato is a scholar working on Genetics, Immunology and Behavioral Neuroscience, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (135 citations), Immunology (160 citations) and Developmental Neuroscience (25 citations). Michimasa Ebato has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Taizo Nitta, Ko Okumura, Kiyoshi Sato, Hideo Yagita∥, Makoto Hishii, Akihiro Kurosu, Hiroshi Ishida, Kiyoshi Sato, Yoichi Nakazato and Hideaki Yokoo. Their work appears in journals such as Journal of neurosurgery, European Journal of Immunology and Neurosurgery.

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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