Tomohiko Ebata

1.2k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Tomohiko Ebata is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, Tomohiko Ebata has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Microbiology. Recurrent topics in Tomohiko Ebata's work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Tomohiko Ebata is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Tomohiko Ebata collaborates with scholars based in Japan, United States and Australia. Tomohiko Ebata's co-authors include Hideo Yagita∥, Ko Okumura, Nobuhiko Kayagaki, Kiyoshi Yoshino, Shoji Ikeda, Shintaro Inoue, Hiroshi Ohmoto, Junichiro Fujimoto, Takaomi Sekino and Yohko U. Katagiri and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

In The Last Decade

Tomohiko Ebata

15 papers receiving 1.0k citations

Hit Papers

Metalloproteinase-mediated release of human Fas ligand. 1995 2026 2005 2015 1995 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metalloproteinase-mediated release of human Fas ligand.
    1995 733 citations Nobuhiko Kayagaki, Tomohiko Ebata et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomohiko Ebata Japan 10 522 477 175 145 122 16 1.0k
Elizabeth M. Williamson United Kingdom 11 905 1.7× 723 1.5× 114 0.7× 100 0.7× 128 1.0× 13 1.8k
Ahmad Faili France 18 843 1.6× 915 1.9× 222 1.3× 181 1.2× 148 1.2× 39 1.8k
Thaddeus C. George United States 13 404 0.8× 519 1.1× 99 0.6× 123 0.8× 50 0.4× 19 1.0k
Dale R. Taylor United Kingdom 9 522 1.0× 892 1.9× 87 0.5× 285 2.0× 229 1.9× 12 1.6k
Andreas M. Hohlbaum United States 15 644 1.2× 1.6k 3.4× 147 0.8× 193 1.3× 162 1.3× 25 2.4k
Ryo Hayama United States 9 637 1.2× 1.0k 2.1× 77 0.4× 87 0.6× 50 0.4× 12 1.5k
Josef Brüggen Switzerland 10 779 1.5× 416 0.9× 159 0.9× 203 1.4× 103 0.8× 13 1.2k
William Hanna United States 10 544 1.0× 467 1.0× 104 0.6× 140 1.0× 160 1.3× 11 1.1k
Marat Alimzhanov United States 18 656 1.3× 1.7k 3.5× 232 1.3× 465 3.2× 73 0.6× 41 2.4k
T.A. Fleisher United States 11 290 0.6× 570 1.2× 54 0.3× 127 0.9× 44 0.4× 19 1.2k

Countries citing papers authored by Tomohiko Ebata

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiko Ebata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiko Ebata

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiko Ebata. A scholar is included among the top collaborators of Tomohiko Ebata 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 Tomohiko Ebata. Tomohiko Ebata 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
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Mawatari, Kazuma, Toshinori Ohashi, Tomohiko Ebata, Manabu Tokeshi, & Takehiko Kitamori. (2011). Thermal lens detection device. Lab on a Chip. 11(17). 2990–2990. 21 indexed citations
4.
Ebata, Tomohiko, et al.. (2010). Enhancement of comparator operation speed by using negative-differential-resistance devices. 3020–3023. 3 indexed citations
5.
Ebata, Tomohiko, et al.. (2005). β2-Microglobulin required for cell surface expression of blastocyst MHC. Biochemical and Biophysical Research Communications. 332(1). 311–317. 11 indexed citations
6.
Ebata, Tomohiko, Nobuhiko Kayagaki, Hideo Yagita∥, et al.. (2004). Sensitization of human glioblastomas to tumor necrosis factor‐related apoptosis‐inducing ligand (TRAIL) by NF‐κB inhibitors. Cancer Science. 95(10). 840–844. 23 indexed citations
7.
Ebata, Tomohiko, Jun Matsui, Hirofumi Yasue, et al.. (2004). Characterization of new monoclonal antibodies against porcine lymphocytes: molecular characterization of clone 7G3, an antibody reactive with the constant region of the T-cell receptor δ-chains. Veterinary Immunology and Immunopathology. 103(1-2). 113–127. 6 indexed citations
8.
Tajima, Atsushi, Tomohiko Ebata, Kazuyoshi Takeda, et al.. (2003). Blastocyst MHC, a Putative Murine Homologue of HLA-G, Protects TAP-Deficient Tumor Cells from Natural Killer Cell-Mediated Rejection In Vivo. The Journal of Immunology. 171(4). 1715–1721. 27 indexed citations
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Nakajima, Hideki, Nobutaka Kiyokawa, Yohko U. Katagiri, et al.. (2001). Kinetic Analysis of Binding between Shiga Toxin and Receptor Glycolipid Gb3Cer by Surface Plasmon Resonance. Journal of Biological Chemistry. 276(46). 42915–42922. 107 indexed citations
11.
Ebata, Tomohiko, Seiki Mogi, Junichiro Fujimoto, et al.. (2001). Rapid induction of CD95 ligand and CD4+ T cell-mediated apoptosis by CD137 (4–1BB) costimulation. European Journal of Immunology. 31(5). 1410–1416. 10 indexed citations
12.
Ebata, Tomohiko, Yasuhiro Setoguchi, Μakoto Fujime, et al.. (1998). Efficient generation of autologous peripheral blood-derived cytotoxic T lymphocytes against poorly immunogenic human tumors using recombinant CD80-adenovirus together with interleukin 12 and interleukin 2.. PubMed. 4(3). 713–20. 7 indexed citations
13.
Hattori, Koichi, T Hirano, Chifuyu Ushiyama, et al.. (1997). A Metalloproteinase Inhibitor Prevents Lethal Acute Graft-Versus-Host Disease in Mice. Blood. 90(2). 542–548. 56 indexed citations
14.
Hattori, Koichi, T Hirano, Chifuyu Ushiyama, et al.. (1997). A Metalloproteinase Inhibitor Prevents Lethal Acute Graft-Versus-Host Disease in Mice. Blood. 90(2). 542–548. 11 indexed citations
15.
Kayagaki, Nobuhiko, Tomohiko Ebata, Hiroshi Ohmoto, et al.. (1995). Metalloproteinase-mediated release of human Fas ligand.. The Journal of Experimental Medicine. 182(6). 1777–1783. 733 indexed citations breakdown →
16.
Muraoka, Masako, Akiko Iida, Seizo Takahashi, Tomohiko Ebata, & Seiichi Uesugi. (1991). Synthesis and Properties of 2′4′- and 3′-5′-Linked Ribodinucleoside Monophosphates Containing 2-Aminoadenosine and Uridine. Nucleosides and Nucleotides. 10(6). 1317–1332. 4 indexed citations

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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