Eiji Kobayashi

2.0k total citations · 1 hit paper
39 papers, 1.6k citations indexed

About

Eiji Kobayashi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Eiji Kobayashi has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 21 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Eiji Kobayashi's work include CAR-T cell therapy research (17 papers), Immune Cell Function and Interaction (13 papers) and T-cell and B-cell Immunology (11 papers). Eiji Kobayashi is often cited by papers focused on CAR-T cell therapy research (17 papers), Immune Cell Function and Interaction (13 papers) and T-cell and B-cell Immunology (11 papers). Eiji Kobayashi collaborates with scholars based in Japan, United States and China. Eiji Kobayashi's co-authors include Toshiyuki Takai, Sunhwa Kim, Hiroshi Ohnishi, Hiroshi Takayanagi, Ayako Suematsu, Takako Koga, Tatsuhiko Kodama, Toshio Iwata, Takashi Matozaki and Tadatsugu Taniguchi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Eiji Kobayashi

39 papers receiving 1.6k citations

Hit Papers

Costimulatory signals mediated by the ITAM motif cooperat... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eiji Kobayashi Japan 16 792 699 619 170 145 39 1.6k
Martin Hegen United States 26 900 1.1× 761 1.1× 992 1.6× 231 1.4× 376 2.6× 35 2.3k
Alexei Y. Savinov United States 24 667 0.8× 437 0.6× 518 0.8× 419 2.5× 51 0.4× 45 1.9k
Theo A. Berkhout United Kingdom 20 710 0.9× 747 1.1× 923 1.5× 197 1.2× 85 0.6× 28 1.9k
Mark Esposito United States 13 786 1.0× 138 0.2× 466 0.8× 364 2.1× 74 0.5× 19 1.3k
Stefan Kammerer Germany 24 1.5k 1.9× 157 0.2× 319 0.5× 171 1.0× 87 0.6× 38 2.0k
Anna Radzikowska Poland 11 593 0.7× 225 0.3× 162 0.3× 64 0.4× 262 1.8× 24 1.1k
Alan H. Davidson United Kingdom 17 588 0.7× 295 0.4× 448 0.7× 606 3.6× 87 0.6× 43 1.7k
Turid Hellevik Norway 19 524 0.7× 329 0.5× 631 1.0× 267 1.6× 18 0.1× 26 1.4k
Julia M. Ayala United States 18 464 0.6× 440 0.6× 278 0.4× 145 0.9× 126 0.9× 22 1.1k
Emma Teixeiro United States 19 441 0.6× 1.1k 1.5× 470 0.8× 172 1.0× 45 0.3× 35 1.6k

Countries citing papers authored by Eiji Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Kobayashi. A scholar is included among the top collaborators of Eiji Kobayashi 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 Eiji Kobayashi. Eiji Kobayashi 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
1.
Akitsu, Aoi, Eiji Kobayashi, Yinnian Feng, et al.. (2024). Parsing digital or analog TCR performance through piconewton forces. Science Advances. 10(33). eado4313–eado4313. 4 indexed citations
2.
Kobayashi, Eiji, Chihiro Motozono, Hiroshi Hamana, et al.. (2024). Characterization of Tumor-Infiltrating Lymphocyte-Derived Atypical TCRs Recognizing Breast Cancer in an MR1-Dependent Manner. Cells. 13(20). 1711–1711. 3 indexed citations
3.
Hamana, Hiroshi, Eiji Kobayashi, Toshiaki Yoshikawa, et al.. (2023). Selection of highly responsive T cell receptors by an analysis combining the expression of multiple markers. Cancer Science. 114(6). 2254–2264. 1 indexed citations
4.
Ouhara, Kazuhisa, Eiji Kobayashi, Noriyoshi Mizuno, et al.. (2023). N-glycan in the variable region of monoclonal ACPA (CCP-Ab1) promotes the exacerbation of experimental arthritis. Lara D. Veeken. 62(12). 3968–3977. 1 indexed citations
5.
Kobayashi, Eiji, Yusuke Kamihara, Akinori Wada, et al.. (2023). Development of a Novel CD26-Targeted Chimeric Antigen Receptor T-Cell Therapy for CD26-Expressing T-Cell Malignancies. Cells. 12(16). 2059–2059. 5 indexed citations
6.
Kobayashi, Eiji, Aishun Jin, Hiroshi Hamana, et al.. (2022). Rapid cloning of antigen-specific T-cell receptors by leveraging the cis activation of T cells. Nature Biomedical Engineering. 6(7). 806–818. 7 indexed citations
7.
Nakamura, Tomoko, Eiji Kobayashi, Hiroshi Hamana, et al.. (2022). Evaluation of chimeric antigen receptor of humanized rabbit‐derived T cell receptor‐like antibody. Cancer Science. 113(10). 3321–3329. 1 indexed citations
8.
Ozawa, Tatsuhiko, Eiji Kobayashi, Hiroshi Hamana, et al.. (2021). Rapid and efficient generation of T‐cell receptor‐like antibodies using chip‐based single‐cell analysis. European Journal of Immunology. 51(7). 1850–1853. 3 indexed citations
9.
Yamaguchi, Satoshi, Hiroshi Hamana, Takuya Nagata, et al.. (2021). TCR function analysis using a novel system reveals the multiple unconventional tumor‐reactive T cells in human breast cancer‐infiltrating lymphocytes. European Journal of Immunology. 51(9). 2306–2316. 6 indexed citations
10.
Ozawa, Tatsuhiko, Kazuhisa Ouhara, Hidemi Kurihara, et al.. (2020). Physiologic Target, Molecular Evolution, and Pathogenic Functions of a Monoclonal Anti–Citrullinated Protein Antibody Obtained From a Patient With Rheumatoid Arthritis. Arthritis & Rheumatology. 72(12). 2040–2049. 7 indexed citations
11.
Hamana, Hiroshi, Eiji Kobayashi, Yoshihiro Miyahara, et al.. (2020). Relationship between T cell receptor clonotype and PD‐1 expression of tumor‐infiltrating lymphocytes in colorectal cancer. European Journal of Immunology. 50(10). 1580–1590. 7 indexed citations
12.
Hamana, Hiroshi, Hiroyuki Kishi, Yoshihiro Hayakawa, et al.. (2018). Identification of Tumoricidal TCRs from Tumor-Infiltrating Lymphocytes by Single-Cell Analysis. Cancer Immunology Research. 6(4). 378–388. 30 indexed citations
14.
Feng, Yinnian, Kristine N. Brazin, Eiji Kobayashi, et al.. (2017). Mechanosensing drives acuity of αβ T-cell recognition. Proceedings of the National Academy of Sciences. 114(39). E8204–E8213. 138 indexed citations
16.
Suzuki, Mami, Eiji Kobayashi, Mitsutoshi Tsukimoto, et al.. (2013). Cleavage of the interchain disulfide bonds in rituximab increases its affinity for FcγRIIIA. Biochemical and Biophysical Research Communications. 436(3). 519–524. 7 indexed citations
17.
Ozawa, Tatsuhiko, et al.. (2012). The binding affinity of a soluble TCR-Fc fusion protein is significantly improved by crosslinkage with an anti-Cβ antibody. Biochemical and Biophysical Research Communications. 422(2). 245–249. 2 indexed citations
18.
Enoki, Tatsuji, Hiromu Ohnogi, Eiji Kobayashi, & Hiroaki Sagawa. (2010). Anti-diabetic Activities of Chalcones Derived from Ashitaba. Nippon Shokuhin Kagaku Kogaku Kaishi. 57(11). 456–463. 5 indexed citations
19.
Endo, Shota, Yuzuru Sakamoto, Eiji Kobayashi, Akira Nakamura, & Toshiyuki Takai. (2008). Regulation of cytotoxic T lymphocyte triggering by PIR-B on dendritic cells. Proceedings of the National Academy of Sciences. 105(38). 14515–14520. 43 indexed citations
20.
Koga, Takako, Masanori Inui, Kazuya Inoue, et al.. (2004). Costimulatory signals mediated by the ITAM motif cooperate with RANKL for bone homeostasis. Nature. 428(6984). 758–763. 673 indexed citations breakdown →

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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