Eiichi Nakayama

9.3k total citations · 2 hit papers
184 papers, 7.2k citations indexed

About

Eiichi Nakayama is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Eiichi Nakayama has authored 184 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Immunology, 69 papers in Molecular Biology and 38 papers in Oncology. Recurrent topics in Eiichi Nakayama's work include Immunotherapy and Immune Responses (92 papers), Immune Cell Function and Interaction (45 papers) and T-cell and B-cell Immunology (41 papers). Eiichi Nakayama is often cited by papers focused on Immunotherapy and Immune Responses (92 papers), Immune Cell Function and Interaction (45 papers) and T-cell and B-cell Immunology (41 papers). Eiichi Nakayama collaborates with scholars based in Japan, United States and Australia. Eiichi Nakayama's co-authors include Akiko Uenaka, Isao Tawara, Hiroshi Shiku, Shimon Sakaguchi, Takashi Fujita, Jun Shimizu, Shin Onizuka, Heiichiro Udono, Toshiro Ono and Lloyd J. Old and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Eiichi Nakayama

181 papers receiving 7.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Tumor rejection by in vivo administration of anti-CD25 (interleukin-2 receptor alpha) monoclonal antibody.

1999 888 citations Isao Tawara, Eiichi Nakayama et al. profile →
Immune-mediated antitumor effect by type 2 diabetes drug, metformin

2015 433 citations Shingo Eikawa, Mikako Nishida et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eiichi Nakayama Japan	44	4.2k	2.2k	1.9k	993	803	184	7.2k
Carol Clayberger United States	52	7.4k 1.7×	2.0k 0.9×	1.4k 0.7×	1.3k 1.3×	813 1.0×	156	10.7k
Birger Christensson Sweden	42	2.1k 0.5×	1.3k 0.6×	1.6k 0.9×	567 0.6×	376 0.5×	160	5.8k
Richard J. Armitage United States	45	7.1k 1.7×	1.6k 0.7×	1.8k 0.9×	835 0.8×	712 0.9×	75	9.3k
Juan José Lasarte Spain	44	2.9k 0.7×	1.8k 0.8×	1.8k 0.9×	1.2k 1.2×	423 0.5×	179	6.2k
Robert C. Fuhlbrigge United States	44	5.1k 1.2×	2.3k 1.0×	2.8k 1.5×	797 0.8×	337 0.4×	100	9.2k
Paul Ponath United States	32	5.4k 1.3×	1.0k 0.5×	2.6k 1.4×	584 0.6×	438 0.5×	66	8.2k
A. Karolina Palucka United States	37	7.5k 1.8×	2.3k 1.0×	2.6k 1.4×	842 0.8×	412 0.5×	46	9.5k
Cornelis J.M. Melief Netherlands	41	5.4k 1.3×	4.5k 2.0×	1.9k 1.0×	919 0.9×	436 0.5×	90	8.8k
Peter D. Katsikis United States	46	4.1k 1.0×	1.9k 0.8×	1.2k 0.6×	1.1k 1.1×	809 1.0×	136	7.8k
Ian C. M. MacLennan United Kingdom	54	8.8k 2.1×	2.2k 1.0×	1.4k 0.7×	743 0.7×	1.4k 1.7×	99	12.0k

Countries citing papers authored by Eiichi Nakayama

Since Specialization

Citations

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

Fields of papers citing papers by Eiichi Nakayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichi Nakayama

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Maeda, Yuka, Hisashi Wada, Daisuke Sugiyama, et al.. (2021). Depletion of central memory CD8+ T cells might impede the antitumor therapeutic effect of Mogamulizumab. Nature Communications. 12(1). 7280–7280. 29 indexed citations

Ohue, Yoshihiro, Koji Kurose, Midori Isobe, et al.. (2016). Survival of Lung Adenocarcinoma Patients Predicted from Expression of PD-L1, Galectin-9, and XAGE1 (GAGED2a) on Tumor Cells and Tumor-Infiltrating T Cells. Cancer Immunology Research. 4(12). 1049–1060. 40 indexed citations

Kurose, Koji, Yoshihiro Ohue, Hisashi Wada, et al.. (2015). Phase Ia Study of FoxP3+ CD4 Treg Depletion by Infusion of a Humanized Anti-CCR4 Antibody, KW-0761, in Cancer Patients. Clinical Cancer Research. 21(19). 4327–4336. 179 indexed citations

Eikawa, Shingo, Mikako Nishida, Shusaku Mizukami, et al.. (2015). Immune-mediated antitumor effect by type 2 diabetes drug, metformin. Proceedings of the National Academy of Sciences. 112(6). 1809–1814. 433 indexed citations breakdown →

Ohue, Yoshihiro, Koji Kurose, Hirofumi Matsumoto, et al.. (2014). Prolongation of Overall Survival in Advanced Lung Adenocarcinoma Patients with the XAGE1 (GAGED2a) Antibody. Clinical Cancer Research. 20(19). 5052–5063. 20 indexed citations

Kurose, Koji, Yoshihiro Ohue, Eiichi Sato, et al.. (2014). Increase in Activated Treg in TIL in Lung Cancer and In Vitro Depletion of Treg by ADCC Using an Antihuman CCR4 mAb (KM2760). Journal of Thoracic Oncology. 10(1). 74–83. 48 indexed citations

Tanaka, Kei, Midori Isobe, Hisashi Wada, et al.. (2010). Three novel NY-ESO-1 epitopes bound to DRB1*0803, DQB1*0401 and DRB1*0901 recognized by CD4 T cells from CHP-NY-ESO-1-vaccinated patients. Vaccine. 28(32). 5338–5346. 7 indexed citations

Aoki, Masatoshi, Shugo Ueda, Hiroyoshi Nishikawa, et al.. (2009). Antibody responses against NY-ESO-1 and HER2 antigens in patients vaccinated with combinations of cholesteryl pullulan (CHP)-NY-ESO-1 and CHP-HER2 with OK-432. Vaccine. 27(49). 6854–6861. 43 indexed citations

Morozumi, Miyuki, Eiichi Nakayama, Satoshi Iwata, et al.. (2006). Simultaneous Detection of Pathogens in Clinical Samples from Patients with Community-Acquired Pneumonia by Real-Time PCR with Pathogen-Specific Molecular Beacon Probes. Journal of Clinical Microbiology. 44(4). 1440–1446. 87 indexed citations

10.

Morozumi, Miyuki, Keiko Hasegawa, Reiko Kobayashi, et al.. (2005). Emergence of Macrolide-Resistant Mycoplasma pneumoniae with a 23S rRNA Gene Mutation. Antimicrobial Agents and Chemotherapy. 49(6). 2302–2306. 109 indexed citations

11.

Tanaka, Motoyuki, Masaharu Yamada, Toshiro Ono, et al.. (2004). Inhibition of RL male 1 tumor growth in BALB/c mice by introduction of the RLakt gene coding for antigen recognized by cytotoxic T‐lymphocytes and the GM‐CSF gene by in vivo electroporation. Cancer Science. 95(2). 154–159. 4 indexed citations

12.

Sunaoshi, Katsuhiko, Eiichi Nakayama, Reiko Kobayashi, et al.. (2004). Antibiotic susceptibility and T type identification of Streptococcus pyogenes isolated from pediatric outpatients with pharyngotonsillitis. 52(8). 401–407. 2 indexed citations

13.

Chen, Yao-Tseng, Birgit Alpen, Toshiro Ono, et al.. (2003). Identification and characterization of mouse SSX genes: a multigene family on the X chromosome with restricted cancer/testis expression☆. Genomics. 82(6). 628–636. 21 indexed citations

14.

Noguchi, Yuji, Kazunori Tomono, Takayoshi Tashiro, et al.. (2003). Repression of Bleomycin-Induced Pneumopathy by TNF. The Journal of Immunology. 170(1). 567–574. 78 indexed citations

15.

Uenaka, Akiko, Sanda Win, Motoyuki Tanaka, et al.. (2003). Cryptic CTL Epitope on a Murine Sarcoma Meth A Generated by Exon Extension as a Novel Mechanism. The Journal of Immunology. 170(9). 4862–4868. 6 indexed citations

16.

Tawara, Isao, Yutaka Take, Akiko Uenaka, Yuji Noguchi, & Eiichi Nakayama. (2002). Sequential Involvement of Two Distinct CD4⁺ Regulatory T Cells during the Course of Transplantable Tumor Growth and Protection from 3–Methylcholanthrene‐induced Tumorigenesis by CD25–depletion. Japanese Journal of Cancer Research. 93(8). 911–916. 22 indexed citations

17.

Okano, Mitsuhiro, Miyuki Azuma, Tadashi Yoshino, et al.. (2001). Differential Role of CD80 and CD86 Molecules in the Induction and the Effector Phases of Allergic Rhinitis in Mice. American Journal of Respiratory and Critical Care Medicine. 164(8). 1501–1507. 30 indexed citations

18.

Gu, Weili, et al.. (1999). Rapid Loss of Graft Immunogenicity and Transient Hyporesponsiveness to The Donor Antigen After Rat Liver Transplantation. Nagasaki University's Academic Output SITE (Nagasaki University). 44(3). 31–38. 3 indexed citations

19.

Ono, Toshiro, Akiko Uenaka, & Eiichi Nakayama. (1996). Production of Murine Leukemia RL♂1 Rejection Antigen Peptide pRL1a by Proteolysis of Natural Precursor pRL1b. Japanese Journal of Cancer Research. 87(11). 1165–1170. 4 indexed citations

20.

Nagata, Yasuhiko, et al.. (1990). Frequent Glycine‐to‐Aspartic Acid Mutations at Codon 12 of c‐Ki‐ras Gene in Human Pancreatic Cancer in Japanese. Japanese Journal of Cancer Research. 81(2). 135–140. 84 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.

Explore authors with similar magnitude of impact