Tomohiko Nagai

832 total citations · 1 hit paper
6 papers, 667 citations indexed

About

Tomohiko Nagai is a scholar working on Ophthalmology, Epidemiology and Rheumatology. According to data from OpenAlex, Tomohiko Nagai has authored 6 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ophthalmology, 2 papers in Epidemiology and 2 papers in Rheumatology. Recurrent topics in Tomohiko Nagai's work include Systemic Lupus Erythematosus Research (2 papers), Glaucoma and retinal disorders (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Tomohiko Nagai is often cited by papers focused on Systemic Lupus Erythematosus Research (2 papers), Glaucoma and retinal disorders (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Tomohiko Nagai collaborates with scholars based in Japan and United States. Tomohiko Nagai's co-authors include Koji Tamada, Yukimi Sakoda, Keishi Adachi, Namiko Okuyama, Ryoji Yanai, Kazuhiro Kimura, Kip M. Connor, Koh‐Hei Sonoda, Makoto Hatano and Tsunehiko Ikeda and has published in prestigious journals such as Nature Biotechnology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Tomohiko Nagai

6 papers receiving 657 citations

Hit Papers

align trajectories

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.

IL-7 and CCL19 expression in CAR-T cells improves immune cell infiltration and CAR-T cell survival in the tumor

2018 600 citations Keishi Adachi, Tomohiko Nagai et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomohiko Nagai Japan	6	550	309	205	166	158	6	667
David Stroncek United States	9	233 0.4×	109 0.4×	54 0.3×	151 0.9×	113 0.7×	18	455
Daosheng Huang China	8	289 0.5×	146 0.5×	115 0.6×	187 1.1×	95 0.6×	12	464
Anthony Leonardi United States	6	377 0.7×	292 0.9×	72 0.4×	139 0.8×	108 0.7×	10	518
Xiaoqian Liang China	6	243 0.4×	98 0.3×	54 0.3×	117 0.7×	68 0.4×	8	334
Xueqiang Zhao China	10	500 0.9×	299 1.0×	171 0.8×	189 1.1×	123 0.8×	14	667
Decheng Song United States	7	468 0.9×	229 0.7×	173 0.8×	182 1.1×	146 0.9×	13	621
Leena Halim United Kingdom	5	246 0.4×	200 0.6×	81 0.4×	77 0.5×	74 0.5×	7	360
Tobias Riët Germany	9	375 0.7×	217 0.7×	141 0.7×	121 0.7×	106 0.7×	12	490
Lemei Jia China	7	199 0.4×	126 0.4×	61 0.3×	130 0.8×	37 0.2×	12	323

Countries citing papers authored by Tomohiko Nagai

Since Specialization

Citations

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

Fields of papers citing papers by Tomohiko Nagai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiko Nagai

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

All Works

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6 of 6 papers shown

1.

Yanai, Ryoji, et al.. (2023). Efficacy of ripasudil in reducing intraocular pressure and medication score for ocular hypertension with inflammation and corticosteroid. International Journal of Ophthalmology. 16(6). 904–908. 5 indexed citations

2.

Takahashi, Makiko, Masaaki Kobayashi, Makoto Hatano, et al.. (2020). Influence of extended depth of focus intraocular lenses on visual field sensitivity. PLoS ONE. 15(9). e0237728–e0237728. 10 indexed citations

3.

Yanai, Ryoji, Masaaki Kobayashi, Makoto Hatano, et al.. (2019). Dendritic cells mediate the anti-inflammatory action of omega-3 long-chain polyunsaturated fatty acids in experimental autoimmune uveitis. PLoS ONE. 14(7). e0219405–e0219405. 16 indexed citations

4.

Adachi, Keishi, et al.. (2018). IL-7 and CCL19 expression in CAR-T cells improves immune cell infiltration and CAR-T cell survival in the tumor. Nature Biotechnology. 36(4). 346–351. 600 indexed citations breakdown →

5.

Sakoda, Yukimi, Tomohiko Nagai, Hiromi Kurosawa, et al.. (2016). Pathogenic Function of Herpesvirus Entry Mediator in Experimental Autoimmune Uveitis by Induction of Th1- and Th17-Type T Cell Responses. The Journal of Immunology. 196(7). 2947–2954. 13 indexed citations

6.

Yanai, Ryoji, Takeru Yoshimura, Tomohiko Nagai, et al.. (2015). Dietary Omega-3 Fatty Acids Suppress Experimental Autoimmune Uveitis in Association with Inhibition of Th1 and Th17 Cell Function. PLoS ONE. 10(9). e0138241–e0138241. 23 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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