A. Nagano

9.7k total citations
22 papers, 778 citations indexed

About

A. Nagano is a scholar working on Molecular Biology, Oncology and Radiation. According to data from OpenAlex, A. Nagano has authored 22 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Radiation. Recurrent topics in A. Nagano's work include Immunotherapy and Immune Responses (5 papers), Advanced Radiotherapy Techniques (4 papers) and Radiation Therapy and Dosimetry (4 papers). A. Nagano is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Advanced Radiotherapy Techniques (4 papers) and Radiation Therapy and Dosimetry (4 papers). A. Nagano collaborates with scholars based in United Kingdom, Japan and Italy. A. Nagano's co-authors include Claude Chelala, Jun Wang, Nicholas R. Lemoine, Abu Z M Dayem Ullah, Jorge Oscanoa, Catherine Harwood, Gareth J. Inman, Irene M. Leigh, Karin J. Purdie and Charlotte M. Proby and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

A. Nagano

20 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Nagano United Kingdom 13 254 243 171 158 149 22 778
Yizhuo Zhang China 17 357 1.4× 317 1.3× 130 0.8× 49 0.3× 121 0.8× 119 1.1k
D. Butler United Kingdom 12 228 0.9× 281 1.2× 47 0.3× 34 0.2× 106 0.7× 19 1.0k
Pamela Boimel United States 15 274 1.1× 182 0.7× 73 0.4× 45 0.3× 55 0.4× 24 653
Mylène Bohec France 11 339 1.3× 219 0.9× 247 1.4× 40 0.3× 195 1.3× 15 1.0k
Tonny Lagerweij Netherlands 20 456 1.8× 209 0.9× 87 0.5× 102 0.6× 129 0.9× 33 981
Davide Vacirca Italy 18 348 1.4× 244 1.0× 203 1.2× 195 1.2× 171 1.1× 45 1.1k
A J Robertson United Kingdom 15 526 2.1× 178 0.7× 75 0.4× 47 0.3× 90 0.6× 41 939
Jianying Zeng China 16 143 0.6× 251 1.0× 126 0.7× 95 0.6× 62 0.4× 41 654
Christelle Gérard Switzerland 12 282 1.1× 85 0.3× 163 1.0× 57 0.4× 46 0.3× 14 660
Veronica Klepeis United States 14 225 0.9× 161 0.7× 304 1.8× 58 0.4× 101 0.7× 25 907

Countries citing papers authored by A. Nagano

Since Specialization
Citations

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

Fields of papers citing papers by A. Nagano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Nagano

This figure shows the co-authorship network connecting the top 25 collaborators of A. Nagano. A scholar is included among the top collaborators of A. Nagano 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 A. Nagano. A. Nagano 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.
2.
Abbadessa, Gianmarco, A. Nagano, Simon Hametner, et al.. (2025). Mapping Molecular Pathways of Multiple Sclerosis: A Gene Prioritization and Network Analysis of White Matter Pathology Transcriptomics. Annals of Neurology. 98(1). 67–79.
3.
Baleeiro, Renato B., Peng Liu, Louisa S. Chard, et al.. (2023). Personalized neoantigen viro-immunotherapy platform for triple-negative breast cancer. Journal for ImmunoTherapy of Cancer. 11(8). e007336–e007336. 13 indexed citations
4.
Baleeiro, Renato B., Peng Liu, Louisa S. Chard, et al.. (2022). MHC class II molecules on pancreatic cancer cells indicate a potential for neo-antigen-based immunotherapy. OncoImmunology. 11(1). 2080329–2080329. 21 indexed citations
5.
Thomson, Jason, Findlay Bewicke‐Copley, Chinedu A. Anene, et al.. (2021). The Genomic Landscape of Actinic Keratosis. Journal of Investigative Dermatology. 141(7). 1664–1674.e7. 37 indexed citations
6.
Montero‐Melendez, Trinidad, A. Nagano, Claude Chelala, et al.. (2020). Therapeutic senescence via GPCR activation in synovial fibroblasts facilitates resolution of arthritis. Nature Communications. 11(1). 745–745. 48 indexed citations
7.
Keane, Lily, Sean‐Patrick Riechers, Raphaël Zollinger, et al.. (2020). mTOR-dependent translation amplifies microglia priming in aging mice. Journal of Clinical Investigation. 131(1). 62 indexed citations
8.
Purdie, Karin J., Jun Wang, Catherine Harwood, et al.. (2019). A Unique Panel of Patient-Derived Cutaneous Squamous Cell Carcinoma Cell Lines Provides a Preclinical Pathway for Therapeutic Testing. International Journal of Molecular Sciences. 20(14). 3428–3428. 19 indexed citations
9.
Inman, Gareth J., Jun Wang, A. Nagano, et al.. (2018). The genomic landscape of cutaneous SCC reveals drivers and a novel azathioprine associated mutational signature. Nature Communications. 9(1). 3667–3667. 193 indexed citations
10.
Sangaralingam, Ajanthah, Abu Z M Dayem Ullah, Jacek Marzec, et al.. (2017). ‘Multi-omic’ data analysis using O-miner. Briefings in Bioinformatics. 20(1). 130–143. 12 indexed citations
11.
Nagano, A., Karen O’Leary, Natasha Sahgal, et al.. (2017). Abstract 104: miRNAs in the 14q32 cluster are involved in lapatinib resistance. Cancer Research. 77(13_Supplement). 104–104. 13 indexed citations
12.
Locke, Matthew, Essam Ghazaly, Marta O. Freitas, et al.. (2016). Inhibition of the Polyamine Synthesis Pathway Is Synthetically Lethal with Loss of Argininosuccinate Synthase 1. Cell Reports. 16(6). 1604–1613. 46 indexed citations
13.
Haider, Syed, Jun Wang, A. Nagano, et al.. (2014). A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma. Genome Medicine. 6(12). 105–105. 90 indexed citations
14.
Kyo, Masaharu, et al.. (2014). Timing of the G1/S transition in tobacco pollen vegetative cells as a primary step towards androgenesis in vitro. Plant Cell Reports. 33(9). 1595–1606. 1 indexed citations
15.
Jones, Bleddyn, et al.. (2012). Dilemmas concerning dose distribution and the influence of relative biological effect in proton beam therapy of medulloblastoma. British Journal of Radiology. 85(1018). e912–e918. 44 indexed citations
16.
Nagano, A., Shinichi Minohara, Shingo Kato, Hiroki Kiyohara, & Ken Ando. (2012). Adaptive radiotherapy based on the daily regression of a tumor in carbon-ion beam irradiation. Physics in Medicine and Biology. 57(24). 8343–8356. 8 indexed citations
17.
Kase, Yuki, Takeshi Himukai, A. Nagano, et al.. (2011). Preliminary Calculation of RBE-weighted Dose Distribution for Cerebral Radionecrosis in Carbon-ion Treatment Planning. Journal of Radiation Research. 52(6). 789–796. 11 indexed citations
18.
Inaniwa, Taku, T. Furukawa, A. Nagano, et al.. (2009). Field‐size effect of physical doses in carbon‐ion scanning using range shifter plates. Medical Physics. 36(7). 2889–2897. 43 indexed citations
19.
Itoh, Susumu, T. Takeshita, Yuki Fujii, et al.. (2008). Performance of a shower maximum detector with avalanche photodiode readout. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 589(3). 370–382. 1 indexed citations
20.
Ono, H., Hiroaki Miyata, Yuki Fujii, et al.. (2008). Beam test results of a high-granularity tile/fiber electromagnetic calorimeter. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 600(2). 398–407. 3 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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