Akitoshi Nakayama

516 total citations
16 papers, 320 citations indexed

About

Akitoshi Nakayama is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Akitoshi Nakayama has authored 16 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Akitoshi Nakayama's work include Cancer, Hypoxia, and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers) and Cancer, Lipids, and Metabolism (3 papers). Akitoshi Nakayama is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers) and Cancer, Lipids, and Metabolism (3 papers). Akitoshi Nakayama collaborates with scholars based in Japan and United States. Akitoshi Nakayama's co-authors include Tomoaki Tanaka, Koutaro Yokote, Sawako Suzuki, Takashi Miki, Eunyoung Lee, Hiroyuki Hosokawa, Hidekazu Nagano, Carol Prives, Hiroaki Kanda and Brent R. Stockwell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Akitoshi Nakayama

15 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akitoshi Nakayama Japan	10	160	128	82	62	61	16	320
Yang Jiang China	9	166 1.0×	123 1.0×	43 0.5×	36 0.6×	19 0.3×	23	307
Chenfeng Mao China	9	161 1.0×	78 0.6×	48 0.6×	39 0.6×	13 0.2×	11	340
Mitchell I. Parker United States	10	145 0.9×	55 0.4×	35 0.4×	31 0.5×	60 1.0×	15	294
Johanna C. Herkert Netherlands	12	194 1.2×	43 0.3×	26 0.3×	43 0.7×	16 0.3×	16	432
Yu Ting Ong Germany	7	278 1.7×	74 0.6×	26 0.3×	29 0.5×	16 0.3×	8	484
Sophie Moog France	10	114 0.7×	121 0.9×	16 0.2×	108 1.7×	103 1.7×	23	304
Nobuaki Funahashi Japan	9	206 1.3×	34 0.3×	17 0.2×	52 0.8×	60 1.0×	20	341

Countries citing papers authored by Akitoshi Nakayama

Since Specialization

Citations

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

Fields of papers citing papers by Akitoshi Nakayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akitoshi Nakayama

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

All Works

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16 of 16 papers shown

Tamura, Ai, Kazuyuki Yamagata, Takashi Kono, et al.. (2025). p53-inducible lncRNA LOC644656 causes genotoxic stress-induced stem cell maldifferentiation and cancer chemoresistance. Nature Communications. 16(1). 4818–4818.

Sakuma, Ikki, Hidekazu Nagano, Naoko Hashimoto, et al.. (2023). Identification of genotype–biochemical phenotype correlations associated with fructose 1,6-bisphosphatase deficiency. Communications Biology. 6(1). 787–787. 4 indexed citations

Suzuki, Sawako, Divya Venkatesh, Hiroaki Kanda, et al.. (2022). GLS2 Is a Tumor Suppressor and a Regulator of Ferroptosis in Hepatocellular Carcinoma. Cancer Research. 82(18). 3209–3222. 108 indexed citations

Hashimoto, Naoko, Kazuyuki Yamagata, Masataka Yokoyama, et al.. (2022). MicroRNA-874 targets phosphomevalonate kinase and inhibits cancer cell growth via the mevalonate pathway. Scientific Reports. 12(1). 18443–18443. 9 indexed citations

Fujimoto, Masanori, Masataka Yokoyama, Masahiro Kiuchi, et al.. (2022). Liver group 2 innate lymphoid cells regulate blood glucose levels through IL-13 signaling and suppression of gluconeogenesis. Nature Communications. 13(1). 5408–5408. 21 indexed citations

Kubota, Yoshitaka, Hidekazu Nagano, Akitoshi Nakayama, et al.. (2021). Epigenetic modifications underlie the differential adipogenic potential of preadipocytes derived from human subcutaneous fat tissue. American Journal of Physiology-Cell Physiology. 321(3). C596–C606. 7 indexed citations

Yokoyama, Masataka, Kazuyuki Yamagata, Hidekazu Nagano, et al.. (2021). TAS4464, a NEDD8-activating enzyme inhibitor, activates both intrinsic and extrinsic apoptotic pathways via c-Myc-mediated regulation in acute myeloid leukemia. Oncogene. 40(7). 1217–1230. 25 indexed citations

Nakayama, Akitoshi, Masataka Yokoyama, Hidekazu Nagano, et al.. (2021). Mechanism of Mutant p53 Using Three-Dimensional Culture on Breast Cancer Malignant Phenotype via SREBP-Dependent Cholesterol Synthesis Pathway. Journal of the Endocrine Society. 5(Supplement_1). A1026–A1026. 1 indexed citations

Beppu, Minako, Setsu Sawai, Akitoshi Nakayama, et al.. (2020). Monoamine oxidase B rs1799836 G allele polymorphism is a risk factor for early development of levodopa-induced dyskinesia in Parkinson's disease. eNeurologicalSci. 19. 100239–100239. 16 indexed citations

10.

Yoshida, Tomohiko, Akitoshi Nakayama, Ai Tamura, et al.. (2019). A Case of Hashimoto’s Thyroiditis with Multiple Drug Resistance and High Expression of Efflux Transporters. The Journal of Clinical Endocrinology & Metabolism. 105(2). 399–406. 6 indexed citations

11.

Nagano, Hidekazu, Naoko Hashimoto, Akitoshi Nakayama, et al.. (2018). p53-inducible DPYSL4 associates with mitochondrial supercomplexes and regulates energy metabolism in adipocytes and cancer cells. Proceedings of the National Academy of Sciences. 115(33). 8370–8375. 46 indexed citations

12.

Nagano, Hidekazu, Yoshinori Nakagawa, Naofumi Ishikawa, et al.. (2017). Seven Familial Dysalbuminemic Hyperthyroxinemia Cases in Three Unrelated Japanese Families and High-Performance Liquid Chromatography Analysis of the Thyroxine Binding Profile. Endocrine Practice. 23(11). 1325–1332. 5 indexed citations

13.

Shiba, Sachiko, Kazuhiro Ikeda, Kuniko Horie‐Inoue, et al.. (2017). Deficiency of COX7RP, a mitochondrial supercomplex assembly promoting factor, lowers blood glucose level in mice. Scientific Reports. 7(1). 7606–7606. 16 indexed citations

14.

Koide, Hisashi, Hidekazu Nagano, Akitoshi Nakayama, et al.. (2017). Multihormonal pituitary adenoma concomitant with Pit-1 and Tpit lineage cells causing acromegaly associated with subclinical Cushing’s disease: a case report. BMC Endocrine Disorders. 17(1). 54–54. 9 indexed citations

15.

Sakuma, Ikki, Masanori Fujimoto, Akitoshi Nakayama, et al.. (2015). Cushing Syndrome Due to ACTH-Secreting Pheochromocytoma, Aggravated by Glucocorticoid-Driven Positive-Feedback Loop. The Journal of Clinical Endocrinology & Metabolism. 101(3). 841–846. 31 indexed citations

16.

Suzuki, Sawako, Ichiro Tatsuno, Akitoshi Nakayama, et al.. (2015). Germline Deletion of Armc5 In Familial Primary Macronodular Adrenal Hyperplasia. Endocrine Practice. 21(10). 1152–1160. 16 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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