Nagako Akeno

2.8k total citations · 1 hit paper
30 papers, 2.1k citations indexed

About

Nagako Akeno is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Nagako Akeno has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Oncology. Recurrent topics in Nagako Akeno's work include Thyroid Disorders and Treatments (6 papers), Vitamin D Research Studies (5 papers) and Cancer-related Molecular Pathways (5 papers). Nagako Akeno is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Vitamin D Research Studies (5 papers) and Cancer-related Molecular Pathways (5 papers). Nagako Akeno collaborates with scholars based in United States, Japan and United Kingdom. Nagako Akeno's co-authors include Thomas L. Clemens, Noboru Horiuchi, Yaron Tomer, Jared C. Robins, Guisheng Zhao, Jason T. Blackard, Tetsuya Kawane, Argiris Efstratiadis, Mei Zhang and Mary Bouxsein 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

Nagako Akeno

29 papers receiving 2.0k citations

Hit Papers

Osteoblast-specific Knock... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nagako Akeno United States 19 932 559 464 390 341 30 2.1k
Heide Siggelkow Germany 23 752 0.8× 463 0.8× 432 0.9× 167 0.4× 259 0.8× 90 2.0k
S Bord United Kingdom 25 1.1k 1.2× 284 0.5× 642 1.4× 323 0.8× 518 1.5× 30 2.1k
Rosamund McNair United Kingdom 13 920 1.0× 239 0.4× 178 0.4× 209 0.5× 543 1.6× 15 3.0k
K.W. Ng Australia 24 1.3k 1.4× 277 0.5× 945 2.0× 214 0.5× 184 0.5× 40 1.9k
Keertik Fulzele United States 17 997 1.1× 299 0.5× 524 1.1× 174 0.4× 166 0.5× 37 1.9k
Aditi Mukherjee United States 14 1.3k 1.4× 192 0.3× 460 1.0× 317 0.8× 221 0.6× 23 1.8k
Jukka Melkko Finland 24 548 0.6× 285 0.5× 757 1.6× 252 0.6× 253 0.7× 38 2.5k
Jian-Su Shao United States 15 855 0.9× 133 0.2× 249 0.5× 137 0.4× 545 1.6× 17 2.2k
D J Baylink United States 22 803 0.9× 645 1.2× 346 0.7× 168 0.4× 325 1.0× 45 2.0k
S. C. Manolagas United States 10 1.3k 1.4× 186 0.3× 837 1.8× 155 0.4× 423 1.2× 14 2.2k

Countries citing papers authored by Nagako Akeno

Since Specialization
Citations

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

Fields of papers citing papers by Nagako Akeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagako Akeno

This figure shows the co-authorship network connecting the top 25 collaborators of Nagako Akeno. A scholar is included among the top collaborators of Nagako Akeno 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 Nagako Akeno. Nagako Akeno 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.
Smith, Eric P., et al.. (2025). Exhaled carbon monoxide: variations due to collection method and physiology. Journal of Breath Research. 19(2). 26007–26007.
2.
Chen, Danian, Suying Lü, Katherine Huang, et al.. (2025). Cell cycle duration determines oncogenic transformation capacity. Nature. 641(8065). 1309–1318. 3 indexed citations
3.
Akeno, Nagako, Melissa K. Callahan, Ashley L. Miller, et al.. (2017). TRP53 Mutants Drive Neuroendocrine Lung Cancer Through Loss-of-Function Mechanisms with Gain-of-Function Effects on Chemotherapy Response. Molecular Cancer Therapeutics. 16(12). 2913–2926. 11 indexed citations
4.
Akeno, Nagako, et al.. (2017). p16 controls epithelial cell growth and suppresses carcinogenesis through mechanisms that do not require RB1 function. Oncogenesis. 6(4). e320–e320. 8 indexed citations
5.
Akeno, Nagako, Ashley L. Miller, Xiaoxiao Ma, & Kathryn A. Wikenheiser‐Brokamp. (2014). p53 suppresses carcinoma progression by inhibiting mTOR pathway activation. Oncogene. 34(5). 589–599. 48 indexed citations
6.
Croyle, Michelle, Nagako Akeno, Jeffrey A. Knauf, et al.. (2008). RET/PTC-Induced Cell Growth Is Mediated in Part by Epidermal Growth Factor Receptor (EGFR) Activation: Evidence for Molecular and Functional Interactions between RET and EGFR. Cancer Research. 68(11). 4183–4191. 73 indexed citations
7.
Tomer, Yaron, Jason T. Blackard, & Nagako Akeno. (2007). Interferon Alpha Treatment and Thyroid Dysfunction. Endocrinology and Metabolism Clinics of North America. 36(4). 1051–1066. 97 indexed citations
8.
Huber, Amanda K., Nagako Akeno, Mark Sivak, et al.. (2007). A CD40 Kozak sequence polymorphism and susceptibility to antibody-mediated autoimmune conditions: the role of CD40 tissue-specific expression. Genes and Immunity. 8(3). 205–214. 78 indexed citations
9.
10.
Akeno, Nagako, Jared C. Robins, Mei Zhang, Maria Czyzyk-Krzeska, & Thomas L. Clemens. (2002). Induction of Vascular Endothelial Growth Factor by IGF-I in Osteoblast-Like Cells Is Mediated by the PI3K Signaling Pathway through the Hypoxia-Inducible Factor-2α. Endocrinology. 143(2). 420–425. 112 indexed citations
11.
Zhang, Mei, Shouhong Xuan, Mary Bouxsein, et al.. (2002). Osteoblast-specific Knockout of the Insulin-like Growth Factor (IGF) Receptor Gene Reveals an Essential Role of IGF Signaling in Bone Matrix Mineralization. Journal of Biological Chemistry. 277(46). 44005–44012. 562 indexed citations breakdown →
13.
Akeno, Nagako, Maria Czyzyk-Krzeska, Ted S. Gross, & Thomas L. Clemens. (2001). Hypoxia Induces Vascular Endothelial Growth Factor Gene Transcription in Human Osteoblast-Like Cells through the Hypoxia-Inducible Factor-2α. Endocrinology. 142(2). 959–962. 80 indexed citations
14.
Gross, Ted S., et al.. (2001). Selected Contribution: Osteocytes upregulate HIF-1α in response to acute disuse and oxygen deprivation. Journal of Applied Physiology. 90(6). 2514–2519. 59 indexed citations
15.
Akeno, Nagako, Ayako Matsunuma, T Maeda, Tetsuya Kawane, & Noboru Horiuchi. (2000). Regulation of vitamin D-1alpha-hydroxylase and -24-hydroxylase expression by dexamethasone in mouse kidney. Journal of Endocrinology. 164(3). 339–348. 72 indexed citations
16.
Akeno, Nagako, et al.. (1999). Regulation of Small Intestinal Transit by Central Nervous Calcitonin Receptor. Hormone and Metabolic Research. 31(9). 499–504. 3 indexed citations
17.
Kawane, Tetsuya, et al.. (1997). Starvation-induced increase in the parathyroid hormone/PTH-related protein receptor mRNA of bone and kidney in sham-operated and thyroparathyroidectomized rats. European Journal of Endocrinology. 137(3). 273–280. 10 indexed citations
18.
Akeno, Nagako, et al.. (1996). Matrix metalloproteinases‐1 and ‐8 and TIMP‐1 mRNA levels in normal and diseased human gingivae. European Journal Of Oral Sciences. 104(5-6). 562–569. 72 indexed citations
20.
Akeno, Nagako, et al.. (1994). Induction of vitamin D 24-hydroxylase messenger RNA and activity by 22-oxacalcitriol in mouse kidney and duodenum. Biochemical Pharmacology. 48(11). 2081–2090. 12 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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