Akihiko Wada

7.5k total citations · 1 hit paper
257 papers, 5.8k citations indexed

About

Akihiko Wada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Akihiko Wada has authored 257 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 72 papers in Cellular and Molecular Neuroscience and 67 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Akihiko Wada's work include Ion channel regulation and function (43 papers), Advanced Neuroimaging Techniques and Applications (40 papers) and Receptor Mechanisms and Signaling (33 papers). Akihiko Wada is often cited by papers focused on Ion channel regulation and function (43 papers), Advanced Neuroimaging Techniques and Applications (40 papers) and Receptor Mechanisms and Signaling (33 papers). Akihiko Wada collaborates with scholars based in Japan, United States and Hungary. Akihiko Wada's co-authors include Hideyuki Kobayashi, Toshihiko Yanagita, Nobuyuki Yanagihara, Hiroki Yokoo, Futoshi Izumi, Tanenao Eto, Izumi Fukuda, Akifumi Hagiwara, Masaaki Hori and Koji Kamagata and has published in prestigious journals such as Immunity, Circulation Research and Neurology.

In The Last Decade

Akihiko Wada

243 papers receiving 5.7k citations

Hit Papers

Association of MRI Indices of Glymphatic System With Amyl... 2022 2026 2023 2024 2022 50 100 150

Peers

Akihiko Wada
Christopher Huang United Kingdom
Richard A. Hawkins United States
Alan M. Laties United States
Marjorie R. Grafe United States
Thomas V. Bilfinger United States
Sami I. Harik United States
Mark L. Cohen United States
Christopher Huang United Kingdom
Akihiko Wada
Citations per year, relative to Akihiko Wada Akihiko Wada (= 1×) peers Christopher Huang

Countries citing papers authored by Akihiko Wada

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Wada. A scholar is included among the top collaborators of Akihiko Wada 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 Akihiko Wada. Akihiko Wada 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.
Tanaka, Yuya, Koji Kamagata, Yuya Saito, et al.. (2025). The coupling of global brain activity and cerebrospinal fluid flow as a potential predictive marker of brain amyloid-β accumulation. The Journal of Prevention of Alzheimer s Disease. 12(8). 100228–100228.
3.
Wada, Akihiko, Toshiaki Akashi, George Shih, et al.. (2024). Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds. Diagnostics. 14(14). 1541–1541. 13 indexed citations
4.
Saito, Yuya, Koji Kamagata, Christina Andica, et al.. (2023). Traveling Subject-Informed Harmonization Increases Reliability of Brain Diffusion Tensor and Neurite Mapping. Aging and Disease. 15(6). 0–0. 3 indexed citations
5.
Hagiwara, Akifumi, Yuji Tomizawa, Kazumasa Yokoyama, et al.. (2023). Glymphatic System Dysfunction in Myelin Oligodendrocyte Glycoprotein Immunoglobulin G Antibody–Associated Disorders: Association with Clinical Disability. American Journal of Neuroradiology. 45(1). 66–71. 10 indexed citations
6.
Saito, Yuya, Koji Kamagata, Christina Andica, et al.. (2023). Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS). Japanese Journal of Radiology. 41(11). 1226–1235. 13 indexed citations
7.
Wada, Akihiko, Toshiaki Akashi, Akifumi Hagiwara, et al.. (2023). Deep Learning‐Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization. Journal of Magnetic Resonance Imaging. 60(2). 510–522. 3 indexed citations
8.
Kikuta, Junko, Koji Kamagata, Masahiro Abe, et al.. (2022). Effects of Arterial Stiffness on Cerebral WM Integrity in Older Adults: A Neurite Orientation Dispersion and Density Imaging and Magnetization Transfer Saturation Imaging Study. American Journal of Neuroradiology. 43(12). 1706–1712. 2 indexed citations
9.
Andica, Christina, Koji Kamagata, Taku Hatano, et al.. (2020). Neurocognitive and psychiatric disorders‐related axonal degeneration in Parkinson's disease. Journal of Neuroscience Research. 98(5). 936–949. 15 indexed citations
10.
Hagiwara, Akifumi, Christina Andica, Kazumasa Yokoyama, et al.. (2020). Myelin Measurement Using Quantitative Magnetic Resonance Imaging: A Correlation Study Comparing Various Imaging Techniques in Patients with Multiple Sclerosis. Cells. 9(2). 393–393. 25 indexed citations
11.
Andica, Christina, Koji Kamagata, Taku Hatano, et al.. (2019). Free-Water Imaging in White and Gray Matter in Parkinson’s Disease. Cells. 8(8). 839–839. 48 indexed citations
12.
Hagiwara, Akifumi, Koji Kamagata, Keigo Shimoji, et al.. (2019). White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging. American Journal of Neuroradiology. 40(10). 1642–1648. 50 indexed citations
13.
Kamagata, Koji, Christina Andica, Taku Hatano, et al.. (2019). Evaluation of white matter microstructure in patients with Parkinson’s disease using microscopic fractional anisotropy. Neuroradiology. 62(2). 197–203. 7 indexed citations
14.
Berre, Alice Le, Koji Kamagata, Yujiro Otsuka, et al.. (2019). Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI. Neuroradiology. 61(12). 1387–1395. 30 indexed citations
15.
Kamagata, Koji, Eiji Kirino, Christina Andica, et al.. (2019). White matter alterations in adult with autism spectrum disorder evaluated using diffusion kurtosis imaging. Neuroradiology. 61(12). 1343–1353. 16 indexed citations
16.
Maekawa, Tomoko, Masaaki Hori, Katsutoshi Murata, et al.. (2018). Choroid plexus cysts analyzed using diffusion-weighted imaging with short diffusion-time. Magnetic Resonance Imaging. 57. 323–327. 14 indexed citations
17.
Yamamoto, Yuki, et al.. (2013). Radiation-induced lung injury outside the irradiated area after radiation therapy for breast cancer. 2(3). 169–174. 1 indexed citations
18.
Yamämoto, Yasushi, et al.. (2011). Evaluation of Shortened Protocol of Graph Plot Method with <sup>123</sup>I-IMP. Japanese Journal of Radiological Technology. 67(5). 524–533.
19.
Ueda, Takashi, et al.. (2003). Usefulness of 3D-VIBE Method in Breast Dynamic MRI : Imaging Parameters and Contrasting Effects. Japanese Journal of Radiological Technology. 59(6). 759–764. 4 indexed citations
20.
Ueda, Takashi, et al.. (2003). Fundamental Study of the Relation Between Flow Velocity and Signal Intensity in the TrueFISP Sequence. Japanese Journal of Radiological Technology. 59(12). 1529–1534. 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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