Mana Ishibashi

444 total citations
26 papers, 295 citations indexed

About

Mana Ishibashi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Mana Ishibashi has authored 26 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Neurology. Recurrent topics in Mana Ishibashi's work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (3 papers). Mana Ishibashi is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (3 papers). Mana Ishibashi collaborates with scholars based in Japan and United States. Mana Ishibashi's co-authors include Shinya Fujii, Toshihide Ogawa, Tadashi Watabe, Yuki Shinohara, Masatoyo Nakajo, Jun Hatazawa, Eku Shimosegawa, Kayako Isohashi, Hiroki Kato and Takayoshi Ishimori and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mana Ishibashi

25 papers receiving 289 citations

Peers

Mana Ishibashi
P. Ferrazza Italy
Frédérique Charbonneau France
Ra Gyoung Yoon South Korea
Tomasz Bandurski Poland
Jianxun Qu China
Adam Bauer United States
Wolfgang Marik Austria
Hiroto Murata Japan
Ender Uysal Türkiye
Kristen L. Baugnon United States
P. Ferrazza Italy
Mana Ishibashi
Citations per year, relative to Mana Ishibashi Mana Ishibashi (= 1×) peers P. Ferrazza

Countries citing papers authored by Mana Ishibashi

Since Specialization
Citations

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

Fields of papers citing papers by Mana Ishibashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mana Ishibashi

This figure shows the co-authorship network connecting the top 25 collaborators of Mana Ishibashi. A scholar is included among the top collaborators of Mana Ishibashi 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 Mana Ishibashi. Mana Ishibashi 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.
Ishibashi, Mana, Shota Kondo, Yusuke Ochi, et al.. (2025). 18F-FDG dose reduction using deep learning-based PET reconstruction. EJNMMI Research. 15(1). 78–78.
2.
Nakamura, Yuko, Shota Kondo, Keigo Narita, et al.. (2022). Understanding CT imaging findings based on the underlying pathophysiology in patients with small bowel ischemia. Japanese Journal of Radiology. 41(4). 353–366. 21 indexed citations
3.
Kaida, Hayato, Kazuhiro Kitajima, Masatoyo Nakajo, et al.. (2021). Predicting tumor response and prognosis to neoadjuvant chemotherapy in esophageal squamous cell carcinoma patients using PERCIST: a multicenter study in Japan. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3666–3682. 4 indexed citations
4.
Daisaki, Hiromitsu, Kazuhiro Kitajima, Masatoyo Nakajo, et al.. (2021). Usefulness of semi-automatic harmonization strategy of standardized uptake values for multicenter PET studies. Scientific Reports. 11(1). 8517–8517. 14 indexed citations
5.
Fujii, Shinya, et al.. (2021). MR imaging findings of unusual leiomyoma and malignant uterine myometrial tumors: what the radiologist should know. Japanese Journal of Radiology. 39(6). 527–539. 5 indexed citations
6.
7.
Ito, Kimiteru, Kazuhiro Kitajima, Akira Toriihara, et al.. (2021). 18F-FDG PET/CT for monitoring anti-PD-1 therapy in patients with non-small cell lung cancer using SUV harmonization of results obtained with various types of PET/CT scanners used at different centers. Annals of Nuclear Medicine. 35(11). 1253–1263. 6 indexed citations
8.
Ishibashi, Mana, et al.. (2020). Ovarian solid tumors: MR imaging features with radiologic–pathologic correlation. Japanese Journal of Radiology. 38(8). 719–730. 4 indexed citations
9.
Ohta, Yasutoshi, et al.. (2020). Effect of energy difference in the evaluation of calcification size and luminal diameter in calcified coronary artery plaque using spectral CT. Japanese Journal of Radiology. 38(12). 1142–1149. 6 indexed citations
10.
Kitajima, Kazuhiro, Koya Nakatani, Masatoyo Nakajo, et al.. (2018). Response to neoadjuvant chemotherapy for breast cancer judged by PERCIST – multicenter study in Japan. European Journal of Nuclear Medicine and Molecular Imaging. 45(10). 1661–1671. 26 indexed citations
11.
12.
Ogawa, Toshihide, et al.. (2018). Role of Neuroimaging on Differentiation of Parkinson’s Disease and Its Related Diseases. Yonago acta medica. 61(3). 145–155. 22 indexed citations
13.
Ishibashi, Mana, et al.. (2017). Pictorial review of 18F-FDG PET/CT findings in musculoskeletal lesions. Annals of Nuclear Medicine. 31(6). 437–453. 1 indexed citations
14.
Horitsugi, Genki, Tadashi Watabe, Yasukazu Kanai, et al.. (2017). Oxygen-15 labeled CO2, O2, and CO PET in small animals: evaluation using a 3D-mode microPET scanner and impact of reconstruction algorithms. EJNMMI Research. 7(1). 91–91. 13 indexed citations
15.
Watabe, Tadashi, Sadahiro Naka, Hayato Ikeda, et al.. (2014). Distribution of Intravenously Administered Acetylcholinesterase Inhibitor and Acetylcholinesterase Activity in the Adrenal Gland: 11C-Donepezil PET Study in the Normal Rat. PLoS ONE. 9(9). e107427–e107427. 6 indexed citations
16.
Watabe, Tadashi, Eku Shimosegawa, Hiroki Kato, et al.. (2014). CBF/CBV maps in normal volunteers studied with 15O PET: a possible index of cerebral perfusion pressure. Neuroscience Bulletin. 30(5). 857–862. 13 indexed citations
17.
Watabe, Tadashi, Eku Shimosegawa, Hiroki Kato, et al.. (2014). Paradoxical reduction of cerebral blood flow after acetazolamide loading: a hemodynamic and metabolic study with 15O PET. Neuroscience Bulletin. 30(5). 845–856. 8 indexed citations
18.
Watanabe, Yuji, Akito Terai, Tohru Araki, et al.. (2012). Detection and localization of prostate cancer with the targeted biopsy strategy based on ADC Map: A prospective large‐scale cohort study. Journal of Magnetic Resonance Imaging. 35(6). 1414–1421. 41 indexed citations
19.
Ishibashi, Mana, Shinya Fujii, Keisuke Nishihara, et al.. (2010). The ability to identify the intraparotid facial nerve for locating parotid gland lesions in comparison to other indirect landmark methods: evaluation by 3.0 T MR imaging with surface coils. Neuroradiology. 52(11). 1037–1045. 14 indexed citations
20.
Ishibashi, Mana, et al.. (2009). Intrathoracic splenosis: evaluation by superparamagnetic iron oxide-enhanced magnetic resonance imaging and radionuclide scintigraphy. Japanese Journal of Radiology. 27(9). 371–374. 8 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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