S Imakita

649 total citations
27 papers, 478 citations indexed

About

S Imakita is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, S Imakita has authored 27 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in S Imakita's work include Advanced MRI Techniques and Applications (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Aortic aneurysm repair treatments (6 papers). S Imakita is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Aortic aneurysm repair treatments (6 papers). S Imakita collaborates with scholars based in Japan and United States. S Imakita's co-authors include Masanari Takamiya, Makoto Takamiya, Seiki Hamada, Hiromichi Naito, Naoaki Yamada, Y Hirose, Toshihiro Nishimura, T Nishimura, Hiroyuki Naito and Tohru Sawada and has published in prestigious journals such as Stroke, Radiology and American Journal of Neuroradiology.

In The Last Decade

S Imakita

25 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Imakita Japan 13 209 199 130 84 69 27 478
W P Mali Netherlands 12 217 1.0× 236 1.2× 123 0.9× 96 1.1× 130 1.9× 22 615
Ronald Lorig United States 12 245 1.2× 121 0.6× 103 0.8× 44 0.5× 127 1.8× 21 539
Charlotte H. Rydberg United States 11 211 1.0× 233 1.2× 157 1.2× 72 0.9× 76 1.1× 22 574
Hideki Otsuka Japan 17 231 1.1× 300 1.5× 116 0.9× 43 0.5× 129 1.9× 84 701
Philippe Douek France 10 198 0.9× 464 2.3× 52 0.4× 133 1.6× 69 1.0× 11 680
A. Goldmann Germany 13 111 0.5× 164 0.8× 90 0.7× 79 0.9× 259 3.8× 32 637
P M Ruggieri United States 6 275 1.3× 226 1.1× 282 2.2× 36 0.4× 51 0.7× 7 539
Tamio Kushihashi Japan 15 221 1.1× 89 0.4× 82 0.6× 29 0.3× 167 2.4× 42 582
C Krautmacher Germany 5 140 0.7× 314 1.6× 51 0.4× 69 0.8× 150 2.2× 5 553
Norihiko Kume Japan 13 207 1.0× 141 0.7× 52 0.4× 46 0.5× 117 1.7× 54 445

Countries citing papers authored by S Imakita

Since Specialization
Citations

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

Fields of papers citing papers by S Imakita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Imakita

This figure shows the co-authorship network connecting the top 25 collaborators of S Imakita. A scholar is included among the top collaborators of S Imakita 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 S Imakita. S Imakita 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.
Nakamura, Mitsuhiro, et al.. (2025). Galectin-3 in endometrial small extracellular vesicles promotes cytotrophoblast cell fusion during the implantation phase. Cell Communication and Signaling. 24(1). 41–41.
2.
Yanai, Ayako, Akihito Horie, S Imakita, et al.. (2025). Innovative AI models for clinical decision-making: predicting blastocyst formation and quality from time-lapse embryo images up to embryonic day 3. Computers in Biology and Medicine. 195. 110637–110637.
3.
Yamada, Nobuko, et al.. (1999). [MR angiography of steno-occlusive lesions of intracranial arteries: a comparative study between turbo MRA and conventional MRA].. PubMed. 59(11). 504–9. 3 indexed citations
4.
Imakita, S, Yuki ONISHI, Takuya Hashimoto, et al.. (1998). Subtraction CT angiography with controlled-orbit helical scanning for detection of intracranial aneurysms.. American Journal of Neuroradiology. 19(2). 291–5. 52 indexed citations
5.
Imakita, S, et al.. (1996). Intracranial calcification on gradient-echo phase image: depiction of diamagnetic susceptibility.. Radiology. 198(1). 171–178. 101 indexed citations
6.
Hirose, Y, et al.. (1993). [Growth rates of aortic aneurysms as a risk factor in rupture: an evaluation with CT].. PubMed. 53(6). 635–40. 4 indexed citations
7.
Hirose, Y, Seiki Hamada, Masanari Takamiya, et al.. (1992). Aortic aneurysms: growth rates measured with CT.. Radiology. 185(1). 249–252. 80 indexed citations
8.
Naito, Hiroaki, Haruo Saito, Makoto Takamiya, et al.. (1992). Quantitative Assessment of Myocardial Enhancement with Iodinated Contrast Medium in Patients with Ischemic Heart Disease by Using Ultrafast X-Ray Computed Tomography. Investigative Radiology. 27(6). 436–442. 15 indexed citations
9.
Hamada, Seiki, et al.. (1992). Type A aortic dissection: evaluation with ultrafast CT.. Radiology. 183(1). 155–158. 23 indexed citations
10.
Hayashida, Kentaro, T Nishimura, S Imakita, & Toshiisa Uehara. (1991). Validation to eliminate vascular activity on 99 Tcm-HMPAO brain SPECT for regional cerebral blood flow (rCBF) determination. Nuclear Medicine Communications. 12(6). 545–550. 2 indexed citations
11.
Hayashida, Kentaro, T Nishimura, S Imakita, et al.. (1991). Change of accumulation and filling pattern in evolution of cerebral infarction with I-123 IMP brain SPECT. Neuroradiology. 33(1). 9–14. 5 indexed citations
12.
Kazui, Seiji, et al.. (1991). Sequential gadolinium-DTPA enhanced MRI studies in neuro-Beh�et's disease. Neuroradiology. 33(2). 136–139. 12 indexed citations
13.
Yamada, Naoaki, S Imakita, Y Nishimura, et al.. (1990). Evaluation of the susceptibility effect on the phase images of a simple gradient echo.. Radiology. 175(2). 561–565. 29 indexed citations
14.
Hayashida, Kohei, T Nishimura, S Imakita, & Toshiisa Uehara. (1989). Filling out phenomenon with technetium-99m HM-PAO brain SPECT at the site of mild cerebral ischemia.. PubMed. 30(5). 591–8. 12 indexed citations
15.
Imakita, S, T Nishimura, Naoaki Yamada, et al.. (1989). Cerebral vascular malformations: applications of magentic resonance imaging to differential diagnosis. Neuroradiology. 31(4). 320–325. 19 indexed citations
16.
Nishimura, T, Kentaro Hayashida, Toshiisa Uehara, et al.. (1988). Two patients with meningioma visualized as high uptake by SPECT with N-isopropyl-p-iodo-amphetamine (I-123). Neuroradiology. 30(4). 351–354. 13 indexed citations
17.
Imakita, S, T Nishimura, Naoaki Yamada, et al.. (1988). Magnetic resonance imaging of cerebral infarction: Time course of Gd-DTPA enhancement and CT comparison. Neuroradiology. 30(5). 372–378. 33 indexed citations
18.
Miyashita, Kotaro, Hiroaki Naritomi, Tohru Sawada, et al.. (1988). Identification of recent lacunar lesions in cases of multiple small infarctions by magnetic resonance imaging.. Stroke. 19(7). 834–839. 23 indexed citations
19.
Imakita, S, T Nishimura, Hiroyuki Naito, et al.. (1987). Magnetic resonance imaging of human cerebral infarction: Enhancement with Gd-DTPA. Neuroradiology. 29(5). 422–429. 26 indexed citations
20.
Hirabuki, Norio, T Marukawa, S Imakita, et al.. (1985). [A case of hypertrophic pachymeningitis].. PubMed. 30(5). 613–6. 2 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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