Kenji Karako

637 total citations
41 papers, 336 citations indexed

About

Kenji Karako is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Modeling and Simulation. According to data from OpenAlex, Kenji Karako has authored 41 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Psychiatry and Mental health and 8 papers in Modeling and Simulation. Recurrent topics in Kenji Karako's work include COVID-19 epidemiological studies (8 papers), Dementia and Cognitive Impairment Research (7 papers) and COVID-19 diagnosis using AI (6 papers). Kenji Karako is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Dementia and Cognitive Impairment Research (7 papers) and COVID-19 diagnosis using AI (6 papers). Kenji Karako collaborates with scholars based in Japan, China and United States. Kenji Karako's co-authors include Peipei Song, Wei Tang, Yu Chen, Wei Tang, Norihiro Kokudo, Peipei Song, Yu Chen, Peipei Song, Yu Chen and Xiqi Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Care and Advances in experimental medicine and biology.

In The Last Decade

Kenji Karako

35 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Karako Japan 10 90 70 50 48 45 41 336
Nathalia González-Jaramillo Switzerland 9 145 1.6× 73 1.0× 45 0.9× 28 0.6× 74 1.6× 24 397
Juliana Tolles United States 8 92 1.0× 35 0.5× 58 1.2× 35 0.7× 28 0.6× 24 313
Yu-Tsen Yeh United Kingdom 14 73 0.8× 38 0.5× 42 0.8× 39 0.8× 37 0.8× 26 381
Emily Stoneman United States 8 37 0.4× 227 3.2× 71 1.4× 29 0.6× 21 0.5× 14 412
Mehrzad MohsseniPour Iran 12 51 0.6× 284 4.1× 61 1.2× 30 0.6× 18 0.4× 19 549
Fatemeh Ghadimi Iran 11 35 0.4× 117 1.7× 40 0.8× 12 0.3× 21 0.5× 25 322
Farzin Vahedi Iran 13 58 0.6× 285 4.1× 82 1.6× 37 0.8× 35 0.8× 19 599
Olga Morozova United States 14 39 0.4× 139 2.0× 205 4.1× 70 1.5× 28 0.6× 52 519
Wen Zheng China 11 281 3.1× 241 3.4× 98 2.0× 21 0.4× 66 1.5× 48 617
Thomas F. Osborne United States 11 27 0.3× 188 2.7× 48 1.0× 20 0.4× 17 0.4× 44 406

Countries citing papers authored by Kenji Karako

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Karako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Karako

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Karako. A scholar is included among the top collaborators of Kenji Karako 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 Kenji Karako. Kenji Karako 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
3.
Karako, Kenji, et al.. (2025). Interpretable machine learning model for outcome prediction in patients with aneurysmatic subarachnoid hemorrhage. Critical Care. 29(1). 36–36. 2 indexed citations
4.
Ma, Yanan, et al.. (2025). Serum proteomics reveals early biomarkers of Alzheimer's disease: The dual role of <i>APOE-ε4 </i>. BioScience Trends. 19(1). 1–9. 5 indexed citations
5.
Huang, Runze, Xue Bai, Wei Tang, et al.. (2025). Advances in research on receptor heterogeneity in breast cancer liver metastasis. BioScience Trends. 19(2). 165–172. 2 indexed citations
6.
Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2025). The potential and challenges of TREM2-targeted therapy in Alzheimer’s disease: insights from the INVOKE-2 study. Frontiers in Aging Neuroscience. 17. 1576020–1576020. 6 indexed citations
7.
Ma, Yanan, Ying Xia, Kenji Karako, et al.. (2025). Decoding Alzheimer’s Disease: Single-Cell Sequencing Uncovers Brain Cell Heterogeneity and Pathogenesis. Molecular Neurobiology. 62(11). 14459–14473.
8.
Deng, Yi, Katsuya Yamauchi, Kenji Karako, & Peipei Song. (2025). Dual community-based care innovations in a super-aged population: The role of Small-scale Multifunctional In-home Care and Nursing Small-scale Multifunctional In-home Care in Japan. BioScience Trends. 19(6). 619–625. 1 indexed citations
9.
Karako, Kenji. (2024). Predictive deep learning models for cognitive risk using accessible data. BioScience Trends. 18(1). 66–72.
10.
Takayama, Morimasa, Kyoji Ito, Kenji Karako, et al.. (2024). An artificial intelligence‐based recognition model of colorectal liver metastases in intraoperative ultrasonography with improved accuracy through algorithm integration. Journal of Hepato-Biliary-Pancreatic Sciences. 32(1). 58–68. 2 indexed citations
11.
Hu, Xiqi, et al.. (2024). Guardians of memory: The urgency of early dementia screening in an aging society. Intractable & Rare Diseases Research. 13(3). 133–137. 1 indexed citations
12.
Karako, Kenji & Wei Tang. (2024). Applications of and issues with machine learning in medicine: Bridging the gap with explainable AI. BioScience Trends. 18(6). 497–504. 9 indexed citations
13.
Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2024). Agarwood as a potential therapeutic for Alzheimer's disease: Mechanistic insights and target identification. Drug Discoveries & Therapeutics. 18(6). 375–386. 1 indexed citations
14.
Oyama, Katsunori, Yohei Nakayama, Ryoki Kobayashi, et al.. (2024). Enhancing dementia risk screening with GAN-synthesized periodontal examination and general blood test data. Frontiers in Neurology. 15. 1379916–1379916.
15.
Liu, Yu, Susumu Kobayashi, Kenji Karako, Peipei Song, & Wei Tang. (2024). The latest policies, practices, and hotspots in research in conjunction with the aging of Japan's population. BioScience Trends. 18(3). 219–223. 8 indexed citations
16.
Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2024). Exploring the multiple therapeutic mechanisms and challenges of mesenchymal stem cell-derived exosomes in Alzheimer's disease. BioScience Trends. 18(5). 413–430. 8 indexed citations
17.
Hu, Xiqi, et al.. (2024). Comprehensive assessment and treatment strategies for dysphagia in the elderly population: Current status and prospects. BioScience Trends. 18(2). 116–126. 4 indexed citations
18.
Karako, Kenji, et al.. (2023). Improving the sensitivity of liver tumor classification in ultrasound images <i>via</i> a power-law shot noise model. BioScience Trends. 17(2). 117–125. 1 indexed citations
19.
Karako, Kenji, Peipei Song, Yu Chen, & Wei Tang. (2023). New possibilities for medical support systems utilizing artificial intelligence (AI) and data platforms. BioScience Trends. 17(3). 186–189. 10 indexed citations
20.
Karako, Kenji, Junichi Arita, Akihiko Ichida, et al.. (2021). Automated liver tumor detection in abdominal ultrasonography with a modified faster region-based convolutional neural networks (Faster R-CNN) architecture. HepatoBiliary Surgery and Nutrition. 11(5). 675–683. 15 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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