Etsuko Kobayashi

4.4k total citations
194 papers, 3.0k citations indexed

About

Etsuko Kobayashi is a scholar working on Biomedical Engineering, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Etsuko Kobayashi has authored 194 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Biomedical Engineering, 59 papers in Surgery and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Etsuko Kobayashi's work include Soft Robotics and Applications (34 papers), Surgical Simulation and Training (25 papers) and Anatomy and Medical Technology (18 papers). Etsuko Kobayashi is often cited by papers focused on Soft Robotics and Applications (34 papers), Surgical Simulation and Training (25 papers) and Anatomy and Medical Technology (18 papers). Etsuko Kobayashi collaborates with scholars based in Japan, China and United States. Etsuko Kobayashi's co-authors include Ichiro Sakuma, Yasushi Suwazono, Kōji Nogawa, Junchen Wang, Ken Masamune, Teruhiko Kido, Yasushi Okubo, Hideyuki Suenaga, Hongen Liao and L. Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Etsuko Kobayashi

178 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Etsuko Kobayashi Japan 28 1.1k 720 459 381 366 194 3.0k
Makoto Yamamoto Japan 35 504 0.4× 615 0.9× 119 0.3× 239 0.6× 254 0.7× 415 5.0k
Jong Min Lee South Korea 44 215 0.2× 785 1.1× 82 0.2× 1.3k 3.5× 111 0.3× 325 6.5k
Xiaolei Chen China 36 477 0.4× 524 0.7× 235 0.5× 582 1.5× 47 0.1× 291 4.2k
Andréa Aliverti Italy 46 1.7k 1.5× 848 1.2× 333 0.7× 288 0.8× 159 0.4× 335 8.2k
David T. Martin Australia 52 796 0.7× 291 0.4× 27 0.1× 225 0.6× 381 1.0× 198 7.4k
Sean Gallagher United States 29 586 0.5× 344 0.5× 42 0.1× 86 0.2× 214 0.6× 185 3.5k
Jie Chen China 42 423 0.4× 1.8k 2.4× 55 0.1× 265 0.7× 55 0.2× 435 6.2k
Urban Wiklund Sweden 43 620 0.6× 572 0.8× 75 0.2× 186 0.5× 125 0.3× 205 5.9k
Giandomenico Nollo Italy 41 1.2k 1.0× 532 0.7× 62 0.1× 316 0.8× 29 0.1× 206 5.1k
David Kerr United Kingdom 38 200 0.2× 635 0.9× 472 1.0× 41 0.1× 468 1.3× 198 4.5k

Countries citing papers authored by Etsuko Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etsuko Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Etsuko Kobayashi. A scholar is included among the top collaborators of Etsuko Kobayashi 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 Etsuko Kobayashi. Etsuko Kobayashi 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
2.
Kobayashi, Etsuko, et al.. (2024). Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning. International Journal of Computer Assisted Radiology and Surgery. 20(4). 625–633.
3.
Ohya, Takashi, et al.. (2023). Diameters of lingual, facial, and maxillary arteries measured according to an objective protocol on 3D computed tomography angiography images. International Journal of Computer Assisted Radiology and Surgery. 19(2). 303–308. 1 indexed citations
4.
Komai, Yoshinobu, Hitoshi Masuda, Akira Ogawa, et al.. (2022). Development of a New Two-Arm Transurethral Surgical System for En Bloc Resection of Bladder Tumor: A Preclinical Study. Journal of Endourology. 37(2). 165–170. 3 indexed citations
5.
Kobayashi, Etsuko, et al.. (2022). A pilot study on an electromagnetic tracking system using tunneling magnetoresistance (TMR) sensors applicable to a 4F catheter (1.4 mm in diameter). International Journal of Computer Assisted Radiology and Surgery. 18(1). 17–27. 2 indexed citations
6.
Ma, Lei, Junchen Wang, Tomomichi Kiyomatsu, et al.. (2021). Deformation of the Pelvic Arteries Caused by Pneumoperitoneum and Postural Changes in an Animal Model. In Vivo. 35(1). 275–281. 4 indexed citations
7.
Ma, Lei, et al.. (2018). Accurate vessel segmentation in ultrasound images using a local-phase-based snake. Biomedical Signal Processing and Control. 43. 236–243. 10 indexed citations
8.
Li, Bing Nan, et al.. (2017). OpenMRE: A Numerical Platform for MRE Study. IEEE Transactions on Systems Man and Cybernetics Systems. 50(3). 1111–1121. 9 indexed citations
9.
Yamauchi, Yasushi, Ken Masamune, Etsuko Kobayashi, Takeyoshi Dohi, & Hiroshi Iseki. (2013). Needle Insertion Robotic Systems for Image-guided Stereotactic Neurosurgery. 15(1). 5–10.
10.
Ohya, Takashi, Toshinori Iwai, Takashi Kato, et al.. (2012). Analysis of carotid artery deformation in different head and neck positions for maxillofacial catheter navigation in advanced oral cancer treatment. BioMedical Engineering OnLine. 11(1). 65–65. 7 indexed citations
11.
Sakuma, Ichiro, et al.. (2006). Development of bending and grasping manipulator for multi degrees of freedom ultrasonically activated scalpel. International Journal of Computer Assisted Radiology and Surgery. 1. 222–223. 4 indexed citations
12.
Suzuki, Takashi, Hongen Liao, Etsuko Kobayashi, & Ichiro Sakuma. (2006). A Novel Magnetic Resonance Imaging-compatible Motor Control Method for Image-guided Robotic Surgery. 44(4). 728–734. 1 indexed citations
13.
Suwazono, Yasushi, Etsuko Kobayashi, Mirei Uetani, et al.. (2006). Low‐density lipoprotein receptor‐related protein 5 variant Q89R is associated with hypertension in Japanese females. Blood Pressure. 15(2). 80–87. 10 indexed citations
14.
Suzuki, Takashi, et al.. (2005). BENDING AND INSERTING MECHANISMS FOR MULTI-DOF LIVER ABLATION MANIPULATOR. 7(2). 183–184. 1 indexed citations
15.
Yamashita, Hiromasa, Takashi Suzuki, Etsuko Kobayashi, et al.. (2005). DEVELOPMENT OF ENDOSCOPIC FORCEPS MANIPULATOR USING MULTI-SLIDER LINKAGE MECHANISMS. 7(2). 201–204. 34 indexed citations
16.
Suzuki, Takashi, et al.. (2005). Improvement of Compact Forceps Manipulator using Friction Wheel Mechanism. 7(2). 138–141. 1 indexed citations
17.
Kobayashi, Etsuko, Takao Koyama, Yuichi Tamura, et al.. (2004). Forces Exerted During Robotic Needle Insertion Into Human Vertebra. 5(4). 435–440. 1 indexed citations
18.
Liao, Hongen, Susumu Nakajima, Makoto Iwahara, et al.. (2001). Development of Real-Time 3D Navigation System for Intra-operative Information by Integral Videography. 2(4). 245–252. 9 indexed citations
19.
Kobayashi, Etsuko, Ken Masamune, Ichiro Sakuma, et al.. (2001). Safe and Simple Man-machine Interface for a Laparoscope Manipulator System. 3(2). 71–78. 3 indexed citations
20.
Kobayashi, Etsuko, et al.. (1999). A new safe laparoscopic manipulator system with a five-bar linkage mechanism and an optical zoom. Computer Aided Surgery. 4(4). 182–192. 66 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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