Jin Seob Kim

999 total citations · 1 hit paper
35 papers, 806 citations indexed

About

Jin Seob Kim is a scholar working on Biomedical Engineering, Cell Biology and Molecular Biology. According to data from OpenAlex, Jin Seob Kim has authored 35 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 8 papers in Cell Biology and 7 papers in Molecular Biology. Recurrent topics in Jin Seob Kim's work include Soft Robotics and Applications (14 papers), Optical Coherence Tomography Applications (10 papers) and Enzyme Structure and Function (5 papers). Jin Seob Kim is often cited by papers focused on Soft Robotics and Applications (14 papers), Optical Coherence Tomography Applications (10 papers) and Enzyme Structure and Function (5 papers). Jin Seob Kim collaborates with scholars based in United States, South Korea and Thailand. Jin Seob Kim's co-authors include Gregory S. Chirikjian, Robert J. Webster, Allison M. Okamura, Noah J. Cowan, Iulian Iordachita, Dong‐Hoon Choi, Peter C. Searson, Garry R. Cutting, Sean X. Sun and Osman N. Yoğurtçu and has published in prestigious journals such as Analytical Chemistry, Biophysical Journal and Polymer.

In The Last Decade

Jin Seob Kim

31 papers receiving 784 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nonholonomic Modeling of Needle Steering

2006 511 citations Jin Seob Kim, Gregory S. Chirikjian et al. profile →

Peers

Jin Seob Kim

BE

CSE

SURGE

ME

CVPR

Sungwook Yang South Korea

Anzhu Gao China

Roy J. Roesthuis Netherlands

James H. Chandler United Kingdom

Agostino Stilli United Kingdom

Pinyo Puangmali United Kingdom

Niki Abolhassani Canada

Xiaoyi Gu Singapore

Momen Abayazid Netherlands

Donghoon Son South Korea

Sungwook Yang South Korea

Jin Seob Kim

555 ×0.9

BE

90 ×0.4

CSE

196 ×1.2

SURGE

148 ×0.9

ME

64 ×0.5

CVPR

Citations per year, relative to Jin Seob Kim Jin Seob Kim (= 1×) peers Sungwook Yang

Countries citing papers authored by Jin Seob Kim

Since Specialization

Citations

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

Fields of papers citing papers by Jin Seob Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Seob Kim. 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 Jin Seob Kim. The network helps show where Jin Seob Kim may publish in the future.

Co-authorship network of co-authors of Jin Seob Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Seob Kim. A scholar is included among the top collaborators of Jin Seob Kim 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 Jin Seob Kim. Jin Seob Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Moreira, Pedro, et al.. (2024). Hybrid Deep Learning and Model-Based Needle Shape Prediction. IEEE Sensors Journal. 24(11). 18359–18371. 1 indexed citations

2.

Moreira, Pedro, Lori Foley, Kemal Tuncali, et al.. (2024). In Vivo Feasibility Study: Evaluating Autonomous Data-Driven Robotic Needle Trajectory Correction in MRI-Guided Transperineal Procedures. IEEE Robotics and Automation Letters. 9(10). 8975–8982. 5 indexed citations

3.

Iordachita, Iulian, et al.. (2024). FBG-based Shape-Sensing to Enable Lateral Deflection Methods of Autonomous Needle Insertion. PubMed. 2024. 6977–6982. 2 indexed citations

4.

Kim, Jin Seob, et al.. (2023). Optical Fiber-Based Needle Shape-Sensing in Real Tissue: Single-Core versus Multicore Approaches. PubMed. 9(01n02). 2 indexed citations

5.

Kim, Jin Seob, et al.. (2023). Optical Fiber -Based Needle Shape Sensing: Three-channel Single Core vs. Multicore Approaches^*. PubMed. 2023. 5 indexed citations

6.

Kim, Jin Seob, Young Sil Lee, Kwan Han Yoon, & Jong Hun Han. (2021). Mechanical Properties and Thermal Conductivity of Polycarbonate Composite Containing Aluminum-exfoliated Graphite Nanoplatelet Hybrid Powder. Polymer Korea. 45(2). 275–280. 3 indexed citations

7.

Kim, Jin Seob, et al.. (2021). Towards Automatic Robotic Calibration System for Flexible Needles with FBG Sensors. PubMed. 2021. 1–7. 4 indexed citations

8.

Iordachita, Iulian, et al.. (2020). Trajectory Generation of FBG-Sensorized Needles for Insertions into Multi-Layer Tissue. PubMed. 2020. 11 indexed citations

9.

Xu, Mengdi, et al.. (2019). Mosquito Staging Apparatus for Producing PfSPZ Malaria Vaccines. 2 1. 443–449. 4 indexed citations

10.

Kim, Jin Seob, et al.. (2018). A Novel 3-D Full Body Model of Snake Locomotion in Complex 3-D Terrain. Bulletin of the American Physical Society. 2018. 1 indexed citations

11.

Kim, Jin Seob, et al.. (2018). Preoperative Needle Insertion Path Planning for Minimizing Deflection in Multilayered Tissues. IEEE Robotics and Automation Letters. 3(3). 2129–2136. 20 indexed citations

12.

Kim, Jin Seob, et al.. (2017). Shape determination during needle insertion With curvature measurements. 201–208. 19 indexed citations

13.

Kim, Jin Seob, et al.. (2017). A new 4-DOF parallel robot for MRI-guided percutaneous interventions: Kinematic analysis. PubMed. 2017. 4251–4255. 6 indexed citations

14.

Kim, Jin Seob, Bijan Afsari, & Gregory S. Chirikjian. (2016). Cross-Validation of Data Compatibility Between Small Angle X-ray Scattering and Cryo-Electron Microscopy. Journal of Computational Biology. 24(1). 13–30. 7 indexed citations

15.

Kim, Jin Seob & Gregory S. Chirikjian. (2015). Bayesian filtering for orientational distributions: A fourier approach. International Conference on Information Fusion. 748–753. 3 indexed citations

16.

Kim, Jin Seob, Chang‐Hun Lee, Baogen Y. Su, & Pierre A. Coulombe. (2012). Mathematical Modeling of the Impact of Actin and Keratin Filaments on Keratinocyte Cell Spreading. Biophysical Journal. 103(9). 1828–1838. 7 indexed citations

17.

Yoğurtçu, Osman N., Jin Seob Kim, & Sean X. Sun. (2012). A Mechanochemical Model of Actin Filaments. Biophysical Journal. 103(4). 719–727. 37 indexed citations

18.

Kim, Jin Seob, et al.. (2010). Modeling the Self-Organization Property of Keratin Intermediate Filaments. Biophysical Journal. 99(9). 2748–2756. 8 indexed citations

19.

Kim, Jin Seob & Sean X. Sun. (2008). Continuum modeling of forces in growing viscoelastic cytoskeletal networks. Journal of Theoretical Biology. 256(4). 596–606. 12 indexed citations

20.

Kim, Jin Seob, et al.. (2005). A unified approach to conformational statistics of classical polymer and polypeptide models. Polymer. 46(25). 11904–11917. 4 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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