Sangwon Kim

1.7k citations
27 papers · 1.4k indexed · 2 hit papers · h-index 13
Topics
Micro and Nano Robotics (16 papers)Hearing Loss and Rehabilitation (6 papers)Modular Robots and Swarm Intelligence (5 papers)

In The Last Decade

Sangwon Kim

26 papers receiving 1.4k citations

Hit Papers

Fabrication and Characterization of Magnetic Microrobots ...201320262017202120132019100200300

Peers

Sangwon Kim
Comparison fields: 5 of 84
  • Biomedical Engineering 1.0k
  • Condensed Matter Physics 913
  • Mechanical Engineering 618
  • Electrical and Electronic Engineering 116
  • Materials Chemistry 109
Replace Andrew J. Petruska with:
Andrew J. Petruska United States
Seungmin Lee South Korea
Francesco Rizzi Italy
Ravi L. Hadimani United States
Georgios Varnavides United States
Veikko Sariola Finland
Chu Ma United States
Han Eol Lee South Korea
Ahmed Alfadhel Saudi Arabia
Guangbin Shao China
Sangwon Kim relative to Andrew J. Petruska United States Andrew J. Petruska's profile →
Citations per field
00.5×1.5×
Andrew J. Petruska · 1×
Citations per year

Countries citing papers authored by Sangwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangwon Kim. A scholar is included among the top collaborators of Sangwon 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 Sangwon Kim. Sangwon Kim 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
#WorkIndexed citations
1
Magnetically actuated microrobots as a platform for stem cell transplantationbreakdown →
321
2 28
3 1
4 105
5 36
6 98
7 72
8 31
9 8
10 136
11 4
12 1
13 1
14 9
15 2
16 34
17 39
18
Fabrication and Characterization of Magnetic Microrobots for Three‐Dimensional Cell Culture and Targeted Transportationbreakdown →
338
19 9
20 1

About Sangwon Kim

Sangwon Kim is a scholar working on Condensed Matter Physics, Sensory Systems and Otorhinolaryngology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Micro and Nano Robotics (16 papers), Hearing Loss and Rehabilitation (6 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Condensed Matter Physics (913 citations), Biomedical Engineering (1.0k citations) and Mechanical Engineering (618 citations). Sangwon Kim has collaborated with scholars based in South Korea, Switzerland and Hong Kong. Frequent co-authors include Hongsoo Choi, Bradley J. Nelson, Cheil Moon, Li Zhang, Seungmin Lee, Jinyoung Kim, Famin Qiu, Samhwan Kim, Ali Ghanbari and Sungwoong Jeon. Their work appears in journals such as Advanced Materials, Scientific Reports and Small.

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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