Kyung‐Jin Jang

4.4k citations
31 papers · 2.6k indexed · 2 hit papers · h-index 18
Topics
3D Printing in Biomedical Research (10 papers)Cellular Mechanics and Interactions (4 papers)Ion Transport and Channel Regulation (3 papers)

In The Last Decade

Kyung‐Jin Jang

31 papers receiving 2.5k citations

Hit Papers

Human kidney proximal tubule-on-a-chip for drug transport...201320262017202120132015200400600

Peers

Kyung‐Jin Jang
Comparison fields: 5 of 124
  • Biomedical Engineering 1.8k
  • Molecular Biology 815
  • Cellular and Molecular Neuroscience 312
  • Surgery 301
  • Oncology 275
Replace Paul Vulto with:
Paul Vulto Netherlands
Henriëtte L. Lanz Netherlands
Sebastiaan J. Trietsch Netherlands
Martin Montoya‐Zavala United States
Uwe Marx Germany
A. Schwab Germany
Jeong Ah Kim South Korea
Teru Okitsu Japan
Karolina Chwalek Germany
YongTae Kim United States
Kyung‐Jin Jang relative to Paul Vulto Netherlands Paul Vulto's profile →
Citations per field
00.5×1.5×
Paul Vulto · 1×
Citations per year

Countries citing papers authored by Kyung‐Jin Jang

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Jin Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Jin Jang. 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 Kyung‐Jin Jang. The network helps show where Kyung‐Jin Jang may publish in the future.

Co-authorship network of co-authors of Kyung‐Jin Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Jin Jang. A scholar is included among the top collaborators of Kyung‐Jin Jang 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 Kyung‐Jin Jang. Kyung‐Jin Jang 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
1 167
2 73
3 85
4 34
5
Human kidney proximal tubule-on-a-chip for drug transport and nephrotoxicity assessmentbreakdown →
623
6 18
7 84
8 135
9 27
10 387
11
Functional dyeing nd Finishing Using Catechins Extracted from Green Tea (II)
1
12 9
13 15
14 102
15 85
16 56
17 14
18 54
19
A Study on the Pattern for the Clean Room Garment of the Overall Type
5
20 8

About Kyung‐Jin Jang

Kyung‐Jin Jang is a scholar working on Surfaces, Coatings and Films, Biological Psychiatry and Transplantation, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Cellular Mechanics and Interactions (4 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Biomedical Engineering (1.8k citations), Cellular and Molecular Neuroscience (312 citations) and Nephrology (104 citations). Kyung‐Jin Jang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Kahp‐Yang Suh, Donald E. Ingber, Geraldine A. Hamilton, L.A. McPartlin, Ali Poyan Mehr, Jwa‐Min Nam, Tae‐Hwan Kwon, Jay T. Groves, Luke A. MacQueen and Kevin Kit Parker. Their work appears in journals such as Nucleic Acids Research, ACS Nano and PLoS ONE.

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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