Junghwa Cha

1.1k citations
31 papers · 783 · h-index 17

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions

Papers in

Junghwa Cha

31 papers receiving 761 citations

Peers

Junghwa Cha
Comparison fields: 5 of 86
  • Genetics 125
  • Cell Biology 130
  • Biomaterials 98
  • Biomedical Engineering 264
  • Oncology 145
Replace Kayla J. Wolf with:
Kayla J. Wolf United States
Tugba Bagcı-Önder Türkiye
Hyang‐Hwa Ryu South Korea
Ali C. Ravanpay United States
Dawn P. Spelke United States
Ilkyoo Koh South Korea
Eleanor Knight United Kingdom
Jesse Liang United States
Anna Degrassi Italy
Emeline J. Ribot France
Junghwa Cha relative to Kayla J. Wolf United States Kayla J. Wolf's profile →
Citations per field
00.5×5.7×
Kayla J. Wolf · 1×
Citations per year

Countries citing papers authored by Junghwa Cha

Since Specialization
Citations

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

Fields of papers citing papers by Junghwa Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junghwa Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junghwa Cha Line = papers co-authored together Junghwa Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018133
2 201979
3 201667
4 201856
5 201348
6 202045
7 199737
8 201836
9 202235
10 201728
11 201725
12 201823
13 200622
14 201621
15 202118
16 202017
17 201416
18 202414
19 20239
20 20168

About Junghwa Cha

Junghwa Cha is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Oncology and Materials Chemistry, having authored 31 papers that have together received 783 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), 3D Printing in Biomedical Research (7 papers), Cancer Cells and Metastasis (6 papers), Cell Image Analysis Techniques (3 papers), Advanced Materials and Mechanics (3 papers), Nanoplatforms for cancer theranostics (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Genetics (125 citations), Cell Biology (130 citations), Biomaterials (98 citations), Biomedical Engineering (264 citations) and Oncology (145 citations). Junghwa Cha has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Pilnam Kim, Seok‐Gu Kang, Pilnam Kim, Ilkyoo Koh, Junjeong Choi, Junseong Park, Minjeong Jang, Chulhee Choi, Junhyung Park and Ki Hoon Song. Their work appears in journals such as ACS Applied Materials & Interfaces, Scientific Reports, Journal of Alloys and Compounds, Journal of Industrial and Engineering Chemistry and Biomaterials.

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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