Ki‐Chul Hwang

3.0k citations
83 papers · 2.4k indexed · h-index 26

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Ki‐Chul Hwang

82 papers receiving 2.4k citations

Peers

Ki‐Chul Hwang
Comparison fields: 5 of 132
  • Genetics 447
  • Biomaterials 317
  • Cancer Research 311
  • Molecular Biology 1.1k
  • Pharmacology 246
Replace Soyeon Lim with:
Soyeon Lim South Korea
Eui Kyun Park South Korea
Tullia Maraldi Italy
Xin Xu China
Peraphan Pothacharoen Thailand
Xiaoqian Dang China
Wenyan Zhou China
Francesca Polito Italy
Pengcheng Qiu China
Thangavelu Soundara Rajan Italy
Ki‐Chul Hwang relative to Soyeon Lim South Korea Soyeon Lim's profile →
Citations per field
00.5×1.5×
Soyeon Lim · 1×
Citations per year

Countries citing papers authored by Ki‐Chul Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Chul Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Chul Hwang. 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 Ki‐Chul Hwang. The network helps show where Ki‐Chul Hwang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ki‐Chul Hwang, 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 Ki‐Chul Hwang Line = papers co-authored together Ki‐Chul Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202223
3 202151
4 20209
5 20203
6 202021
7 201929
8 201749
9 20178
10 201613
11 201614
12 201624
13 201534
14 201564
15 201531
16 20135
17 201240
18 200978
19 200748
20 199597

About Ki‐Chul Hwang

Ki‐Chul Hwang is a scholar working on Genetics, Rehabilitation, Cancer Research, Biomaterials and Molecular Biology, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (21 papers), MicroRNA in disease regulation (11 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Tissue Engineering and Regenerative Medicine (7 papers), RNA Interference and Gene Delivery (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Circular RNAs in diseases (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (447 citations), Biomaterials (317 citations), Cancer Research (311 citations), Molecular Biology (1.1k citations) and Pharmacology (246 citations). Ki‐Chul Hwang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Min‐Ji Cha, Eunhyun Choi, Seahyoung Lee, Soyeon Lim, Woochul Chang, Chang Youn Lee, Byeong‐Wook Song, Hyang‐Hee Seo, Jiyun Lee and Onju Ham. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular and Cellular Biochemistry, Molecules and Cells, Cellular Physiology and Biochemistry and Molecular Immunology.

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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