Chanki Ha

849 citations
10 papers · 749 · h-index 8

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials

Papers in

    • Alzheimer's disease research and treatments 7
    • Supramolecular Self-Assembly in Materials 5

Chanki Ha

9 papers receiving 743 citations

Peers

Chanki Ha
Comparison fields: 5 of 89
  • Physiology 400
  • Biomaterials 109
  • Nutrition and Dietetics 100
  • Computational Theory and Mathematics 87
  • Clinical Biochemistry 35
Replace Samer Salamekh with:
Samer Salamekh United States
Bankanidhi Sahoo India
Masafumi Sakono Japan
Claire J. Sarell United Kingdom
Ann Tiiman Sweden
Sandip B. Vyas United States
Stefania Girotto Italy
Mariagioia Zampagni Italy
Dahabada H. J. Lopes United States
Elisa Evangelisti Italy
Chanki Ha relative to Samer Salamekh United States Samer Salamekh's profile →
Citations per field
00.5×1.5×
Samer Salamekh · 1×
Citations per year

Countries citing papers authored by Chanki Ha

Since Specialization
Citations

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

Fields of papers citing papers by Chanki Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Chanki Ha, 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 Chanki Ha Line = papers co-authored together Chanki Ha links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007202
2 2004195
3 2004123
4 200491
5 200857
6 200531
7 200626
8 200422
9 20041
10 20041

About Chanki Ha

Chanki Ha is a scholar working on Physiology, Biomaterials, Molecular Biology, Materials Chemistry and Computational Theory and Mathematics, having authored 10 papers that have together received 749 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Supramolecular Self-Assembly in Materials (5 papers), Enzyme Structure and Function (2 papers), Prion Diseases and Protein Misfolding (2 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Analytical Chemistry and Sensors (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Physiology (400 citations), Biomaterials (109 citations), Nutrition and Dietetics (100 citations), Computational Theory and Mathematics (87 citations) and Clinical Biochemistry (35 citations). Chanki Ha has collaborated with scholars based in United States and South Korea. Frequent co-authors include Chan Beum Park, Jungki Ryu, Jun‐Seok Lee, Young‐Tae Chang, Guang Yang, Qian Li, Koyeli Girigoswami, Sook Hee Ku, Qian Li and Young Hoon Joo. Their work appears in journals such as Biochemistry, Biotechnology and Bioengineering, FEBS Letters, Protein Science and Langmuir.

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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