Dae Hyun Ha

13 total papers · 1.4k total citations
10 papers, 872 citations indexed

About

Dae Hyun Ha is a scholar working on Molecular Biology, Genetics and Dermatology. According to data from OpenAlex, Dae Hyun Ha has authored 10 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Dermatology. Recurrent topics in Dae Hyun Ha's work include Extracellular vesicles in disease (5 papers), Mesenchymal stem cell research (3 papers) and Epigenetics and DNA Methylation (3 papers). Dae Hyun Ha is often cited by papers focused on Extracellular vesicles in disease (5 papers), Mesenchymal stem cell research (3 papers) and Epigenetics and DNA Methylation (3 papers). Dae Hyun Ha collaborates with scholars based in South Korea, United States and Russia. Dae Hyun Ha's co-authors include Jun Ho Lee, Yong Weon Yi, Byong Seung Cho, Hyun-keun Kim, Joon Lee, Hyuck Hoon Kwon, Gyeong‐Hun Park, Jae Yoon Jung, Hosung Choi and Chan‐Gi Pack and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Dae Hyun Ha

9 papers receiving 847 citations

Hit Papers

Mesenchymal Stem/Stromal ... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dae Hyun Ha 658 243 183 138 127 10 872
Byong Seung Cho 548 0.8× 229 0.9× 157 0.9× 107 0.8× 76 0.6× 8 742
Hyun-keun Kim 498 0.8× 161 0.7× 160 0.9× 121 0.9× 118 0.9× 10 723
Kaihong Ji 620 0.9× 251 1.0× 222 1.2× 170 1.2× 54 0.4× 19 890
Bin Zhang 645 1.0× 308 1.3× 261 1.4× 40 0.3× 43 0.3× 13 857
Kyoung-Hwan Roh 306 0.5× 123 0.5× 382 2.1× 76 0.6× 53 0.4× 12 711
Marcela Salgado 425 0.6× 169 0.7× 286 1.6× 317 2.3× 53 0.4× 7 744
Guillermo C. Rivera-Gonzalez 305 0.5× 70 0.3× 123 0.7× 283 2.1× 188 1.5× 13 921
Sophie Paquet‐Fifield 315 0.5× 86 0.4× 87 0.5× 116 0.8× 62 0.5× 18 794
Diana Whaley 217 0.3× 118 0.5× 97 0.5× 282 2.0× 61 0.5× 17 752
S Seppä 372 0.6× 116 0.5× 53 0.3× 145 1.1× 35 0.3× 7 1.0k

Countries citing papers authored by Dae Hyun Ha

Since Specialization
Citations

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

Fields of papers citing papers by Dae Hyun Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Hyun Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Hyun Ha. A scholar is included among the top collaborators of Dae Hyun Ha 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 Dae Hyun Ha. Dae Hyun Ha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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