Dae Yeon Hwang

49 total papers · 667 total citations
31 papers, 546 citations indexed

About

Dae Yeon Hwang is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dae Yeon Hwang has authored 31 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dae Yeon Hwang's work include Neuropeptides and Animal Physiology (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Alzheimer's disease research and treatments (3 papers). Dae Yeon Hwang is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Alzheimer's disease research and treatments (3 papers). Dae Yeon Hwang collaborates with scholars based in South Korea, United States and Ethiopia. Dae Yeon Hwang's co-authors include Hyun Sook Hong, Sang‐Bae Han, Jin Tae Hong, Youngsook Son, Sang Kyu Kwak, Mi Hee Park, Seong Hoe Park, Ki‐Wan Oh, Doo Hyun Chung and Do Young Yoon and has published in prestigious journals such as Nano Letters, Chemistry of Materials and Free Radical Biology and Medicine.

In The Last Decade

Dae Yeon Hwang

31 papers receiving 533 citations

Author Peers

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

Author Last Decade Papers Cites
Dae Yeon Hwang 157 102 88 80 70 31 546
Jie Qu 182 1.2× 93 0.9× 37 0.4× 29 0.4× 28 0.4× 18 529
Yujia Wei 135 0.9× 55 0.5× 60 0.7× 37 0.5× 35 0.5× 35 601
M. Nomura 171 1.1× 63 0.6× 86 1.0× 63 0.8× 51 0.7× 28 497
I. Kato 151 1.0× 48 0.5× 62 0.7× 31 0.4× 34 0.5× 35 543
Xiaofei Wang 198 1.3× 35 0.3× 116 1.3× 67 0.8× 67 1.0× 27 591
Xiaoxin Sun 239 1.5× 59 0.6× 47 0.5× 20 0.3× 68 1.0× 28 593
Ki Baek Lee 218 1.4× 112 1.1× 58 0.7× 37 0.5× 43 0.6× 27 560
Xinran Chen 172 1.1× 49 0.5× 68 0.8× 29 0.4× 71 1.0× 52 582
Guoliang Jin 264 1.7× 37 0.4× 60 0.7× 39 0.5× 130 1.9× 28 574
Jin Su Park 209 1.3× 93 0.9× 85 1.0× 20 0.3× 34 0.5× 26 502

Countries citing papers authored by Dae Yeon Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Dae Yeon Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Yeon Hwang

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026