Dae Yeon Hwang

676 total citations
31 papers, 550 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 550 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), Alzheimer's disease research and treatments (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). Dae Yeon Hwang is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Alzheimer's disease research and treatments (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). Dae Yeon Hwang collaborates with scholars based in South Korea, United States and Puerto Rico. Dae Yeon Hwang's co-authors include Hyun Sook Hong, Jin Tae Hong, Sang‐Bae Han, Youngsook Son, Sang Kyu Kwak, Mi Hee Park, Hae Won Sohn, Im‐Soon Lee, Ja June Jang and Bokkyoo Jun and has published in prestigious journals such as Nano Letters, Chemistry of Materials and Journal of Materials Chemistry A.

In The Last Decade

Dae Yeon Hwang

31 papers receiving 536 citations

Peers

Dae Yeon Hwang
Comparison fields: 5 of 93
  • Molecular Biology 158
  • Physiology 102
  • Immunology 88
  • Electrical and Electronic Engineering 80
  • Oncology 71
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Citations per field, relative to Dae Yeon Hwang
Dae Yeon Hwang · 1×
Citations per year, relative to Dae Yeon Hwang
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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

20 of 20 papers shown
# Work Indexed citations
1 5
2 5
3 36
4 24
5 22
6 21
7 23
8 6
9 20
10 13
11 48
12 7
13 10
14 31
15
The Glu / Asp Polymorphism of ecNOS Gene and the Renal Progression in Korean Autosomal Dominant Polycystic Kidney Disease ( ADPKD ) Patients
3
16 6
17
Electrode-Assisted Wacker Process: Phosphomolybdate-Mediated Oxidation of 1-Butene to Methyl Ethyl Ketone
2
18 4
19 9
20 82

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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