Do Won Hwang

3.5k total citations
72 papers, 2.7k citations indexed

About

Do Won Hwang is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Do Won Hwang has authored 72 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 17 papers in Cancer Research and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Do Won Hwang's work include RNA Interference and Gene Delivery (23 papers), MicroRNA in disease regulation (17 papers) and Advanced biosensing and bioanalysis techniques (16 papers). Do Won Hwang is often cited by papers focused on RNA Interference and Gene Delivery (23 papers), MicroRNA in disease regulation (17 papers) and Advanced biosensing and bioanalysis techniques (16 papers). Do Won Hwang collaborates with scholars based in South Korea, United States and Puerto Rico. Do Won Hwang's co-authors include Dong Soo Lee, Soonhag Kim, Dong Soo Lee, Jae Min Jeong, Minhyung Lee, Hae Young Ko, Minkyung Kim, Gyeungyun Kim, Jung Woo Byun and In Chan Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Do Won Hwang

71 papers receiving 2.6k citations

Peers

Do Won Hwang
Comparison fields: 5 of 106
  • Molecular Biology 2.0k
  • Cancer Research 857
  • Biomedical Engineering 568
  • Biomaterials 291
  • Materials Chemistry 236
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Laura Cerchia Italy
Vittorio de Franciscis Italy
Kshitiz Gupta United States
Dinorah Friedmann‐Morvinski Israel
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Carla Lucia Esposito Italy
Meg Duroux Denmark
Mariano S. Viapiano United States
Janine N. Post Netherlands
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Citations per field, relative to Do Won Hwang
Do Won Hwang · 1×
Citations per year, relative to Do Won Hwang
Do Won Hwang · 1×

Countries citing papers authored by Do Won Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Do Won Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do Won Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Do Won Hwang. A scholar is included among the top collaborators of Do Won 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 Do Won Hwang. Do Won 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 0
2 3
3 56
4 33
5 239
6 41
7 15
8 7
9 18
10 3
11 3
12 22
13 228
14 76
15 20
16 55
17 90
18 52
19 28
20
Development of a sodium/iodide symporter (NIS)-transgenic mouse for imaging of cardiomyocyte-specific reporter gene expression.
43

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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