Daehee Hwang

19.0k total citations · 6 hit papers
232 papers, 13.7k citations indexed

About

Daehee Hwang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Daehee Hwang has authored 232 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 34 papers in Cancer Research and 31 papers in Immunology. Recurrent topics in Daehee Hwang's work include Plant Molecular Biology Research (18 papers), RNA Research and Splicing (16 papers) and Advanced Proteomics Techniques and Applications (15 papers). Daehee Hwang is often cited by papers focused on Plant Molecular Biology Research (18 papers), RNA Research and Splicing (16 papers) and Advanced Proteomics Techniques and Applications (15 papers). Daehee Hwang collaborates with scholars based in South Korea, United States and Puerto Rico. Daehee Hwang's co-authors include Sungyong You, Do Young Hyeon, Sangchul Rho, Seung‐Jae Lee, He-Jin Lee, Eliezer Masliah, Jeongwoo Lee, Hong Gil Nam, George Stephanopoulos and Yong Song Gho and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Daehee Hwang

227 papers receiving 13.5k citations

Hit Papers

Generation of T Follicular Helper Cells Is Mediated by In... 2008 2026 2014 2020 2008 2010 2013 2009 2013 250 500 750

Peers

Daehee Hwang
Comparison fields: 5 of 178
  • Molecular Biology 7.8k
  • Immunology 2.1k
  • Cancer Research 2.0k
  • Plant Science 1.8k
  • Physiology 1.3k
Replace David Lyon with:
David Lyon United States
Annika L. Gable Switzerland
Akira Hara Japan
Lei Liu China
Kevin G. Becker United States
Alberto Santos Denmark
Lili Wang China
Alexander Junge Denmark
Jin Yao China
Kyu‐Won Kim South Korea
David Lyon United States View profile →
Citations per field, relative to Daehee Hwang
Daehee Hwang · 1×
Citations per year, relative to Daehee Hwang
Daehee Hwang · 1×

Countries citing papers authored by Daehee Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Daehee Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daehee Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Daehee Hwang. A scholar is included among the top collaborators of Daehee 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 Daehee Hwang. Daehee 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 3
2 10
3 11
4 18
5 1
6 30
7 32
8 56
9 29
10 31
11 70
12 13
13 18
14 1
15 5
16 56
17 37
18 254
19 92
20
Process Operation Improvement Methodology based on Statistical Data Analysis
0

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