Dong‐Jin Hwang
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Organic Chemistry top 5%
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 10%
- Co-authors
- Duane D. MillerJames T. DaltonMichael L. MohlerYali HeRamesh NarayananWěi LiAmanda JonesCasey E. Bohl
- Topics
- Hormonal and reproductive studies (15 papers)Estrogen and related hormone effects (12 papers)Prostate Cancer Treatment and Research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Dong‐Jin Hwang
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 756
- Endocrinology, Diabetes and Metabolism 491
- Organic Chemistry 392
- Pulmonary and Respiratory Medicine 385
- Genetics 277
Countries citing papers authored by Dong‐Jin Hwang
This map shows the geographic impact of Dong‐Jin 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 Dong‐Jin Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Jin Hwang more than expected).
Fields of papers citing papers by Dong‐Jin Hwang
This network shows the impact of papers produced by Dong‐Jin 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 Dong‐Jin Hwang. The network helps show where Dong‐Jin Hwang may publish in the future.
Co-authorship network of co-authors of Dong‐Jin Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Jin Hwang. A scholar is included among the top collaborators of Dong‐Jin 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 Dong‐Jin Hwang. Dong‐Jin Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 60 | |
| 6 | 26 | |
| 7 | 50 | |
| 8 | 70 | |
| 9 | 100 | |
| 10 | 12 | |
| 11 | 21 | |
| 12 | 20 | |
| 13 | 26 | |
| 14 | 77 | |
| 15 | 14 | |
| 16 | 28 | |
| 17 | 67 | |
| 18 | 20 | |
| 19 | 37 | |
| 20 | 50 |
About Dong‐Jin Hwang
Dong‐Jin Hwang is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Virology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (15 papers), Estrogen and related hormone effects (12 papers) and Prostate Cancer Treatment and Research (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (491 citations), Organic Chemistry (392 citations) and Pulmonary and Respiratory Medicine (385 citations). Dong‐Jin Hwang has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Duane D. Miller, James T. Dalton, Michael L. Mohler, Yali He, Ramesh Narayanan, Wěi Li, Amanda Jones, Casey E. Bohl, Suriyan Ponnusamy and Jiyun Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.