Nak‐Jung Kwon
- Molecular Biology top 10%
- Plant Science top 5%
- Pharmacology top 1%
- Cell Biology top 5%
- Infectious Diseases top 5%
- Co-authors
- Jae‐Hyuk YuMin NiGerhard H. BrausJin Woo BokKerstin HelmstaedtOliver ValeriusÖzgür BayramSven Krappmann
- Topics
- Fungal and yeast genetics research (13 papers)Cancer Genomics and Diagnostics (12 papers)Lung Cancer Treatments and Mutations (8 papers)
- Journals
- SciencePLoS ONEScientific Reports
- Partner nations
- South KoreaUnited StatesHungary
In The Last Decade
Nak‐Jung Kwon
38 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.1k
- Plant Science 787
- Pharmacology 593
- Cell Biology 284
- Infectious Diseases 251
Countries citing papers authored by Nak‐Jung Kwon
This map shows the geographic impact of Nak‐Jung Kwon'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 Nak‐Jung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nak‐Jung Kwon more than expected).
Fields of papers citing papers by Nak‐Jung Kwon
This network shows the impact of papers produced by Nak‐Jung Kwon. 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 Nak‐Jung Kwon. The network helps show where Nak‐Jung Kwon may publish in the future.
Co-authorship network of co-authors of Nak‐Jung Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Nak‐Jung Kwon. A scholar is included among the top collaborators of Nak‐Jung Kwon 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 Nak‐Jung Kwon. Nak‐Jung Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 158 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 12 | |
| 11 | 68 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 130 | |
| 16 | 38 | |
| 17 | 21 | |
| 18 | VelB/VeA/LaeA Complex Coordinates Light Signal with Fungal Development and Secondary Metabolismbreakdown → | 698 |
| 19 | Modulation of Sexual Development in Association of Newly Isolated IndB/D with a GATA Transcription Factor, NsdD in Aspergillus nidulans | 1 |
| 20 | Identification and Cloning of jipA Encoding a Polypeptide That Interacts with a Homolog of Yeast Rad6, UVSJ in Aspergillus nidulans | 13 |
About Nak‐Jung Kwon
Nak‐Jung Kwon is a scholar working on Cancer Research, Pharmacology and Biotechnology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (13 papers), Cancer Genomics and Diagnostics (12 papers) and Lung Cancer Treatments and Mutations (8 papers). The work is most often cited by research in Pharmacology (593 citations), Plant Science (787 citations) and Cell Biology (284 citations). Nak‐Jung Kwon has collaborated with scholars based in South Korea, United States and Hungary. Frequent co-authors include Jae‐Hyuk Yu, Min Ni, Gerhard H. Braus, Jin Woo Bok, Kerstin Helmstaedt, Oliver Valerius, Özgür Bayram, Sven Krappmann, Susanna A. Braus‐Stromeyer and Nancy P. Keller. Their work appears in journals such as Science, PLoS ONE and Scientific Reports.
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.