Wonja Choi
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
Papers in
-
- Fungal and yeast genetics research 22
- Microbial Metabolic Engineering and Bioproduction 11
- Genomics and Chromatin Dynamics 5
-
- Antifungal resistance and susceptibility 10
- Co-authors
- Wankee Kim (19 shared papers)Young Mi Lee (9 shared papers)Jungwoo Yang (4 shared papers)Yeji Lee (3 shared papers)Eunjung Kim (3 shared papers)Hyunjin Shin (4 shared papers)Min Kyoung Kim (3 shared papers)Narae Kim (2 shared papers)
- Journals
- Applied Microbiology and Biotechnology (6 papers)Yeast (5 papers)Environmental Microbiology (3 papers)Biotechnology and Bioengineering (2 papers)Biochemical Journal (2 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Wonja Choi
39 papers receiving 1000 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 185
- Molecular Biology 726
- Infectious Diseases 163
- Aging 16
- Food Science 131
Countries citing papers authored by Wonja Choi
This map shows the geographic impact of Wonja Choi'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 Wonja Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonja Choi more than expected).
Fields of papers citing papers by Wonja Choi
This network shows the impact of papers produced by Wonja Choi. 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 Wonja Choi. The network helps show where Wonja Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonja Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 67 | |
| 2 | 2012 | 58 | |
| 3 | 2011 | 53 | |
| 4 | 2016 | 53 | |
| 5 | 1998 | 52 | |
| 6 | 2001 | 52 | |
| 7 | 2002 | 50 | |
| 8 | 2011 | 47 | |
| 9 | 2016 | 45 | |
| 10 | 2001 | 43 | |
| 11 | 1994 | 42 | |
| 12 | 2010 | 39 | |
| 13 | 2015 | 35 | |
| 14 | 2003 | 34 | |
| 15 | 2016 | 31 | |
| 16 | 2010 | 30 | |
| 17 | 1990 | 28 | |
| 18 | 2005 | 26 | |
| 19 | 2016 | 24 | |
| 20 | 2013 | 23 |
About Wonja Choi
Wonja Choi is a scholar working on Molecular Biology, Infectious Diseases, Food Science, Biomedical Engineering and Cell Biology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (22 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Antifungal resistance and susceptibility (10 papers), Biofuel production and bioconversion (9 papers), Fermentation and Sensory Analysis (6 papers), Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (5 papers) and Probiotics and Fermented Foods (4 papers). The work is most often cited by research in Cell Biology (185 citations), Molecular Biology (726 citations), Infectious Diseases (163 citations), Aging (16 citations) and Food Science (131 citations). Wonja Choi has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Wankee Kim, Young Mi Lee, Jungwoo Yang, Yeji Lee, Eunjung Kim, Hyunjin Shin, Min Kyoung Kim, Narae Kim, Narae Kim and Min Sun Kim. Their work appears in journals such as Applied Microbiology and Biotechnology, Yeast, Environmental Microbiology, Biotechnology and Bioengineering and Biochemical Journal.
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.