Hyo‐Jeong Kim
- Molecular Biology top 5%
- Plant Science top 5%
- Physiology top 5%
- Epidemiology top 10%
- Pharmacology top 5%
- Co-authors
- Katherine A. BorkovichJason K. KimGerald I. ShulmanTakamasa HigashimoriHaitao LiuJonathan J. FillmoreHyejeong ChoiMary Anne Nelson
- Topics
- Fungal and yeast genetics research (8 papers)Genetically Modified Organisms Research (7 papers)Peroxisome Proliferator-Activated Receptors (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hyo‐Jeong Kim
67 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.5k
- Plant Science 475
- Physiology 455
- Epidemiology 255
- Pharmacology 246
Countries citing papers authored by Hyo‐Jeong Kim
This map shows the geographic impact of Hyo‐Jeong Kim'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 Hyo‐Jeong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyo‐Jeong Kim more than expected).
Fields of papers citing papers by Hyo‐Jeong Kim
This network shows the impact of papers produced by Hyo‐Jeong Kim. 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 Hyo‐Jeong Kim. The network helps show where Hyo‐Jeong Kim may publish in the future.
Co-authorship network of co-authors of Hyo‐Jeong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyo‐Jeong Kim. A scholar is included among the top collaborators of Hyo‐Jeong Kim 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 Hyo‐Jeong Kim. Hyo‐Jeong Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 71 | |
| 11 | 17 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | A Comparative Genome-Wide Analysis of GATA Transcription Factors in Fungi | 18 |
| 16 | 179 | |
| 17 | 183 | |
| 18 | 5 | |
| 19 | Cloning and Expression of a Paenibacillus sp. Neopullulanase Gene in Saccharomyces cerevisiae Producing Schwanniomyces occidentalis Glucoamylase | 4 |
| 20 | Organic acid production and phosphate solubilization by Enterobacter intermedium 60-2G | 12 |
About Hyo‐Jeong Kim
Hyo‐Jeong Kim is a scholar working on Horticulture, Plant Science and Molecular Biology, having authored 73 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Genetically Modified Organisms Research (7 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Biochemistry (130 citations) and Physiology (455 citations). Hyo‐Jeong Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Katherine A. Borkovich, Jason K. Kim, Gerald I. Shulman, Takamasa Higashimori, Haitao Liu, Jonathan J. Fillmore, Hyejeong Choi, Mary Anne Nelson, Gary W. Cline and David J. Hirsch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.