Gloria Kwon
Impact in
- Developmental Neuroscience top 10%
-
- Pluripotent Stem Cells Research
- Congenital heart defects research
- Renal and related cancers
- CRISPR and Genetic Engineering
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
Papers in
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- Pluripotent Stem Cells Research 5
- Congenital heart defects research 3
- Renal and related cancers 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Cancer-related gene regulation 1
- Genetics 2
- Animal Genetics and Reproduction 2
- Co-authors
- Anna‐Katerina Hadjantonakis (6 shared papers)Manuel Viotti (1 shared paper)Anna Piliszek (2 shared papers)Stuart T. Fraser (1 shared paper)Guy S. Eakin (1 shared paper)Joan Isern (1 shared paper)Margaret H. Baron (1 shared paper)Kenneth E. Sahr (1 shared paper)
- Journals
- genesis (2 papers)Developmental Cell (1 paper)Genes & Development (1 paper)Developmental Dynamics (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Gloria Kwon
6 papers receiving 586 citations
Peers
Comparison fields: 5 of 53
- Developmental Neuroscience 35
- Molecular Biology 512
- Biophysics 31
- Cell Biology 66
- Genetics 105
Countries citing papers authored by Gloria Kwon
This map shows the geographic impact of Gloria 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 Gloria Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria Kwon more than expected).
Fields of papers citing papers by Gloria Kwon
This network shows the impact of papers produced by Gloria 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 Gloria Kwon. The network helps show where Gloria Kwon may publish in the future.
Co-authors
The 13 scholars most cited alongside Gloria Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 316 | |
| 2 | 2006 | 67 | |
| 3 | 2007 | 62 | |
| 4 | 2009 | 61 | |
| 5 | 2013 | 56 | |
| 6 | 2011 | 29 |
About Gloria Kwon
Gloria Kwon is a scholar working on Molecular Biology, Genetics, Surgery, Cell Biology and Infectious Diseases, having authored 6 papers that have together received 591 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Congenital heart defects research (3 papers), Renal and related cancers (3 papers), Animal Genetics and Reproduction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Cancer-related gene regulation (1 paper), Pancreatic function and diabetes (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (35 citations), Molecular Biology (512 citations), Biophysics (31 citations), Cell Biology (66 citations) and Genetics (105 citations). Gloria Kwon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anna‐Katerina Hadjantonakis, Manuel Viotti, Anna Piliszek, Stuart T. Fraser, Guy S. Eakin, Joan Isern, Margaret H. Baron, Kenneth E. Sahr, Sonja Nowotschin and Chai‐An Mao. Their work appears in journals such as genesis, Developmental Cell, Genes & Development, Developmental Dynamics and Methods in molecular biology.
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.