David Chung
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- Neuropeptides and Animal Physiology 19
- Behavioral Neuroscience top 5%
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 7
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 20
- Chemical Synthesis and Analysis 17
- Glycosylation and Glycoproteins Research 5
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- Growth Hormone and Insulin-like Growth Factors 11
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- Influenza Virus Research Studies 5
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- Animal Disease Management and Epidemiology 4
- Co-authors
- Choh Hao LiC H LiAnthony LévyJ. RamachandranByron A. DoneenMichel ChrétienL BarnafiJonathan S. Dixon
- Journals
- Journal of the American Chemical Society (11 papers)Biochemical and Biophysical Research Communications (8 papers)Archives of Biochemistry and Biophysics (4 papers)
- Partner nations
- United StatesSouth AfricaSouth Korea
In The Last Decade
David Chung
80 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cellular and Molecular Neuroscience 1.1k
- Endocrine and Autonomic Systems 236
- Behavioral Neuroscience 99
- Reproductive Medicine 192
- Molecular Biology 1.5k
Countries citing papers authored by David Chung
This map shows the geographic impact of David Chung'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 David Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chung more than expected).
Fields of papers citing papers by David Chung
This network shows the impact of papers produced by David Chung. 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 David Chung. The network helps show where David Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Chung, 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 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 2 | |
| 5 | Detecting Conspiracy Theories from Tweets: Textual and Structural Approaches. | 2020 | 1 |
| 6 | 2020 | 3 | |
| 7 | 2020 | 7 | |
| 8 | 2011 | 53 | |
| 9 | 1995 | 90 | |
| 10 | 1990 | 5 | |
| 11 | 1990 | 1 | |
| 12 | 1989 | 9 | |
| 13 | 1989 | 1 | |
| 14 | 1988 | 6 | |
| 15 | 1988 | 3 | |
| 16 | 1983 | 3 | |
| 17 | 1975 | 18 | |
| 18 | 1971 | 1 | |
| 19 | 1967 | 14 | |
| 20 | 1961 | 17 |
About David Chung
David Chung is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Biochemistry and Molecular Biology, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (19 papers), Chemical Synthesis and Analysis (17 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Hypothalamic control of reproductive hormones (7 papers), Glycosylation and Glycoproteins Research (5 papers), Influenza Virus Research Studies (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (236 citations), Behavioral Neuroscience (99 citations), Reproductive Medicine (192 citations) and Molecular Biology (1.5k citations). David Chung has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Choh Hao Li, C H Li, Anthony Lévy, J. Ramachandran, Choh Hao Li, Byron A. Doneen, Michel Chrétien, L Barnafi, Jonathan S. Dixon and Donald Yamashiro. Their work appears in journals such as Journal of the American Chemical Society, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Proceedings of the National Academy of Sciences and Nature.
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.