Jeffrey Hung
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Drug Transport and Resistance Mechanisms
Papers in
-
- DNA and Nucleic Acid Chemistry 2
- Machine Learning in Bioinformatics 1
- Oncology 2
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Yasumasa Honjo (2 shared papers)Susan E. Bates (2 shared papers)Lyn M. Huff (2 shared papers)Robert W. Robey (2 shared papers)Kuniaki Morisaki (1 shared paper)Michael Dean (1 shared paper)Tatiana Goncharov (1 shared paper)Domagoj Vucic (1 shared paper)
- Journals
- Cell Reports (2 papers)Developmental Cell (1 paper)Cancer Biology & Therapy (1 paper)Journal of Visualized Experiments (1 paper)Cancer Genetics and Cytogenetics (1 paper)
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Jeffrey Hung
8 papers receiving 196 citations
Peers
Comparison fields: 5 of 48
- Aging 22
- Oncology 106
- Pediatrics, Perinatology and Child Health 44
- Infectious Diseases 30
- Endocrine and Autonomic Systems 10
Countries citing papers authored by Jeffrey Hung
This map shows the geographic impact of Jeffrey Hung'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 Jeffrey Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Hung more than expected).
Fields of papers citing papers by Jeffrey Hung
This network shows the impact of papers produced by Jeffrey Hung. 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 Jeffrey Hung. The network helps show where Jeffrey Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Hung, 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 | 2002 | 92 | |
| 2 | 2019 | 49 | |
| 3 | 2017 | 26 | |
| 4 | 2005 | 21 | |
| 5 | 2024 | 4 | |
| 6 | 2014 | 4 | |
| 7 | 2010 | 2 | |
| 8 | 2021 | 2 |
About Jeffrey Hung
Jeffrey Hung is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Hardware and Architecture, having authored 8 papers that have together received 200 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Machine Learning in Bioinformatics (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Cancer Genomics and Diagnostics (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Computational Drug Discovery Methods (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Aging (22 citations), Oncology (106 citations), Pediatrics, Perinatology and Child Health (44 citations), Infectious Diseases (30 citations) and Endocrine and Autonomic Systems (10 citations). Jeffrey Hung has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Yasumasa Honjo, Susan E. Bates, Lyn M. Huff, Robert W. Robey, Kuniaki Morisaki, Michael Dean, Tatiana Goncharov, Domagoj Vucic, Kim Newton and Youngsu Kwon. Their work appears in journals such as Cell Reports, Developmental Cell, Cancer Biology & Therapy, Journal of Visualized Experiments and Cancer Genetics and Cytogenetics.
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.