Deborah T. Hung
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
- Vibrio bacteria research studies
Papers in
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- Antibiotic Resistance in Bacteria 34
-
- Vibrio bacteria research studies 10
- Co-authors
- Emily PiersonAnne E. ClatworthyRoby P. BhattacharyyaSarah Schmidt GrantDon C. WileyDavid N. GarbocziJohn J. MekalanosPardis C. Sabeti
- Journals
- Proceedings of the National Academy of Sciences (9 papers)ACS Infectious Diseases (7 papers)ACS Chemical Biology (6 papers)Open Forum Infectious Diseases (5 papers)Nature Chemical Biology (5 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Deborah T. Hung
112 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Medicine 1.3k
- Endocrinology 924
- Infectious Diseases 2.2k
- Business and International Management 224
- Molecular Biology 6.4k
Countries citing papers authored by Deborah T. Hung
This map shows the geographic impact of Deborah T. 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 Deborah T. Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah T. Hung more than expected).
Fields of papers citing papers by Deborah T. Hung
This network shows the impact of papers produced by Deborah T. 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 Deborah T. Hung. The network helps show where Deborah T. Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Deborah T. 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 | 2024 | 2 | |
| 2 | 2023 | 18 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 26 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 29 | |
| 9 | Massively multiplexed nucleic acid detection with Cas13 Hit paper breakdown → | 2020 | 592 |
| 10 | 2019 | 134 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 77 | |
| 14 | Nucleic acid detection with CRISPR-Cas13a/C2c2 | 2017 | 0 |
| 15 | 2012 | 214 | |
| 16 | 2012 | 205 | |
| 17 | 2009 | 130 | |
| 18 | 2009 | 13 | |
| 19 | 2007 | 106 | |
| 20 | 2005 | 279 |
About Deborah T. Hung
Deborah T. Hung is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Microbiology and Molecular Biology, having authored 118 papers that have together received 10.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (34 papers), Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (17 papers), Bacterial Genetics and Biotechnology (14 papers), Bacterial biofilms and quorum sensing (12 papers), Bacteriophages and microbial interactions (11 papers), Vibrio bacteria research studies (10 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Endocrinology (924 citations), Infectious Diseases (2.2k citations), Business and International Management (224 citations) and Molecular Biology (6.4k citations). Deborah T. Hung has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Emily Pierson, Anne E. Clatworthy, Roby P. Bhattacharyya, Sarah Schmidt Grant, Don C. Wiley, David N. Garboczi, John J. Mekalanos, Pardis C. Sabeti, Cameron Myhrvold and Catherine A. Freije. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Infectious Diseases, ACS Chemical Biology, Open Forum Infectious Diseases and Nature Chemical 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.