Deborah T. Hung

19.3k citations
118 papers · 10.6k indexed · 6 hit papers · h-index 42

Impact in

Papers in

Deborah T. Hung

112 papers receiving 10.4k citations

Hit Papers

Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular states 2023 · 137 citations
137199220262003201450010001.5k2.0k2.5k

Peers

Deborah T. Hung
Comparison fields: 5 of 164
  • Molecular Medicine 1.3k
  • Endocrinology 924
  • Infectious Diseases 2.2k
  • Business and International Management 224
  • Molecular Biology 6.4k
Replace Kirill A. Datsenko with:
Kirill A. Datsenko United States
Yigang Tong China
Hongbin Song China
Konstantin Severinov United States
Andrew Camilli United States
Fernando de la Cruz Spain
Dirk Schnappinger United States
Sarah M. Fortune United States
Eric J. Rubin United States
Miguel A. Valvano Canada
Deborah T. Hung relative to Kirill A. Datsenko United States Kirill A. Datsenko's profile →
Citations per field
00.5×1.7×
Kirill A. Datsenko · 1×
Citations per year

Countries citing papers authored by Deborah T. Hung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Deborah T. Hung Line = papers co-authored together Deborah T. Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202318
3 20232
4 20237
5 20221
6 202226
7 202222
8 202129
9
Massively multiplexed nucleic acid detection with Cas13
Hit paper breakdown →
2020592
10 2019134
11 201929
12 201811
13 201777
14
Nucleic acid detection with CRISPR-Cas13a/C2c2
20170
15 2012214
16 2012205
17 2009130
18 200913
19 2007106
20 2005279

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.

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