Chien‐Che Hung

15 papers receiving 318 citations

Chien‐Che Hung's Hit Papers

A Gram-negative-selective antibiotic that spares the gut microbiome 2024 · 68 citations
680+1Years since publication204060

Peers

Chien‐Che Hung
Comparison fields: 5 of 68
  • Endocrinology 102
  • Molecular Medicine 48
  • Food Science 151
  • Infectious Diseases 88
  • Applied Microbiology and Biotechnology 8
Replace Ellen E. Higginson with:
Ellen E. Higginson United States
Anna K. Pöntinen Finland
Martina Florianová Czechia
Niladri Bhusan Pati India
Akane Tokumitsu Japan
Hongqing Zhao China
Anamaria Mota Pereira dos Santos Brazil
Pierre-Emmanuel Douarre France
Dianna Schoonmaker-Bopp United States
Alena Ševčíková Czechia
Chien‐Che Hung relative to Ellen E. Higginson United States Ellen E. Higginson's profile →
Citations per field
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Ellen E. Higginson · 1×
Citations per year

Countries citing papers authored by Chien‐Che Hung

Since Specialization
Citations

This map shows the geographic impact of Chien‐Che 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 Chien‐Che Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Che Hung more than expected).

Fields of papers citing papers by Chien‐Che Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Che 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 Chien‐Che Hung. The network helps show where Chien‐Che Hung may publish in the future.

Co-authors

The 25 scholars most cited alongside Chien‐Che 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 Chien‐Che Hung Line = papers co-authored together Chien‐Che Hung links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013129
2
A Gram-negative-selective antibiotic that spares the gut microbiome
Hit paper breakdown →
202468
3 201645
4 202224
5 201215
6 201815
7 201913
8 20168
9 20232
10 20242
11 20241
12 20251
13 20241
14 20221
15 20211
16 20250
17 20240
18 20250

About Chien‐Che Hung

Chien‐Che Hung is a scholar working on Food Science, Molecular Biology, Epidemiology, Infectious Diseases and Small Animals, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (7 papers), Bacterial Identification and Susceptibility Testing (3 papers), Gut microbiota and health (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Escherichia coli research studies (2 papers), Veterinary medicine and infectious diseases (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (102 citations), Molecular Medicine (48 citations), Food Science (151 citations), Infectious Diseases (88 citations) and Applied Microbiology and Biotechnology (8 citations). Chien‐Che Hung has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Craig Altier, Colleen R. Eade, Cherilyn D. Garner, James M. Slauch, Sara D. Lawhon, Brian M. M. Ahmer, Michael McClelland, Jonathan G. Frye, Geoffrey Gonzalez-Escobedo and John S. Gunn. Their work appears in journals such as Frontiers in Veterinary Science, Journal of Veterinary Diagnostic Investigation, Molecular Microbiology, Infection and Immunity and Zoonoses and Public Health.

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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