Shr-Hau Hung

546 citations
8 papers · 347 · h-index 6

Impact in

    • Microbial infections and disease research
  • Ecology top 10%
    • Bacteriophages and microbial interactions

Papers in

    • Bacteriophages and microbial interactions 4
    • Microbial infections and disease research 3

Shr-Hau Hung

7 papers receiving 343 citations

Peers

Shr-Hau Hung
Comparison fields: 5 of 58
  • Microbiology 72
  • Ecology 263
  • Endocrinology 35
  • Molecular Medicine 26
  • Infectious Diseases 47
Replace María Isabel Rojas with:
María Isabel Rojas United States
Slawomir Michniewski United Kingdom
Leandra E. Knecht Switzerland
Holly Sanders United Kingdom
Susanne Meile Switzerland
Lidija Truncaitė Lithuania
Filip Orwat Poland
Naomi Hoyle United States
Lia Nadareishvili Germany
Andrey M. Shadrin Russia
Shr-Hau Hung relative to María Isabel Rojas United States María Isabel Rojas's profile →
Citations per field
00.5×
María Isabel Rojas · 1×
Citations per year

Countries citing papers authored by Shr-Hau Hung

Since Specialization
Citations

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

Fields of papers citing papers by Shr-Hau Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shr-Hau 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 Shr-Hau Hung. The network helps show where Shr-Hau Hung may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016254
2 201846
3 202319
4 201310
5 20239
6 20237
7 20202
8 20210

About Shr-Hau Hung

Shr-Hau Hung is a scholar working on Ecology, Microbiology, Molecular Biology, Oceanography and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 347 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Microbial infections and disease research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA modifications and cancer (2 papers), Marine and coastal ecosystems (2 papers), RNA and protein synthesis mechanisms (2 papers), Diatoms and Algae Research (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Microbiology (72 citations), Ecology (263 citations), Endocrinology (35 citations), Molecular Medicine (26 citations) and Infectious Diseases (47 citations). Shr-Hau Hung has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Forest Rohwer, María Isabel Rojas, Natasha Bonilla, Jeremy J. Barr, Giuliano Netto Flores Cruz, Katelyn McNair, Robert A. Edwards, Ana G. Cobián-Güemes, Sean Benler and Kyle Levi. Their work appears in journals such as Nucleic Acids Research, Virology, Microbiome, Botanica Marina and PeerJ.

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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