Tiffany Hsu

1.9k citations
14 papers · 1.3k indexed · 2 hit papers · h-index 11

Tiffany Hsu

14 papers receiving 1.3k citations

Hit Papers

Schrödinger’s microbes: Tools for distinguishing the livi...3352015202620182022100200300400

Peers

Tiffany Hsu
Comparison fields: 5 of 138
  • Endocrinology 60
  • Pollution 123
  • Molecular Biology 735
  • Health, Toxicology and Mutagenesis 138
  • Ecology 254
Replace Thomas J. Palys with:
Thomas J. Palys United States
Cédric C. Laczny Luxembourg
Erik S. Wright United States
Arne Materna United States
Thomas Weinmaier Austria
Mohamed El-Hadidi Egypt
Daniela I. Drautz‐Moses Singapore
Melissa L. Wos‐Oxley Germany
Despina Tsementzi United States
Ryan McClure United States
Tiffany Hsu relative to Thomas J. Palys United States Thomas J. Palys's profile →
Citations per field
00.5×2.7×
Thomas J. Palys · 1×
Citations per year

Countries citing papers authored by Tiffany Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiffany Hsu. 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 Tiffany Hsu. The network helps show where Tiffany Hsu may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20256
2 202016
3 20197
4
Schrödinger’s microbes: Tools for distinguishing the living from the dead in microbial ecosystemsbreakdown →
2017335
5 201722
6 20165
7 2016125
8 2016111
9
Sequencing and beyond: integrating molecular 'omics' for microbial community profilingbreakdown →
2015483
10 201465
11 201322
12 201312
13 201243
14 201217

About Tiffany Hsu

Tiffany Hsu is a scholar working on Periodontics, Food Science and Microbiology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (4 papers), Fungal and yeast genetics research (4 papers), Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (3 papers), Bacteriophages and microbial interactions (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Endocrinology (60 citations), Pollution (123 citations) and Molecular Biology (735 citations). Tiffany Hsu has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Curtis Huttenhower, Galeb Abu-Ali, Xochitl C. Morgan, Afrah Shafquat, Eric A. Franzosa, Alexandra Sirota‐Madi, Erica M. Hartmann, Rachel B. Brem, Jessica L. Green and David A. Coil. Their work appears in journals such as Environmental Science & Technology, Nature Reviews Microbiology and Genome 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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