Phil Huss

472 citations
7 papers · 155 · h-index 5

Impact in

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

Papers in

    • Bacteriophages and microbial interactions 6
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 3
    • Protein Degradation and Inhibitors 1
    • CRISPR and Genetic Engineering 1

Phil Huss

7 papers receiving 155 citations

Peers

Phil Huss
Comparison fields: 5 of 32
  • Ecology 128
  • Microbiology 20
  • Endocrinology 12
  • Molecular Biology 84
  • Molecular Medicine 5
Replace Catherine M. Mageeney with:
Catherine M. Mageeney United States
Henrike Zschach Denmark
Matthew T. Montgomery United States
Kushkina Ai Ukraine
Shweta Karambelkar United States
Madison Cristinziano United States
Paul Terzian France
Christopher Turkington Ireland
Audra E. Devoto Australia
Téa Glonti Belgium
Phil Huss relative to Catherine M. Mageeney United States Catherine M. Mageeney's profile →
Citations per field
00.5×1.5×2.4×
Catherine M. Mageeney · 1×
Citations per year

Countries citing papers authored by Phil Huss

Since Specialization
Citations

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

Fields of papers citing papers by Phil Huss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Phil Huss, 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 Phil Huss Line = papers co-authored together Phil Huss links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202153
2 201940
3 202140
4 20229
5 20246
6 20224
7 20253

About Phil Huss

Phil Huss is a scholar working on Ecology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Genetics, having authored 7 papers that have together received 155 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Protein Degradation and Inhibitors (1 paper), Plant and Fungal Interactions Research (1 paper), CRISPR and Genetic Engineering (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Ecology (128 citations), Microbiology (20 citations), Endocrinology (12 citations), Molecular Biology (84 citations) and Molecular Medicine (5 citations). Phil Huss has collaborated with scholars based in United States and Germany. Frequent co-authors include Srivatsan Raman, Karthik Anantharaman, Kristopher Kieft, Simon Roux, Janina Rahlff, Adam M. Breister, Alexandra M. Linz, Zhichao Zhou, Sarah P. Esser and Alexander J. Probst. Their work appears in journals such as Science Advances, eLife, Trends in Biochemical Sciences, ACS Synthetic Biology and Nature Communications.

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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