Trevor L. Starr
Impact in
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
- Cellular transport and secretion
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Polysaccharides and Plant Cell Walls
- Mycorrhizal Fungi and Plant Interactions
Papers in
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- Fungal and yeast genetics research 6
- Microbial Metabolic Engineering and Bioproduction 1
- RNA regulation and disease 1
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- Cellular transport and secretion 5
- Endoplasmic Reticulum Stress and Disease 2
- Plant Pathogens and Fungal Diseases 1
- Co-authors
- N. Louise Glass (7 shared papers)Christian P. Kubicek (1 shared paper)Randy Schekman (2 shared papers)James Craig (2 shared papers)Samuel T. Coradetti (1 shared paper)Alenka Čopič (1 shared paper)Silvère Pagant (1 shared paper)Chao-Wen Wang (1 shared paper)
- Journals
- PLoS Genetics (1 paper)Eukaryotic Cell (1 paper)Biotechnology for Biofuels (1 paper)Annual Review of Phytopathology (1 paper)mBio (1 paper)
- Partner nations
- United StatesAustriaPortugal
In The Last Decade
Trevor L. Starr
9 papers receiving 963 citations
Trevor L. Starr's Hit Papers
Peers
Comparison fields: 5 of 57
- Cell Biology 340
- Plant Science 670
- Molecular Biology 423
- Biotechnology 51
- Pharmacology 83
Countries citing papers authored by Trevor L. Starr
This map shows the geographic impact of Trevor L. Starr'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 Trevor L. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor L. Starr more than expected).
Fields of papers citing papers by Trevor L. Starr
This network shows the impact of papers produced by Trevor L. Starr. 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 Trevor L. Starr. The network helps show where Trevor L. Starr may publish in the future.
Co-authors
The 21 scholars most cited alongside Trevor L. Starr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Plant Cell Wall–Degrading Enzymes and Their Secretion in Plant-Pathogenic Fungi Hit paper breakdown → | 2014 | 663 |
| 2 | 2015 | 85 | |
| 3 | 2014 | 62 | |
| 4 | 2007 | 52 | |
| 5 | 2012 | 39 | |
| 6 | 2015 | 28 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 12 | |
| 9 | 2015 | 10 |
About Trevor L. Starr
Trevor L. Starr is a scholar working on Molecular Biology, Cell Biology, Plant Science, Pharmacology and Biomedical Engineering, having authored 9 papers that have together received 972 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Cellular transport and secretion (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Cell Biology (340 citations), Plant Science (670 citations), Molecular Biology (423 citations), Biotechnology (51 citations) and Pharmacology (83 citations). Trevor L. Starr has collaborated with scholars based in United States, Austria and Portugal. Frequent co-authors include N. Louise Glass, Christian P. Kubicek, Randy Schekman, James Craig, Samuel T. Coradetti, Alenka Čopič, Silvère Pagant, Chao-Wen Wang, Wilfried Jonkers and Feng Yang. Their work appears in journals such as PLoS Genetics, Eukaryotic Cell, Biotechnology for Biofuels, Annual Review of Phytopathology and mBio.
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.