Thomas Shafee
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Biochemical and Structural Characterization 12
- Biomedical Text Mining and Ontologies 6
- RNA and protein synthesis mechanisms 4
- Microbiology 11
- Antimicrobial Peptides and Activities 11
- Co-authors
- Mark R. Bleackley (7 shared papers)Rohan G. T. Lowe (5 shared papers)Neil J. Shirley (1 shared paper)Stephen K. Dolan (1 shared paper)Marilyn A. Anderson (14 shared papers)Mark D. Hulett (5 shared papers)Fung T. Lay (3 shared papers)Nicole L. van der Weerden (5 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Molecular Biology and Evolution (2 papers)Advances in botanical research (2 papers)Journal of Fungi (2 papers)Bioinformatics (1 paper)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Thomas Shafee
36 papers receiving 2.0k citations
Thomas Shafee's Hit Papers
Peers
Comparison fields: 5 of 140
- Microbiology 545
- Biotechnology 203
- Molecular Biology 1.2k
- Plant Science 428
- Communication 69
Countries citing papers authored by Thomas Shafee
This map shows the geographic impact of Thomas Shafee'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 Thomas Shafee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Shafee more than expected).
Fields of papers citing papers by Thomas Shafee
This network shows the impact of papers produced by Thomas Shafee. 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 Thomas Shafee. The network helps show where Thomas Shafee may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Shafee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptomics technologies Hit paper breakdown → | 2017 | 831 |
| 2 | 2018 | 181 | |
| 3 | 2016 | 167 | |
| 4 | 2016 | 117 | |
| 5 | 2018 | 107 | |
| 6 | 2017 | 65 | |
| 7 | 2019 | 65 | |
| 8 | 2011 | 61 | |
| 9 | 2016 | 47 | |
| 10 | 2020 | 44 | |
| 11 | 2020 | 38 | |
| 12 | 2016 | 38 | |
| 13 | 2018 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2019 | 24 | |
| 16 | 2019 | 24 | |
| 17 | 2019 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2021 | 21 | |
| 20 | 2023 | 19 |
About Thomas Shafee
Thomas Shafee is a scholar working on Molecular Biology, Microbiology, Plant Science, Communication and Artificial Intelligence, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (12 papers), Antimicrobial Peptides and Activities (11 papers), Wikis in Education and Collaboration (7 papers), Biomedical Text Mining and Ontologies (6 papers), Polysaccharides and Plant Cell Walls (5 papers), RNA and protein synthesis mechanisms (4 papers), Topic Modeling (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Microbiology (545 citations), Biotechnology (203 citations), Molecular Biology (1.2k citations), Plant Science (428 citations) and Communication (69 citations). Thomas Shafee has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Mark R. Bleackley, Rohan G. T. Lowe, Neil J. Shirley, Stephen K. Dolan, Marilyn A. Anderson, Mark D. Hulett, Fung T. Lay, Nicole L. van der Weerden, Thanh Kha Phan and Kathy Parisi. Their work appears in journals such as PLoS Computational Biology, Molecular Biology and Evolution, Advances in botanical research, Journal of Fungi and Bioinformatics.
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.