Thomas J. Hardcastle
- Plant Science top 1%
- Molecular Biology top 5%
- Genetics top 5%
- Cancer Research top 10%
- Endocrinology top 5%
- Co-authors
- Krystyna A. KellyDavid C. BaulcombeCharles W. MelnykAttila MolnárAndrew BassettIan R. HendersonXiaohui ZhaoNataliya E. Yelina
- Topics
- Plant Molecular Biology Research (12 papers)Chromosomal and Genetic Variations (8 papers)Plant Virus Research Studies (7 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Thomas J. Hardcastle
28 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Plant Science 1.8k
- Molecular Biology 1.8k
- Genetics 352
- Cancer Research 235
- Endocrinology 116
Countries citing papers authored by Thomas J. Hardcastle
This map shows the geographic impact of Thomas J. Hardcastle'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 J. Hardcastle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Hardcastle more than expected).
Fields of papers citing papers by Thomas J. Hardcastle
This network shows the impact of papers produced by Thomas J. Hardcastle. 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 J. Hardcastle. The network helps show where Thomas J. Hardcastle may publish in the future.
Co-authorship network of co-authors of Thomas J. Hardcastle
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Hardcastle. A scholar is included among the top collaborators of Thomas J. Hardcastle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas J. Hardcastle. Thomas J. Hardcastle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 155 | |
| 3 | 56 | |
| 4 | 44 | |
| 5 | 2 | |
| 6 | 166 | |
| 7 | 62 | |
| 8 | 33 | |
| 9 | 46 | |
| 10 | 89 | |
| 11 | 138 | |
| 12 | 21 | |
| 13 | 16 | |
| 14 | 264 | |
| 15 | 17 | |
| 16 | 28 | |
| 17 | Small Silencing RNAs in Plants Are Mobile and Direct Epigenetic Modification in Recipient Cellsbreakdown → | 554 |
| 18 | baySeq: Empirical Bayesian methods for identifying differential expression in sequence count databreakdown → | 532 |
| 19 | 126 | |
| 20 | 63 |
About Thomas J. Hardcastle
Thomas J. Hardcastle is a scholar working on Plant Science, Endocrinology and Genetics, having authored 28 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Chromosomal and Genetic Variations (8 papers) and Plant Virus Research Studies (7 papers). The work is most often cited by research in Plant Science (1.8k citations), Molecular Biology (1.8k citations) and Endocrinology (116 citations). Thomas J. Hardcastle has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Krystyna A. Kelly, David C. Baulcombe, Charles W. Melnyk, Attila Molnár, Andrew Bassett, Ian R. Henderson, Xiaohui Zhao, Nataliya E. Yelina, James R. Walters and Piotr A. Ziółkowski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.
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.