Daniel J. Shea
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
Papers in
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- Plant Molecular Biology Research 10
- Chromosomal and Genetic Variations 4
- Plant Disease Resistance and Genetics 4
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- Genomics and Phylogenetic Studies 5
- Plant Reproductive Biology 4
- Photosynthetic Processes and Mechanisms 4
- Co-authors
- Κωνσταντίνος Κωνσταντόπουλος (7 shared papers)Keiichi Okazaki (16 shared papers)Ryo Fujimoto (16 shared papers)Naomi Miyaji (8 shared papers)Tomotaro Nishikawa (1 shared paper)Agnieszka Marasek-Ciołakowska (1 shared paper)Ayasha Akter (6 shared papers)Colin D. Paul (2 shared papers)
- Journals
- Breeding Science (4 papers)Scientific Reports (3 papers)Frontiers in Plant Science (2 papers)The Horticulture Journal (2 papers)The FASEB Journal (2 papers)
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Daniel J. Shea
28 papers receiving 560 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 125
- Plant Science 280
- Endocrinology 27
- Molecular Biology 294
- Oncology 95
Countries citing papers authored by Daniel J. Shea
This map shows the geographic impact of Daniel J. Shea'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 Daniel J. Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Shea more than expected).
Fields of papers citing papers by Daniel J. Shea
This network shows the impact of papers produced by Daniel J. Shea. 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 Daniel J. Shea. The network helps show where Daniel J. Shea may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Shea, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 85 | |
| 2 | 2018 | 53 | |
| 3 | 2016 | 41 | |
| 4 | 2022 | 37 | |
| 5 | 2019 | 36 | |
| 6 | 2019 | 35 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 32 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 26 | |
| 11 | 2019 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2017 | 17 | |
| 15 | 2015 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2019 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 6 | |
| 20 | 2018 | 6 |
About Daniel J. Shea
Daniel J. Shea is a scholar working on Plant Science, Molecular Biology, Cell Biology, Genetics and Oncology, having authored 28 papers that have together received 571 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Genomics and Phylogenetic Studies (5 papers), Plant Reproductive Biology (4 papers), Chromosomal and Genetic Variations (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant Disease Resistance and Genetics (4 papers), Plant and Fungal Interactions Research (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cell Biology (125 citations), Plant Science (280 citations), Endocrinology (27 citations), Molecular Biology (294 citations) and Oncology (95 citations). Daniel J. Shea has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Κωνσταντίνος Κωνσταντόπουλος, Keiichi Okazaki, Ryo Fujimoto, Naomi Miyaji, Tomotaro Nishikawa, Agnieszka Marasek-Ciołakowska, Ayasha Akter, Colin D. Paul, Etsuko Itabashi and Andreas C. Chai. Their work appears in journals such as Breeding Science, Scientific Reports, Frontiers in Plant Science, The Horticulture Journal and The FASEB Journal.
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.