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
-
- Plant Molecular Biology Research 10
- Plant Disease Resistance and Genetics 4
- Plant Stress Responses and Tolerance 3
-
- Plant Reproductive Biology 4
- Photosynthetic Processes and Mechanisms 4
- Plant Gene Expression Analysis 3
- Co-authors
- Κωνσταντίνος Κωνσταντόπουλος (7 shared papers)Keiichi Okazaki (16 shared papers)Ryo Fujimoto (16 shared papers)Tomotaro Nishikawa (1 shared paper)Naomi Miyaji (8 shared papers)Agnieszka Marasek-Ciołakowska (1 shared paper)Andreas C. Chai (2 shared papers)Etsuko Itabashi (7 shared papers)
- Journals
- Breeding Science (4 papers)Scientific Reports (3 papers)Frontiers in Plant Science (2 papers)The FASEB Journal (2 papers)Molecular Breeding (2 papers)
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Daniel J. Shea
28 papers receiving 586 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 124
- Plant Science 287
- Endocrinology 24
- Molecular Biology 281
- Oncology 96
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 | 91 | |
| 2 | 2018 | 54 | |
| 3 | 2016 | 42 | |
| 4 | 2022 | 40 | |
| 5 | 2019 | 39 | |
| 6 | 2020 | 37 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2017 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2017 | 17 | |
| 15 | 2015 | 13 | |
| 16 | 2015 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 6 | |
| 20 | 2019 | 6 |
About Daniel J. Shea
Daniel J. Shea is a scholar working on Plant Science, Molecular Biology, Cell Biology, Oncology and Genetics, having authored 28 papers that have together received 597 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Plant Disease Resistance and Genetics (4 papers), Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant and Fungal Interactions Research (3 papers), Plant Gene Expression Analysis (3 papers), Cancer Cells and Metastasis (3 papers) and Plant Stress Responses and Tolerance (3 papers). The work is most often cited by research in Cell Biology (124 citations), Plant Science (287 citations), Endocrinology (24 citations), Molecular Biology (281 citations) and Oncology (96 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, Tomotaro Nishikawa, Naomi Miyaji, Agnieszka Marasek-Ciołakowska, Andreas C. Chai, Etsuko Itabashi, Ayasha Akter and Colin D. Paul. Their work appears in journals such as Breeding Science, Scientific Reports, Frontiers in Plant Science, The FASEB Journal and Molecular Breeding.
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.