Daniel D. Seaton

2.2k citations
27 papers · 1.1k · h-index 17

Impact in

    • Light effects on plants
    • Plant Molecular Biology Research
    • Photosynthetic Processes and Mechanisms
    • Single-cell and spatial transcriptomics
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Gene Regulatory Network Analysis

Papers in

    • Photosynthetic Processes and Mechanisms 7
    • CRISPR and Genetic Engineering 5
    • Gene Regulatory Network Analysis 5
    • Single-cell and spatial transcriptomics 3
    • Genomics and Phylogenetic Studies 2
    • Light effects on plants 9
    • Plant Molecular Biology Research 8
    • Greenhouse Technology and Climate Control 3

Daniel D. Seaton

27 papers receiving 1.1k citations

Peers

Daniel D. Seaton
Comparison fields: 5 of 86
  • Plant Science 435
  • Molecular Biology 742
  • Aging 16
  • Genetics 219
  • Biophysics 27
Replace Sidney H. Wang with:
Sidney H. Wang United States
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Sarah Aldridge United Kingdom
Serguei Parinov Singapore
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Jill C. Sible United States
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Haruka Ozaki Japan
Diego Marques Coelho Brazil
Chao-Kung Chen United Kingdom
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Citations per field
00.5×1.5×2×2.3×
Sidney H. Wang · 1×
Citations per year

Countries citing papers authored by Daniel D. Seaton

Since Specialization
Citations

This map shows the geographic impact of Daniel D. Seaton'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 D. Seaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Seaton more than expected).

Fields of papers citing papers by Daniel D. Seaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. Seaton. 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 D. Seaton. The network helps show where Daniel D. Seaton may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel D. Seaton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel D. Seaton Line = papers co-authored together Daniel D. Seaton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020183
2 2021167
3 2016100
4 201585
5 201866
6 202063
7 201659
8 202047
9 202144
10 201839
11 202135
12 201533
13 201432
14 202528
15 201325
16 201619
17 202019
18 201916
19 201112
20 201612

About Daniel D. Seaton

Daniel D. Seaton is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Spectroscopy, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Light effects on plants (9 papers), Plant Molecular Biology Research (8 papers), Photosynthetic Processes and Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers), Gene Regulatory Network Analysis (5 papers), Single-cell and spatial transcriptomics (3 papers), Greenhouse Technology and Climate Control (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Plant Science (435 citations), Molecular Biology (742 citations), Aging (16 citations), Genetics (219 citations) and Biophysics (27 citations). Daniel D. Seaton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Karen Halliday, Andrew John Millar, Johanna Krahmer, Mark D. Stitt, J. Krishnan, Oliver Stegle, Takato Imaizumi, Marc Jan Bonder, Robert W. Smith and Yin Hoon Chew. Their work appears in journals such as Nature Communications, Nature Genetics, Proceedings of the National Academy of Sciences, Molecular Systems Biology and Physical Biology.

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.

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