D. E. Keathley

736 citations
25 papers · 506 · h-index 13

Impact in

    • Plant Molecular Biology Research
    • Plant tissue culture and regeneration
    • Plant Gene Expression Analysis
    • Plant Reproductive Biology
    • Plant biochemistry and biosynthesis

Papers in

    • Plant tissue culture and regeneration 10
    • Plant Reproductive Biology 5
    • Plant Gene Expression Analysis 5
    • Genomics and Phylogenetic Studies 2
    • Plant Molecular Biology Research 7

D. E. Keathley

25 papers receiving 462 citations

Peers

D. E. Keathley
Comparison fields: 5 of 53
  • Plant Science 319
  • Molecular Biology 344
  • Biotechnology 37
  • Ecology, Evolution, Behavior and Systematics 79
  • Nature and Landscape Conservation 44
Replace Dolores Abarca with:
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Citations per field
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Citations per year

Countries citing papers authored by D. E. Keathley

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Keathley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. E. Keathley, 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 D. E. Keathley Line = papers co-authored together D. E. Keathley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201460
2 200454
3 199353
4 198951
5 200351
6 201138
7 200838
8 199022
9 202115
10 198714
11 198113
12 200313
13 199612
14 198312
15 19909
16 19978
17 19897
18 19877
19 20177
20
Toward efficient clonal propagation of mature black locust trees using tissue culture.
19875

About D. E. Keathley

D. E. Keathley is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Cell Biology and Genetics, having authored 25 papers that have together received 506 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (10 papers), Plant Molecular Biology Research (7 papers), Plant Reproductive Biology (5 papers), Plant Gene Expression Analysis (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Genetic diversity and population structure (3 papers), Wood and Agarwood Research (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Plant Science (319 citations), Molecular Biology (344 citations), Biotechnology (37 citations), Ecology, Evolution, Behavior and Systematics (79 citations) and Nature and Landscape Conservation (44 citations). D. E. Keathley has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Kyung-Hwan Han, John M. Davis, Michael Stine, Kyung‐Hwan Han, Jae‐Heung Ko, D. Pascal Kamdem, Sunchung Park, Barbara B. Sears, Jingjing Yang and Milton P. Gordon. Their work appears in journals such as Tree Physiology, Canadian Journal of Forest Research, Theoretical and Applied Genetics, Plant Cell Reports and Horticulture Research.

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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