J. D. Smith

1.1k citations
54 papers · 938 · h-index 17

Impact in

    • Plant Disease Resistance and Genetics
    • Chromosomal and Genetic Variations
    • Plant Pathogens and Resistance
    • Plant Disease Management Techniques
  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology

Papers in

J. D. Smith

51 papers receiving 816 citations

Peers

J. D. Smith
Comparison fields: 5 of 74
  • Plant Science 571
  • Hepatology 93
  • Biotechnology 68
  • Infectious Diseases 125
  • Endocrinology 34
Replace S. Ganeshan with:
S. Ganeshan Canada
B. Lennart Johnson United States
Jean‐Christophe Boyer France
Ping Lü China
Jerônimo C. Ruiz Brazil
Sabine Lechner Germany
Hans‐Peter Mühlbach Germany
Ervin Balázs Hungary
Diana Radune United States
R. Samson France
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Citations per field
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Citations per year

Countries citing papers authored by J. D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992197
2 1985137
3 198949
4
Nonsense mutations and tRNA suppressors
197947
5 198145
6 200335
7 200332
8 200332
9 200330
10 200323
11 196622
12 199922
13 197519
14
Fungal diseases of turf grasses.
195919
15 196918
16 198217
17 197217
18
Fusarium nivale (Gerlachia nivalis) from cereals and grasses: Is it the same fungus?
198316
19 196516
20 198514

About J. D. Smith

J. D. Smith is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Environmental Chemistry, Cell Biology and Molecular Biology, having authored 54 papers that have together received 938 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (11 papers), Plant Pathogens and Fungal Diseases (9 papers), Turfgrass Adaptation and Management (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetics and Plant Breeding (5 papers), Plant Genetic and Mutation Studies (4 papers), Plant pathogens and resistance mechanisms (4 papers) and Plant Disease Management Techniques (4 papers). The work is most often cited by research in Plant Science (571 citations), Hepatology (93 citations), Biotechnology (68 citations), Infectious Diseases (125 citations) and Endocrinology (34 citations). J. D. Smith has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include K. K. Kidwell, John R. Gold, A. Lane Rayburn, H. James Price, Julio E. Celis, Richard W. Smiley, Robert Cook, Marc A. Evans, Louis B. Polish and Betty H. Robertson. Their work appears in journals such as Crop Science, American Journal of Botany, Weed Science, Canadian Journal of Plant Pathology and Journal of Heredity.

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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