Graham Moore

7.7k total citations · 2 hit papers
78 papers, 4.5k citations indexed

About

Graham Moore is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Graham Moore has authored 78 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Plant Science, 40 papers in Molecular Biology and 20 papers in Genetics. Recurrent topics in Graham Moore's work include Chromosomal and Genetic Variations (56 papers), Plant Disease Resistance and Genetics (20 papers) and Wheat and Barley Genetics and Pathology (19 papers). Graham Moore is often cited by papers focused on Chromosomal and Genetic Variations (56 papers), Plant Disease Resistance and Genetics (20 papers) and Wheat and Barley Genetics and Pathology (19 papers). Graham Moore collaborates with scholars based in United Kingdom, United States and Spain. Graham Moore's co-authors include Peter Shaw, Steve Reader, Katrien M. Devos, Tracie Foote, M. D. Gale, Enrique Martínez-Pérez, Luis Aragón-Alcaide, Azahara C. Martín, Terry E. Miller and Trude Schwarzacher and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Graham Moore

77 papers receiving 4.4k citations

Hit Papers

JNK2 contains a specificity-determining region responsibl... 1994 2026 2004 2015 1994 1995 100 200 300 400 500

Peers

Graham Moore
Comparison fields: 5 of 110
  • Plant Science 3.6k
  • Molecular Biology 2.4k
  • Genetics 1.0k
  • Ecology, Evolution, Behavior and Systematics 225
  • Cell Biology 205
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Citations per field, relative to Graham Moore
Graham Moore · 1×
Citations per year, relative to Graham Moore
Graham Moore · 1×

Countries citing papers authored by Graham Moore

Since Specialization
Citations

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

Fields of papers citing papers by Graham Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham Moore. 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 Graham Moore. The network helps show where Graham Moore may publish in the future.

Co-authorship network of co-authors of Graham Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Moore. A scholar is included among the top collaborators of Graham Moore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graham Moore. Graham Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 23
3 14
4 60
5 28
6 17
7 28
8 22
9 70
10 23
11 33
12 54
13 148
14 32
15 27
16
Cereal Genome Evolution: Grasses, line up and form a circle breakdown →
505
17 76
18 28
19 27
20
Linkage analysis of chromosome 17 markers in British and South African families with neurofibromatosis type I.
12

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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