Grant T. Godden

1.1k total citations
14 papers, 519 citations indexed

About

Grant T. Godden is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Grant T. Godden has authored 14 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Grant T. Godden's work include Genomics and Phylogenetic Studies (7 papers), Plant biochemistry and biosynthesis (5 papers) and Chromosomal and Genetic Variations (4 papers). Grant T. Godden is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Plant biochemistry and biosynthesis (5 papers) and Chromosomal and Genetic Variations (4 papers). Grant T. Godden collaborates with scholars based in United States, United Kingdom and China. Grant T. Godden's co-authors include Pamela S. Soltis, C. Robin Buell, Benjamin R. Lichman, Nicolás García, Ingrid Jordon‐Thaden, Srikar Chamala, Natalia Dudareva, Dongyan Zhao, Vivek Krishnakumar and W. Brad Barbazuk and has published in prestigious journals such as Science Advances, Frontiers in Plant Science and Current Opinion in Plant Biology.

In The Last Decade

Grant T. Godden

14 papers receiving 518 citations

Peers

Grant T. Godden
Comparison fields: 5 of 48
  • Molecular Biology 410
  • Plant Science 205
  • Ecology, Evolution, Behavior and Systematics 147
  • Genetics 89
  • Pharmacology 64
Replace Xuezhu Liao with:
Xuezhu Liao China
S. R. Yadav India
Chae Eun Lim South Korea
Enwei Tian China
Krystle Wiegert‐Rininger United States
Xianghong Du China
Mingfang Zhang China
Yunyun Niu China
Jei-Wan Lee South Korea
Shuo Shi China
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Citations per field, relative to Grant T. Godden
Grant T. Godden · 1×
Citations per year, relative to Grant T. Godden
Grant T. Godden · 1×

Countries citing papers authored by Grant T. Godden

Since Specialization
Citations

This map shows the geographic impact of Grant T. Godden'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 Grant T. Godden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant T. Godden more than expected).

Fields of papers citing papers by Grant T. Godden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant T. Godden. 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 Grant T. Godden. The network helps show where Grant T. Godden may publish in the future.

Co-authorship network of co-authors of Grant T. Godden

This figure shows the co-authorship network connecting the top 25 collaborators of Grant T. Godden. A scholar is included among the top collaborators of Grant T. Godden 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 Grant T. Godden. Grant T. Godden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 2
3 21
4 6
5 9
6 5
7 45
8 31
9 94
10 49
11 26
12 100
13 100
14 30

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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