Grant T. Godden

22 total papers · 1.1k total citations
14 papers, 515 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 515 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, Natalia Dudareva, Dongyan Zhao, Srikar Chamala, Ingrid Jordon‐Thaden, Douglas E. Soltis and Brieanne Vaillancourt 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 514 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Grant T. Godden 407 203 147 88 62 14 515
Xinlian Chen 452 1.1× 140 0.7× 129 0.9× 83 0.9× 44 0.7× 16 567
Yingxian Cui 499 1.2× 167 0.8× 153 1.0× 100 1.1× 45 0.7× 20 614
Xuezhu Liao 468 1.1× 219 1.1× 136 0.9× 92 1.0× 26 0.4× 30 576
H. ’t Hart 244 0.6× 275 1.4× 224 1.5× 58 0.7× 32 0.5× 26 451
Minghui Kang 397 1.0× 284 1.4× 81 0.6× 142 1.6× 40 0.6× 22 588
Ken Tateishi 317 0.8× 259 1.3× 73 0.5× 61 0.7× 29 0.5× 14 613
Mingfang Zhang 281 0.7× 252 1.2× 90 0.6× 52 0.6× 48 0.8× 14 476
Yunyun Niu 470 1.2× 172 0.8× 44 0.3× 31 0.4× 74 1.2× 11 558
Kenji Fukushima 261 0.6× 380 1.9× 115 0.8× 79 0.9× 23 0.4× 28 599
Shuo Shi 444 1.1× 218 1.1× 258 1.8× 134 1.5× 18 0.3× 14 618

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

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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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