Robert T. Gaeta

1.8k total citations
15 papers, 1.3k citations indexed

About

Robert T. Gaeta is a scholar working on Plant Science, Molecular Biology and Aging. According to data from OpenAlex, Robert T. Gaeta has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in Molecular Biology and 1 paper in Aging. Recurrent topics in Robert T. Gaeta's work include Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (11 papers) and Plant tissue culture and regeneration (10 papers). Robert T. Gaeta is often cited by papers focused on Chromosomal and Genetic Variations (14 papers), CRISPR and Genetic Engineering (11 papers) and Plant tissue culture and regeneration (10 papers). Robert T. Gaeta collaborates with scholars based in United States, Malaysia and China. Robert T. Gaeta's co-authors include J. Chris Pires, Zhiyong Xiong, T. C. Osborn, Federico Iñiguez-Luy, Enrique J. León, Rick E. Masonbrink, James A. Birchler, R. W. Doerge, Z. Jeffrey Chen and Suk‐Young Yoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Robert T. Gaeta

15 papers receiving 1.3k citations

Peers

Robert T. Gaeta
Comparison fields: 5 of 45
  • Plant Science 1.2k
  • Molecular Biology 858
  • Genetics 250
  • Ecology, Evolution, Behavior and Systematics 112
  • Biochemistry 23
Replace Olivier Coriton with:
Olivier Coriton France
Shu‐Nong Bai China
Joanne West United Kingdom
Andrew Lloyd France
Fernando A. Rabanal Germany
Andrew Spriggs Australia
John Fernandes United States
Pauline E. Jullien Singapore
Simon Renny‐Byfield United States
Alexandre Berr France
Olivier Coriton France View profile →
Citations per field, relative to Robert T. Gaeta
Robert T. Gaeta · 1×
Citations per year, relative to Robert T. Gaeta
Robert T. Gaeta · 1×

Countries citing papers authored by Robert T. Gaeta

Since Specialization
Citations

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

Fields of papers citing papers by Robert T. Gaeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert T. Gaeta

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 7
2 25
3 29
4 5
5 35
6 21
7 1
8 344
9 11
10 31
11 3
12 24
13 245
14 54
15 491

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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2026