Brad Goodner

1.9k citations
16 papers · 391 · h-index 9

Impact in

Papers in

    • Plant tissue culture and regeneration 4
    • Genomics and Phylogenetic Studies 2
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Microbial Community Ecology and Physiology 2

Brad Goodner

12 papers receiving 372 citations

Peers

Brad Goodner
Comparison fields: 5 of 84
  • Oceanography 56
  • Plant Science 131
  • Molecular Biology 223
  • Endocrinology 16
  • Aging 5
Replace Ron M. MacKay with:
Ron M. MacKay Canada
Lars Gabriel Germany
Jennifer S. Sun United States
James E. Jurgenson United States
Michael A. McClure United States
Deborah D. Fisher United States
Santoshkumar Magadum India
Ekta Shukla India
Kumiko Kihara Japan
Xiaojing Xu China
Brad Goodner relative to Ron M. MacKay Canada Ron M. MacKay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brad Goodner

Since Specialization
Citations

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

Fields of papers citing papers by Brad Goodner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1993106
2 200784
3 201066
4 201030
5 199329
6 199926
7 199515
8 201413
9 20209
10 20068
11 20074
12
Functional Genomics: Using Reverse Genetics to Test BioinformaticsPredictions
20061
13 20200
14 20080
15 20200
16 20200

About Brad Goodner

Brad Goodner is a scholar working on Molecular Biology, Ecology, Genetics, Biotechnology and Plant Science, having authored 16 papers that have together received 391 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (4 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cellular Mechanics and Interactions (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). The work is most often cited by research in Oceanography (56 citations), Plant Science (131 citations), Molecular Biology (223 citations), Endocrinology (16 citations) and Aging (5 citations). Brad Goodner has collaborated with scholars based in United States, Germany and Morocco. Frequent co-authors include Ralph S. Quatrano, Martha R. Weiss, Daniela Rodrigues, Barry S. Goldman, Steven Slater, Zijin Du, W. Brad Barbazuk, Nancy Miller, Helge B. Bode and Steve Forst. Their work appears in journals such as The Plant Cell, PLoS ONE, Ethology, Plant Cell Tissue and Organ Culture (PCTOC) and Journal of Bacteriology.

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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