Patrick Goymer

1.3k citations
53 papers · 964 · h-index 9

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 3
    • Bioinformatics and Genomic Networks 3
    • Genomics and Rare Diseases 3

Patrick Goymer

50 papers receiving 934 citations

Peers

Patrick Goymer
Comparison fields: 5 of 146
  • Aging 300
  • Endocrine and Autonomic Systems 107
  • Endocrinology 73
  • Genetics 212
  • Geriatrics and Gerontology 24
Replace Christina Z. Borland with:
Christina Z. Borland United States
N. Munakata Japan
Alice Démarez France
Peter J. Milburn Australia
Tina Wang United States
Rosanna A. Alegado United States
Laurie S. Kaguni United States
Riccardo Focarelli Italy
Gonzalo Millán-Zambrano Spain
Timothy A. Ryder United Kingdom
Patrick Goymer relative to Christina Z. Borland United States Christina Z. Borland's profile →
Citations per field
00.5×6.6×
Christina Z. Borland · 1×
Citations per year

Countries citing papers authored by Patrick Goymer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Goymer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Patrick Goymer, 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 Patrick Goymer Line = papers co-authored together Patrick Goymer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003403
2 2003226
3 200680
4 200756
5 201240
6 200839
7 200823
8 201811
9 20138
10 20055
11 20065
12 20075
13 20064
14 19993
15 20063
16 20143
17 20073
18
Dietary restriction in Drosophila. Response
20043
19 20073
20 20242

About Patrick Goymer

Patrick Goymer is a scholar working on Molecular Biology, Genetics, Cancer Research, Aging and Plant Science, having authored 53 papers that have together received 964 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Rare Diseases (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Aging (300 citations), Endocrine and Autonomic Systems (107 citations), Endocrinology (73 citations), Genetics (212 citations) and Geriatrics and Gerontology (24 citations). Patrick Goymer has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include William B. Mair, Linda Partridge, Scott D. Pletcher, Paul B. Rainey, Ralf Paul, Phillip D. Aldridge, Urs Jenal, Stefanie Gehrig, Andrew J. Spiers and Jacob G. Malone. Their work appears in journals such as Nature Reviews Genetics, Nature reviews. Cancer, Nature Ecology & Evolution, Nature and Nature reviews. Neuroscience.

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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