Peter J. Good

30.3k citations
27 papers · 2.0k · h-index 20

Impact in

    • RNA Research and Splicing
    • Developmental Biology and Gene Regulation
    • Ion Transport and Channel Regulation
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Congenital heart defects research
    • Pluripotent Stem Cells Research

Papers in

    • RNA Research and Splicing 8
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 5
    • Developmental Biology and Gene Regulation 4
    • Congenital heart defects research 3
    • Ion Transport and Channel Regulation 3
    • Plant Stress Responses and Tolerance 3

Peter J. Good

27 papers receiving 2.0k citations

Peers

Peter J. Good
Comparison fields: 5 of 96
  • Molecular Biology 1.7k
  • Developmental Neuroscience 73
  • Cell Biology 166
  • Aging 17
  • Cellular and Molecular Neuroscience 173
Replace Tomoyuki Tokunaga with:
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Esmond J. Sanders Canada
Claire Chazaud France
Yevgenya Grinblat United States
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Peter J. Good relative to Tomoyuki Tokunaga Japan Tomoyuki Tokunaga's profile →
Citations per field
00.5×1.5×
Tomoyuki Tokunaga · 1×
Citations per year

Countries citing papers authored by Peter J. Good

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Good. 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 Peter J. Good. The network helps show where Peter J. Good may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992342
2 1995274
3 1995194
4 1983138
5 1996121
6 2000117
7 199098
8 199290
9 199887
10 199764
11 199059
12 199757
13 198950
14 199149
15 198841
16 199340
17 198937
18 200432
19 198828
20 199826

About Peter J. Good

Peter J. Good is a scholar working on Molecular Biology, Plant Science, Cell Biology, Oncology and Surgery, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Developmental Biology and Gene Regulation (4 papers), Plant Stress Responses and Tolerance (3 papers), Polyomavirus and related diseases (3 papers), Congenital heart defects research (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Developmental Neuroscience (73 citations), Cell Biology (166 citations), Aging (17 citations) and Cellular and Molecular Neuroscience (173 citations). Peter J. Good has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Igor B. Dawid, Masanori Taira, Milan Jamrich, Klaus Richter, Richard M. Harland, Anne K. Knecht, K. Geering, P Jaunin, Bernard C. Rossier and John E. Mayfield. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Nucleic Acids Research, American Journal of Physiology-Cell Physiology and Journal of Biological Chemistry.

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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