John Goodier
Impact in
- Virology top 10%
- Paleontology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Genomics and Phylogenetic Studies 1
-
- Chromosomal and Genetic Variations 5
- Co-authors
- Haig H. Kazazian (3 shared papers)Hao Fan (2 shared papers)Richard J Maraia (2 shared papers)William S. Davidson (1 shared paper)Rebecca Rose (1 shared paper)Gavin Pereira (2 shared papers)David R. Engelke (1 shared paper)Joel R. Chamberlain (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Molecular and Cellular Biology (2 papers)Journal of Molecular Biology (1 paper)Cell Reports (1 paper)Cell (1 paper)
- Partner nations
- United StatesHungaryPakistan
In The Last Decade
John Goodier
24 papers receiving 876 citations
Peers
Comparison fields: 5 of 128
- Virology 57
- Paleontology 63
- Molecular Biology 522
- Plant Science 249
- Immunology 137
Countries citing papers authored by John Goodier
This map shows the geographic impact of John Goodier'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 John Goodier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Goodier more than expected).
Fields of papers citing papers by John Goodier
This network shows the impact of papers produced by John Goodier. 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 John Goodier. The network helps show where John Goodier may publish in the future.
Co-authors
The 25 scholars most cited alongside John Goodier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 162 | |
| 2 | 2013 | 162 | |
| 3 | 2015 | 103 | |
| 4 | 1998 | 100 | |
| 5 | 2016 | 90 | |
| 6 | 1994 | 65 | |
| 7 | 1997 | 63 | |
| 8 | 2017 | 31 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2017 | 15 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 1987 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2018 | 1 |
About John Goodier
John Goodier is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 27 papers that have together received 892 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (2 papers), Viral Infections and Immunology Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Historical and Archaeological Studies (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Virology (57 citations), Paleontology (63 citations), Molecular Biology (522 citations), Plant Science (249 citations) and Immunology (137 citations). John Goodier has collaborated with scholars based in United States, Hungary and Pakistan. Frequent co-authors include Haig H. Kazazian, Hao Fan, Richard J Maraia, William S. Davidson, Rebecca Rose, Gavin Pereira, David R. Engelke, Joel R. Chamberlain, Xiaohong Zhou and Wei Wei. Their work appears in journals such as PLoS Genetics, Molecular and Cellular Biology, Journal of Molecular Biology, Cell Reports and Cell.
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.