John Goodier
Impact in
- Earth-Surface Processes top 5%
- Soil Science top 5%
- Irrigation Practices and Water Management
Papers in
-
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 2
-
- Chromosomal and Genetic Variations 5
- Co-authors
- Haig H. Kazazian (3 shared papers)Richard J Maraia (2 shared papers)Hao Fan (2 shared papers)William S. Davidson (1 shared paper)Gavin Pereira (2 shared papers)Rebecca Rose (1 shared paper)Joel R. Chamberlain (1 shared paper)David R. Engelke (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)PLoS Genetics (2 papers)Cell Reports (1 paper)Mobile DNA (1 paper)Cell (1 paper)
- Partner nations
- United KingdomUnited StatesHungary
In The Last Decade
John Goodier
89 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 220
- Earth-Surface Processes 151
- Soil Science 201
- Paleontology 133
- Atmospheric Science 299
- Global and Planetary Change 297
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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 366 | |
| 2 | 2007 | 297 | |
| 3 | 2009 | 287 | |
| 4 | 2006 | 177 | |
| 5 | 2002 | 163 | |
| 6 | 2013 | 162 | |
| 7 | 2012 | 108 | |
| 8 | 2015 | 106 | |
| 9 | 2008 | 101 | |
| 10 | 1998 | 100 | |
| 11 | 2016 | 90 | |
| 12 | 2003 | 67 | |
| 13 | 1994 | 65 | |
| 14 | 2013 | 64 | |
| 15 | 1997 | 63 | |
| 16 | 2008 | 59 | |
| 17 | 2010 | 50 | |
| 18 | 2007 | 49 | |
| 19 | 2014 | 45 | |
| 20 | 2010 | 45 |
About John Goodier
John Goodier is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine and Astronomy and Astrophysics, having authored 99 papers that have together received 3.0k 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), Complementary and Alternative Medicine Studies (2 papers), Viral Infections and Immunology Research (2 papers), CRISPR and Genetic Engineering (2 papers), Water resources management and optimization (1 paper) and Historical and Archaeological Studies (1 paper). The work is most often cited by research in Earth-Surface Processes (151 citations), Soil Science (201 citations), Paleontology (133 citations), Atmospheric Science (299 citations) and Global and Planetary Change (297 citations). John Goodier has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Haig H. Kazazian, Richard J Maraia, Hao Fan, William S. Davidson, Gavin Pereira, Rebecca Rose, Joel R. Chamberlain, David R. Engelke, Ke Zhao and Haig H. Kazazian. Their work appears in journals such as Molecular and Cellular Biology, PLoS Genetics, Cell Reports, Mobile DNA 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.