John D. Rice
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
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- Microbial Metabolic Engineering and Bioproduction 5
-
- Biofuel production and bioconversion 12
- Co-authors
- James F. Preston (19 shared papers)Franz J. St John (7 shared papers)Terry J. Beveridge (1 shared paper)Yoshikane Itoh (1 shared paper)Jeannette V. Taylor (1 shared paper)Tony Romeo (1 shared paper)Jeffrey Meisner (1 shared paper)Archana Pannuri (1 shared paper)
- Journals
- Applied and Environmental Microbiology (5 papers)American Journal of Clinical Pathology (3 papers)Statistics in Medicine (3 papers)PEDIATRICS (3 papers)Journal of Bacteriology (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
John D. Rice
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 135
- Biotechnology 277
- Health 175
- Endocrinology 53
- Otorhinolaryngology 36
- Biomedical Engineering 314
Countries citing papers authored by John D. Rice
This map shows the geographic impact of John D. Rice'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 D. Rice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Rice more than expected).
Fields of papers citing papers by John D. Rice
This network shows the impact of papers produced by John D. Rice. 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 D. Rice. The network helps show where John D. Rice may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Rice, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 237 | |
| 2 | 2020 | 160 | |
| 3 | 2006 | 112 | |
| 4 | 2011 | 72 | |
| 5 | 1963 | 65 | |
| 6 | 2006 | 55 | |
| 7 | 1992 | 48 | |
| 8 | 2009 | 40 | |
| 9 | 2013 | 30 | |
| 10 | 1960 | 27 | |
| 11 | 2015 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 1983 | 18 | |
| 15 | 2022 | 18 | |
| 16 | 2008 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2014 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2009 | 16 |
About John D. Rice
John D. Rice is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Epidemiology and Statistics and Probability, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (12 papers), Enzyme Production and Characterization (9 papers), Vaccine Coverage and Hesitancy (8 papers), Statistical Methods and Inference (5 papers), Polysaccharides and Plant Cell Walls (5 papers), Statistical Methods and Bayesian Inference (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Biotechnology (277 citations), Health (175 citations), Endocrinology (53 citations), Otorhinolaryngology (36 citations) and Biomedical Engineering (314 citations). John D. Rice has collaborated with scholars based in United States, Canada and China. Frequent co-authors include James F. Preston, Franz J. St John, Terry J. Beveridge, Yoshikane Itoh, Jeannette V. Taylor, Tony Romeo, Jeffrey Meisner, Archana Pannuri, Carlos Goller and Justin Keogh. Their work appears in journals such as Applied and Environmental Microbiology, American Journal of Clinical Pathology, Statistics in Medicine, PEDIATRICS 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.