George N. Bennett
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction 9
- Biochemical and Molecular Research 2
- Genomics and Phylogenetic Studies 2
- Biotechnology top 5%
- Biomedical Engineering top 10%
- Genetics top 10%
- Bacterial Genetics and Biotechnology 5
- Nutrition and Dietetics top 10%
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- Enzyme Structure and Function 3
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- Metabolism and Genetic Disorders 2
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- Probiotics and Fermented Foods 2
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- Microbial Fuel Cells and Bioremediation 2
- Co-authors
- Ka‐Yiu SanYuri I. WolfQiandong ZengRoman L. TatusovMichael J. DalyKira S. MakarovaJörk NöllingMarina V. Omelchenko
- Partner nations
- United StatesFinlandChina
In The Last Decade
George N. Bennett
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 763
- Biotechnology 95
- Biomedical Engineering 392
- Genetics 209
- Nutrition and Dietetics 90
Countries citing papers authored by George N. Bennett
This map shows the geographic impact of George N. Bennett'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 George N. Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George N. Bennett more than expected).
Fields of papers citing papers by George N. Bennett
This network shows the impact of papers produced by George N. Bennett. 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 George N. Bennett. The network helps show where George N. Bennett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George N. Bennett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 18 | |
| 2 | 2021 | 23 | |
| 3 | 2020 | 8 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 12 | |
| 7 | 2007 | 9 | |
| 8 | 2006 | 93 | |
| 9 | 2005 | 34 | |
| 10 | 2002 | 50 | |
| 11 | Genome Sequence and Comparative Analysis of the Solvent-Producing BacteriumClostridium acetobutylicumbreakdown → | 2001 | 634 |
| 12 | 1999 | 52 | |
| 13 | 1996 | 5 | |
| 14 | 1996 | 43 | |
| 15 | 1995 | 17 | |
| 16 | 1995 | 2 | |
| 17 | 1989 | 16 |
About George N. Bennett
George N. Bennett is a scholar working on Clinical Biochemistry, Biochemistry and Genetics, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Bacterial Genetics and Biotechnology (5 papers), Enzyme Structure and Function (3 papers), Metabolism and Genetic Disorders (2 papers), Probiotics and Fermented Foods (2 papers), Biochemical and Molecular Research (2 papers), Microbial Fuel Cells and Bioremediation (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (763 citations), Biotechnology (95 citations) and Biomedical Engineering (392 citations). George N. Bennett has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Ka‐Yiu San, Yuri I. Wolf, Qiandong Zeng, Roman L. Tatusov, Michael J. Daly, Kira S. Makarova, Jörk Nölling, Marina V. Omelchenko, Lynn Doucette‐Stamm and Eugene V. Koonin. Their work appears in journals such as Journal of Bacteriology, FEMS Microbiology Reviews and Gene.
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.