Mark G. Teese
Impact in
- Insect Science top 5%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Pollution top 10%
- Pesticide and Herbicide Environmental Studies
Papers in
-
- Insect Resistance and Genetics 5
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- Lipid Membrane Structure and Behavior 3
- Enzyme Catalysis and Immobilization 2
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- Insect and Pesticide Research 3
- Co-authors
- Dieter Langosch (5 shared papers)Joachim Jose (6 shared papers)Robyn J. Russell (6 shared papers)John G. Oakeshott (6 shared papers)Colin Scott (5 shared papers)Ruth Maas (1 shared paper)Peter M. Campbell (2 shared papers)Guo‐Rui Yuan (2 shared papers)
In The Last Decade
Mark G. Teese
18 papers receiving 878 citations
Peers
Comparison fields: 5 of 90
- Insect Science 182
- Pollution 134
- Molecular Biology 502
- Biomaterials 98
- Health, Toxicology and Mutagenesis 83
Countries citing papers authored by Mark G. Teese
This map shows the geographic impact of Mark G. Teese'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 Mark G. Teese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Teese more than expected).
Fields of papers citing papers by Mark G. Teese
This network shows the impact of papers produced by Mark G. Teese. 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 Mark G. Teese. The network helps show where Mark G. Teese may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark G. Teese, 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 | 2015 | 151 | |
| 2 | 2008 | 148 | |
| 3 | 2006 | 101 | |
| 4 | 2010 | 97 | |
| 5 | 2012 | 69 | |
| 6 | 2009 | 64 | |
| 7 | 2010 | 52 | |
| 8 | 2012 | 34 | |
| 9 | 2013 | 32 | |
| 10 | 2013 | 31 | |
| 11 | 2013 | 28 | |
| 12 | 2015 | 24 | |
| 13 | 2017 | 17 | |
| 14 | 2014 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 |
About Mark G. Teese
Mark G. Teese is a scholar working on Molecular Biology, Insect Science, Plant Science, Pharmacology and Computational Theory and Mathematics, having authored 19 papers that have together received 898 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (5 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), Insect Pest Control Strategies (3 papers), Insect and Pesticide Research (3 papers), Lipid Membrane Structure and Behavior (3 papers), Enzyme Catalysis and Immobilization (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Insect Science (182 citations), Pollution (134 citations), Molecular Biology (502 citations), Biomaterials (98 citations) and Health, Toxicology and Mutagenesis (83 citations). Mark G. Teese has collaborated with scholars based in Germany, Australia and China. Frequent co-authors include Dieter Langosch, Joachim Jose, Robyn J. Russell, John G. Oakeshott, Colin Scott, Ruth Maas, Peter M. Campbell, Guo‐Rui Yuan, Yidong Wu and Chris W. Coppin. Their work appears in journals such as Journal of Biotechnology, Computational and Structural Biotechnology Journal, Insect Biochemistry and Molecular Biology, Scientific Reports and PLoS ONE.
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.