T.M. Gloster
Impact in
- Biotechnology top 0.2%
- Enzyme Production and Characterization
- Organic Chemistry top 1%
- Carbohydrate Chemistry and Synthesis
Papers in
-
- Glycosylation and Glycoproteins Research 30
- CRISPR and Genetic Engineering 9
- Enzyme Catalysis and Immobilization 7
-
- Carbohydrate Chemistry and Synthesis 42
- Co-authors
- G.J. Davies (35 shared papers)David J. Vocadlo (15 shared papers)Bernard Henrissat (4 shared papers)Wesley F. Zandberg (5 shared papers)David L. Shen (2 shared papers)J.P. Turkenburg (7 shared papers)Harry J. Gilbert (8 shared papers)Robert V. Stick (5 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Biochemistry (5 papers)Nature Communications (4 papers)ChemBioChem (4 papers)Nucleic Acids Research (4 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
T.M. Gloster
69 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 109
- Biotechnology 1.2k
- Organic Chemistry 1.9k
- Molecular Biology 3.0k
- Immunology 522
- Nutrition and Dietetics 359
Countries citing papers authored by T.M. Gloster
This map shows the geographic impact of T.M. Gloster'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 T.M. Gloster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.M. Gloster more than expected).
Fields of papers citing papers by T.M. Gloster
This network shows the impact of papers produced by T.M. Gloster. 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 T.M. Gloster. The network helps show where T.M. Gloster may publish in the future.
Co-authors
The 25 scholars most cited alongside T.M. Gloster, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 275 | |
| 2 | 2005 | 252 | |
| 3 | 2009 | 213 | |
| 4 | 2012 | 167 | |
| 5 | 2004 | 162 | |
| 6 | 2003 | 157 | |
| 7 | 2020 | 143 | |
| 8 | 2014 | 132 | |
| 9 | 2012 | 129 | |
| 10 | 2007 | 122 | |
| 11 | 2007 | 112 | |
| 12 | 2012 | 107 | |
| 13 | 2009 | 102 | |
| 14 | 2006 | 102 | |
| 15 | 2012 | 98 | |
| 16 | 2007 | 96 | |
| 17 | 2020 | 94 | |
| 18 | 2009 | 85 | |
| 19 | 2008 | 85 | |
| 20 | 2004 | 82 |
About T.M. Gloster
T.M. Gloster is a scholar working on Molecular Biology, Organic Chemistry, Biotechnology, Immunology and Biomedical Engineering, having authored 73 papers that have together received 4.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (42 papers), Glycosylation and Glycoproteins Research (30 papers), Enzyme Production and Characterization (24 papers), Galectins and Cancer Biology (10 papers), CRISPR and Genetic Engineering (9 papers), Biofuel production and bioconversion (8 papers), Enzyme Catalysis and Immobilization (7 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Biotechnology (1.2k citations), Organic Chemistry (1.9k citations), Molecular Biology (3.0k citations), Immunology (522 citations) and Nutrition and Dietetics (359 citations). T.M. Gloster has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include G.J. Davies, David J. Vocadlo, Bernard Henrissat, Wesley F. Zandberg, David L. Shen, J.P. Turkenburg, Harry J. Gilbert, Robert V. Stick, S.M. Roberts and Malcolm F. White. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Nature Communications, ChemBioChem and Nucleic Acids Research.
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.