Tom Granström
Impact in
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- Diet, Metabolism, and Disease
- Biomedical Engineering top 2%
- Biofuel production and bioconversion
- Catalysis for Biomass Conversion
Papers in
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- Biofuel production and bioconversion 31
- Catalysis for Biomass Conversion 6
- Lignin and Wood Chemistry 4
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- Microbial Metabolic Engineering and Bioproduction 21
- Enzyme Catalysis and Immobilization 11
- Co-authors
- Ken Izumori (13 shared papers)Shrikant A. Survase (20 shared papers)Matti Leisola (10 shared papers)Goro Takata (6 shared papers)Sandip B. Bankar (12 shared papers)Masaaki Tokuda (3 shared papers)Adriaan van Heiningen (10 shared papers)Heikki Ojamo (11 shared papers)
In The Last Decade
Tom Granström
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 668
- Biomedical Engineering 1.2k
- Nutrition and Dietetics 232
- Biotechnology 134
- Molecular Biology 1.0k
Countries citing papers authored by Tom Granström
This map shows the geographic impact of Tom Granström'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 Tom Granström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Granström more than expected).
Fields of papers citing papers by Tom Granström
This network shows the impact of papers produced by Tom Granström. 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 Tom Granström. The network helps show where Tom Granström may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Granström, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 318 | |
| 2 | 2007 | 155 | |
| 3 | 2013 | 137 | |
| 4 | 2007 | 106 | |
| 5 | 2011 | 101 | |
| 6 | 2012 | 91 | |
| 7 | 2011 | 83 | |
| 8 | 2004 | 72 | |
| 9 | 2011 | 65 | |
| 10 | 2006 | 64 | |
| 11 | 2011 | 55 | |
| 12 | 2006 | 46 | |
| 13 | 2005 | 46 | |
| 14 | 2007 | 44 | |
| 15 | 2009 | 44 | |
| 16 | 2014 | 40 | |
| 17 | 2001 | 38 | |
| 18 | 2013 | 36 | |
| 19 | 2012 | 34 | |
| 20 | 2006 | 33 |
About Tom Granström
Tom Granström is a scholar working on Biomedical Engineering, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Nutrition and Dietetics, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (31 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), Diet, Metabolism, and Disease (14 papers), Enzyme Catalysis and Immobilization (11 papers), Pancreatic function and diabetes (7 papers), Catalysis for Biomass Conversion (6 papers), Lignin and Wood Chemistry (4 papers) and Microbial Metabolites in Food Biotechnology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (668 citations), Biomedical Engineering (1.2k citations), Nutrition and Dietetics (232 citations), Biotechnology (134 citations) and Molecular Biology (1.0k citations). Tom Granström has collaborated with scholars based in Finland, Japan and India. Frequent co-authors include Ken Izumori, Shrikant A. Survase, Matti Leisola, Goro Takata, Sandip B. Bankar, Masaaki Tokuda, Adriaan van Heiningen, Heikki Ojamo, German Jurgens and Kenji Morimoto. Their work appears in journals such as Applied Microbiology and Biotechnology, Bioresource Technology, Biotechnology Letters, Enzyme and Microbial Technology and RSC Advances.
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.