Thomas Maskow
Impact in
- Physical and Theoretical Chemistry top 0.5%
- thermodynamics and calorimetric analyses
- Filtration and Separation top 2%
Papers in
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- thermodynamics and calorimetric analyses 65
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- Microbial Metabolic Engineering and Bioproduction 25
- Viral Infectious Diseases and Gene Expression in Insects 12
- Bacterial biofilms and quorum sensing 10
- Co-authors
- Hauke Harms (42 shared papers)Urs von Stockar (5 shared papers)W. Babel (7 shared papers)J. Lerchner (11 shared papers)Torsten Schubert (6 shared papers)Friederike Buchholz (11 shared papers)Rodrigo Patiño (2 shared papers)Jingsong Liu (2 shared papers)
In The Last Decade
Thomas Maskow
97 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Physical and Theoretical Chemistry 788
- Filtration and Separation 98
- Pollution 275
- Molecular Biology 812
- Infectious Diseases 181
Countries citing papers authored by Thomas Maskow
This map shows the geographic impact of Thomas Maskow'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 Thomas Maskow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Maskow more than expected).
Fields of papers citing papers by Thomas Maskow
This network shows the impact of papers produced by Thomas Maskow. 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 Thomas Maskow. The network helps show where Thomas Maskow may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Maskow, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 151 | |
| 2 | 2007 | 76 | |
| 3 | 2004 | 76 | |
| 4 | 2005 | 67 | |
| 5 | 2021 | 60 | |
| 6 | 2007 | 58 | |
| 7 | 2008 | 57 | |
| 8 | 2007 | 52 | |
| 9 | 2009 | 47 | |
| 10 | 2009 | 46 | |
| 11 | 2014 | 45 | |
| 12 | 2005 | 39 | |
| 13 | 2006 | 35 | |
| 14 | 2007 | 34 | |
| 15 | 2014 | 33 | |
| 16 | 2014 | 32 | |
| 17 | 2001 | 32 | |
| 18 | 2008 | 32 | |
| 19 | 2000 | 30 | |
| 20 | 2009 | 29 |
About Thomas Maskow
Thomas Maskow is a scholar working on Physical and Theoretical Chemistry, Molecular Biology, Pollution, Biomedical Engineering and Materials Chemistry, having authored 101 papers that have together received 1.9k indexed citations. Recurring topics across this work include thermodynamics and calorimetric analyses (65 papers), Microbial Metabolic Engineering and Bioproduction (25 papers), Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Bacterial biofilms and quorum sensing (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Soil Carbon and Nitrogen Dynamics (8 papers) and Field-Flow Fractionation Techniques (7 papers). The work is most often cited by research in Physical and Theoretical Chemistry (788 citations), Filtration and Separation (98 citations), Pollution (275 citations), Molecular Biology (812 citations) and Infectious Diseases (181 citations). Thomas Maskow has collaborated with scholars based in Germany, China and Hungary. Frequent co-authors include Hauke Harms, Urs von Stockar, W. Babel, J. Lerchner, Torsten Schubert, Friederike Buchholz, Rodrigo Patiño, Jingsong Liu, I. W. Marison and Uta Breuer. Their work appears in journals such as Thermochimica Acta, Engineering in Life Sciences, Journal of Biotechnology, Soil Biology and Biochemistry and Biotechnology and Bioengineering.
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.