T. Nyman
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Physiology top 5%
Papers in
-
- Biochemical and Molecular Research 9
- RNA modifications and cancer 4
- ATP Synthase and ATPases Research 3
- RNA and protein synthesis mechanisms 3
- Protein Kinase Regulation and GTPase Signaling 2
- Muscle Physiology and Disorders 2
-
- Enzyme Structure and Function 6
- Co-authors
- P. Nordlund (16 shared papers)S. Flodin (15 shared papers)Pål Stenmark (9 shared papers)Uno Lindberg (4 shared papers)M. Hammarstrom (6 shared papers)Ida Johansson (5 shared papers)L. Tresaugues (10 shared papers)M. Welin (9 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)Journal of Molecular Biology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
T. Nyman
30 papers receiving 958 citations
Peers
Comparison fields: 5 of 86
- Endocrinology 61
- Physiology 53
- Immunology 223
- Cell Biology 156
- Microbiology 47
Countries citing papers authored by T. Nyman
This map shows the geographic impact of T. Nyman'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. Nyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nyman more than expected).
Fields of papers citing papers by T. Nyman
This network shows the impact of papers produced by T. Nyman. 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. Nyman. The network helps show where T. Nyman may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Nyman, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 170 | |
| 2 | 2001 | 98 | |
| 3 | 2002 | 75 | |
| 4 | 2008 | 62 | |
| 5 | 2006 | 57 | |
| 6 | 2007 | 56 | |
| 7 | 2014 | 42 | |
| 8 | 2021 | 42 | |
| 9 | 2010 | 34 | |
| 10 | 2013 | 30 | |
| 11 | 2016 | 28 | |
| 12 | 2002 | 28 | |
| 13 | 2000 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2013 | 17 | |
| 19 | 2008 | 16 | |
| 20 | 2006 | 16 |
About T. Nyman
T. Nyman is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Infectious Diseases and Biomedical Engineering, having authored 31 papers that have together received 961 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (9 papers), Enzyme Structure and Function (6 papers), RNA modifications and cancer (4 papers), ATP Synthase and ATPases Research (3 papers), Cellular Mechanics and Interactions (3 papers), RNA and protein synthesis mechanisms (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Endocrinology (61 citations), Physiology (53 citations), Immunology (223 citations), Cell Biology (156 citations) and Microbiology (47 citations). T. Nyman has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include P. Nordlund, S. Flodin, Pål Stenmark, Uno Lindberg, M. Hammarstrom, Ida Johansson, L. Tresaugues, M. Welin, S. Gräslund and T. Kotenyova. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, PLoS ONE, Journal of Molecular Biology and Proteins Structure Function and Bioinformatics.
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.