Malin Levin
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
-
- Diet, Metabolism, and Disease
Papers in
-
- Sphingolipid Metabolism and Signaling 4
- Peroxisome Proliferator-Activated Receptors 4
- Angiogenesis and VEGF in Cancer 4
- Receptor Mechanisms and Signaling 3
- Surgery 11
- Pancreatic function and diabetes 5
- Co-authors
- Robert V. Farese (5 shared papers)Jan Borén (41 shared papers)Scot J. Stone (2 shared papers)Marja‐Riitta Taskinen (3 shared papers)Ping Zhou (2 shared papers)Tobias C. Walther (1 shared paper)Jiayi Han (1 shared paper)Robert D. Stevens (2 shared papers)
- Journals
- PLoS ONE (6 papers)Scientific Reports (4 papers)Circulation Research (3 papers)Journal of Biological Chemistry (3 papers)Journal of Internal Medicine (2 papers)
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Malin Levin
54 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 107
- Biochemistry 718
- Endocrinology, Diabetes and Metabolism 471
- Physiology 530
- Cell Biology 346
- Epidemiology 651
Countries citing papers authored by Malin Levin
This map shows the geographic impact of Malin Levin'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 Malin Levin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malin Levin more than expected).
Fields of papers citing papers by Malin Levin
This network shows the impact of papers produced by Malin Levin. 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 Malin Levin. The network helps show where Malin Levin may publish in the future.
Co-authors
The 25 scholars most cited alongside Malin Levin, 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 | 2007 | 421 | |
| 2 | 2008 | 329 | |
| 3 | 2012 | 217 | |
| 4 | 2013 | 183 | |
| 5 | 2006 | 176 | |
| 6 | 2002 | 172 | |
| 7 | 2009 | 113 | |
| 8 | 2005 | 92 | |
| 9 | 2007 | 82 | |
| 10 | 2007 | 76 | |
| 11 | 2008 | 66 | |
| 12 | 2014 | 50 | |
| 13 | 2018 | 46 | |
| 14 | 2019 | 43 | |
| 15 | 2016 | 42 | |
| 16 | 2012 | 42 | |
| 17 | 2014 | 35 | |
| 18 | 2020 | 35 | |
| 19 | 2017 | 35 | |
| 20 | 2011 | 34 |
About Malin Levin
Malin Levin is a scholar working on Molecular Biology, Surgery, Biochemistry, Physiology and Immunology, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (11 papers), Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Biochemistry (718 citations), Endocrinology, Diabetes and Metabolism (471 citations), Physiology (530 citations), Cell Biology (346 citations) and Epidemiology (651 citations). Malin Levin has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Robert V. Farese, Jan Borén, Scot J. Stone, Marja‐Riitta Taskinen, Ping Zhou, Tobias C. Walther, Jiayi Han, Robert D. Stevens, Christopher B. Newgard and Matthew J. Watt. Their work appears in journals such as PLoS ONE, Scientific Reports, Circulation Research, Journal of Biological Chemistry and Journal of Internal Medicine.
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.