Markus Islinger
Impact in
- Physiology top 1%
- Adipose Tissue and Metabolism
- Reproductive biology and impacts on aquatic species
- Biochemistry top 2%
Papers in ⓘ
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- Adipose Tissue and Metabolism 11
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- Metabolism and Genetic Disorders 7
- Co-authors
- Michael Schrader (30 shared papers)Joseph L. Costello (11 shared papers)Alfred Völkl (13 shared papers)H. Dariush Fahimi (4 shared papers)Luís F. Godinho (6 shared papers)Nina A. Bonekamp (6 shared papers)Ka Wan Li (3 shared papers)Thomas Braunbeck (4 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (6 papers)Histochemistry and Cell Biology (5 papers)Electrophoresis (3 papers)Sub-cellular biochemistry (3 papers)PLoS ONE (3 papers)
- Partner nations
- GermanyUnited KingdomPortugal
In The Last Decade
Markus Islinger
56 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 113
- Physiology 261
- Biochemistry 246
- Molecular Biology 2.2k
- Clinical Biochemistry 211
- Cancer Research 297
Countries citing papers authored by Markus Islinger
This map shows the geographic impact of Markus Islinger'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 Markus Islinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Islinger more than expected).
Fields of papers citing papers by Markus Islinger
This network shows the impact of papers produced by Markus Islinger. 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 Markus Islinger. The network helps show where Markus Islinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Islinger, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 235 | |
| 2 | 2017 | 196 | |
| 3 | 2018 | 189 | |
| 4 | 2011 | 146 | |
| 5 | 2015 | 146 | |
| 6 | 2015 | 143 | |
| 7 | 2018 | 119 | |
| 8 | 2015 | 111 | |
| 9 | 2009 | 111 | |
| 10 | 2007 | 103 | |
| 11 | 2002 | 95 | |
| 12 | 2019 | 95 | |
| 13 | 2010 | 94 | |
| 14 | 2017 | 86 | |
| 15 | 1999 | 68 | |
| 16 | 2013 | 67 | |
| 17 | 2017 | 66 | |
| 18 | 2005 | 62 | |
| 19 | 2014 | 56 | |
| 20 | 2010 | 54 |
About Markus Islinger
Markus Islinger is a scholar working on Physiology, Clinical Biochemistry, Biochemistry, Molecular Biology and Cancer Research, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (40 papers), Adipose Tissue and Metabolism (11 papers), Cancer, Hypoxia, and Metabolism (9 papers), RNA modifications and cancer (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Metabolism and Genetic Disorders (7 papers), interferon and immune responses (7 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Physiology (261 citations), Biochemistry (246 citations), Molecular Biology (2.2k citations), Clinical Biochemistry (211 citations) and Cancer Research (297 citations). Markus Islinger has collaborated with scholars based in Germany, United Kingdom and Portugal. Frequent co-authors include Michael Schrader, Joseph L. Costello, Alfred Völkl, H. Dariush Fahimi, Luís F. Godinho, Nina A. Bonekamp, Ka Wan Li, Thomas Braunbeck, Tina A. Schrader and Inês Gomes Castro. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Histochemistry and Cell Biology, Electrophoresis, Sub-cellular biochemistry and PLoS ONE.
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.