Markus Eszlinger
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
-
- Regulation of Appetite and Obesity
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 64
- Thyroid Disorders and Treatments 16
-
- Gene expression and cancer classification 5
- Co-authors
- Ralf Paschke (70 shared papers)Susanne Neumann (6 shared papers)Mathias Faßhauer (4 shared papers)Johannes Klein (4 shared papers)Knut Krohn (24 shared papers)Carolina Ferraz (6 shared papers)Barbara Jarząb (10 shared papers)Dagmar Führer (10 shared papers)
In The Last Decade
Markus Eszlinger
94 papers receiving 3.3k citations
Markus Eszlinger's Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 1.6k
- Endocrine and Autonomic Systems 264
- Epidemiology 833
- Physiology 551
- Cancer Research 274
Countries citing papers authored by Markus Eszlinger
This map shows the geographic impact of Markus Eszlinger'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 Eszlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Eszlinger more than expected).
Fields of papers citing papers by Markus Eszlinger
This network shows the impact of papers produced by Markus Eszlinger. 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 Eszlinger. The network helps show where Markus Eszlinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Eszlinger, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hormonal Regulation of Adiponectin Gene Expression in 3T3-L1 Adipocytes Hit paper breakdown → | 2002 | 542 |
| 2 | 2001 | 229 | |
| 3 | 2004 | 196 | |
| 4 | 2001 | 116 | |
| 5 | 2011 | 112 | |
| 6 | 2010 | 103 | |
| 7 | 2015 | 94 | |
| 8 | 2013 | 81 | |
| 9 | 2010 | 81 | |
| 10 | 2015 | 81 | |
| 11 | 2016 | 74 | |
| 12 | 2001 | 74 | |
| 13 | 2014 | 68 | |
| 14 | 2015 | 63 | |
| 15 | 2009 | 63 | |
| 16 | 2007 | 62 | |
| 17 | 2014 | 62 | |
| 18 | 2016 | 62 | |
| 19 | 2015 | 55 | |
| 20 | 2015 | 50 |
About Markus Eszlinger
Markus Eszlinger is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Epidemiology, having authored 99 papers that have together received 3.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (64 papers), Thyroid Disorders and Treatments (16 papers), BRCA gene mutations in cancer (8 papers), Gene expression and cancer classification (5 papers), MicroRNA in disease regulation (5 papers), Genetic factors in colorectal cancer (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Endocrine and Autonomic Systems (264 citations), Epidemiology (833 citations), Physiology (551 citations) and Cancer Research (274 citations). Markus Eszlinger has collaborated with scholars based in Germany, Canada and Poland. Frequent co-authors include Ralf Paschke, Susanne Neumann, Mathias Faßhauer, Johannes Klein, Knut Krohn, Carolina Ferraz, Barbara Jarząb, Dagmar Führer, Dagmar Führer‐Sakel and Tomasz Stokowy. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, European Thyroid Journal and Experimental and Clinical Endocrinology & Diabetes.
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.