Maik Brune
Impact in
-
- Hormonal and reproductive studies
- Hepatology top 10%
- Liver Diseases and Immunity
- Liver Disease and Transplantation
Papers in
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- Hormonal and reproductive studies 6
- Co-authors
- Michael Zitzmann (4 shared papers)Eberhard Nieschlag (3 shared papers)Jörg Gromoll (3 shared papers)Peter P. Nawroth (11 shared papers)Arnold von Eckardstein (1 shared paper)Sigrid von Eckardstein (1 shared paper)Ralf Junker (1 shared paper)Daniel Gotthardt (8 shared papers)
- Journals
- PLoS ONE (4 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Analytical and Bioanalytical Chemistry (1 paper)Circulation Research (1 paper)Respiration (1 paper)
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Maik Brune
45 papers receiving 924 citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 300
- Hepatology 86
- Reproductive Medicine 66
- Cell Biology 83
- Pharmacology 80
Countries citing papers authored by Maik Brune
This map shows the geographic impact of Maik Brune'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 Maik Brune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maik Brune more than expected).
Fields of papers citing papers by Maik Brune
This network shows the impact of papers produced by Maik Brune. 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 Maik Brune. The network helps show where Maik Brune may publish in the future.
Co-authors
The 25 scholars most cited alongside Maik Brune, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 104 | |
| 2 | 2001 | 88 | |
| 3 | 2002 | 68 | |
| 4 | 2020 | 47 | |
| 5 | 2021 | 42 | |
| 6 | 2019 | 42 | |
| 7 | 2018 | 35 | |
| 8 | 2014 | 35 | |
| 9 | 2002 | 32 | |
| 10 | 2022 | 31 | |
| 11 | 2015 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2009 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2017 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2014 | 18 |
About Maik Brune
Maik Brune is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Hepatology and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 961 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Liver Disease and Transplantation (5 papers), Liver Diseases and Immunity (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Diet and metabolism studies (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (300 citations), Hepatology (86 citations), Reproductive Medicine (66 citations), Cell Biology (83 citations) and Pharmacology (80 citations). Maik Brune has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Michael Zitzmann, Eberhard Nieschlag, Jörg Gromoll, Peter P. Nawroth, Arnold von Eckardstein, Sigrid von Eckardstein, Ralf Junker, Daniel Gotthardt, Wolfgang Stremmel and Kilian Friedrich. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Analytical and Bioanalytical Chemistry, Circulation Research and Respiration.
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.