Martin Kratzmeier
- Molecular Biology
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism
- Physiology top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- A PochCraig A. McArdleDetlef DoeneckeWerner AlbigAmal K. MukhopadhyayPeter LichterAda L. OlinsDonald E. Olins
- Topics
- Genomics and Chromatin Dynamics (5 papers)Biosensors and Analytical Detection (4 papers)Microfluidic and Capillary Electrophoresis Applications (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAnalytical Chemistry
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Martin Kratzmeier
25 papers receiving 640 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 363
- Reproductive Medicine 120
- Endocrinology, Diabetes and Metabolism 90
- Physiology 74
- Cellular and Molecular Neuroscience 54
Countries citing papers authored by Martin Kratzmeier
This map shows the geographic impact of Martin Kratzmeier'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 Martin Kratzmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kratzmeier more than expected).
Fields of papers citing papers by Martin Kratzmeier
This network shows the impact of papers produced by Martin Kratzmeier. 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 Martin Kratzmeier. The network helps show where Martin Kratzmeier may publish in the future.
Co-authorship network of co-authors of Martin Kratzmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kratzmeier. A scholar is included among the top collaborators of Martin Kratzmeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Kratzmeier. Martin Kratzmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 86 | |
| 10 | 48 | |
| 11 | 10 | |
| 12 | 21 | |
| 13 | 16 | |
| 14 | 39 | |
| 15 | 22 | |
| 16 | 31 | |
| 17 | 13 | |
| 18 | 61 | |
| 19 | 56 | |
| 20 | 31 |
About Martin Kratzmeier
Martin Kratzmeier is a scholar working on Physiology, Reproductive Medicine and Molecular Biology, having authored 25 papers that have together received 653 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Biosensors and Analytical Detection (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Physiology (74 citations), Reproductive Medicine (120 citations) and Endocrine and Autonomic Systems (50 citations). Martin Kratzmeier has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include A Poch, Craig A. McArdle, Detlef Doenecke, Werner Albig, Amal K. Mukhopadhyay, Peter Lichter, Ada L. Olins, Donald E. Olins, Harald Herrmann and Stafford L. Lightman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Chemistry.
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.