Silke Mark
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Growth Hormone and Insulin-like Growth Factors 6
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- Metabolism, Diabetes, and Cancer 3
- Machine Learning in Bioinformatics 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Linda C. Giudice (2 shared papers)Juan C. Irwin (2 shared papers)L.-F. Suen (1 shared paper)Ludger Ständker (6 shared papers)Wolf‐Georg Forssmann (5 shared papers)Thomas Braulke (3 shared papers)Stefan Höning (2 shared papers)Markus Meyer (2 shared papers)
- Journals
- Biochemistry (2 papers)Journal of Chromatography A (2 papers)Journal of Reproductive Immunology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Human Reproduction (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Silke Mark
8 papers receiving 321 citations
Peers
Comparison fields: 5 of 44
- Obstetrics and Gynecology 138
- Endocrinology, Diabetes and Metabolism 122
- Reproductive Medicine 51
- Pediatrics, Perinatology and Child Health 93
- Immunology 88
Countries citing papers authored by Silke Mark
This map shows the geographic impact of Silke Mark'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 Silke Mark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Mark more than expected).
Fields of papers citing papers by Silke Mark
This network shows the impact of papers produced by Silke Mark. 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 Silke Mark. The network helps show where Silke Mark may publish in the future.
Co-authors
The 13 scholars most cited alongside Silke Mark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 133 | |
| 2 | 1998 | 79 | |
| 3 | 2000 | 42 | |
| 4 | 1998 | 31 | |
| 5 | 2005 | 26 | |
| 6 | 1999 | 7 | |
| 7 | 2003 | 6 | |
| 8 | 1999 | 5 |
About Silke Mark
Silke Mark is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 8 papers that have together received 329 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pregnancy and preeclampsia studies (2 papers), Birth, Development, and Health (2 papers), Machine Learning in Bioinformatics (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (138 citations), Endocrinology, Diabetes and Metabolism (122 citations), Reproductive Medicine (51 citations), Pediatrics, Perinatology and Child Health (93 citations) and Immunology (88 citations). Silke Mark has collaborated with scholars based in Germany and United States. Frequent co-authors include Linda C. Giudice, Juan C. Irwin, L.-F. Suen, Ludger Ständker, Wolf‐Georg Forssmann, Thomas Braulke, Stefan Höning, Markus Meyer, Hossein Mostafavi and Guillermo Giménez‐Gallego. Their work appears in journals such as Biochemistry, Journal of Chromatography A, Journal of Reproductive Immunology, Biochemical and Biophysical Research Communications and Human Reproduction.
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.