M. Weise
Impact in
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- Gestational Diabetes Research and Management
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- Metabolomics and Mass Spectrometry Studies
Papers in
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- Gestational Diabetes Research and Management 2
- Genetics 3
- Diabetes and associated disorders 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- Andreas Lechner (8 shared papers)Jochen Seißler (5 shared papers)Uta Ferrari (4 shared papers)Harald Grallert (3 shared papers)Friederike Banning (3 shared papers)Marina Fugmann (3 shared papers)Jerzy Adamski (2 shared papers)Simone Wahl (2 shared papers)
- Journals
- Hormone and Metabolic Research (1 paper)Experimental Diabetes Research (1 paper)PLoS ONE (1 paper)Theriogenology (1 paper)BMC Developmental Biology (1 paper)
- Partner nations
- GermanyBelarusUnited Kingdom
In The Last Decade
M. Weise
12 papers receiving 400 citations
Peers
Comparison fields: 5 of 73
- Obstetrics and Gynecology 32
- Molecular Biology 207
- Physiology 71
- Clinical Biochemistry 17
- Endocrine and Autonomic Systems 15
Countries citing papers authored by M. Weise
This map shows the geographic impact of M. Weise'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 M. Weise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Weise more than expected).
Fields of papers citing papers by M. Weise
This network shows the impact of papers produced by M. Weise. 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 M. Weise. The network helps show where M. Weise may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Weise, 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 | 2014 | 205 | |
| 2 | 2015 | 42 | |
| 3 | 2011 | 38 | |
| 4 | Interleukin 6 as early mediator in neonatal sepsis. | 1992 | 35 |
| 5 | 2010 | 21 | |
| 6 | 2015 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 1993 | 16 | |
| 9 | 2010 | 12 | |
| 10 | 2012 | 5 | |
| 11 | 2008 | 5 | |
| 12 | 1993 | 5 |
About M. Weise
M. Weise is a scholar working on Obstetrics and Gynecology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Endocrine and Autonomic Systems, having authored 12 papers that have together received 420 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (2 papers), Gestational Diabetes Research and Management (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Milk Quality and Mastitis in Dairy Cows (1 paper), Neonatal and Maternal Infections (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (32 citations), Molecular Biology (207 citations), Physiology (71 citations), Clinical Biochemistry (17 citations) and Endocrine and Autonomic Systems (15 citations). M. Weise has collaborated with scholars based in Germany, Belarus and United Kingdom. Frequent co-authors include Andreas Lechner, Jochen Seißler, Uta Ferrari, Harald Grallert, Friederike Banning, Marina Fugmann, Jerzy Adamski, Simone Wahl, Michaela Breier and Cornelia Prehn. Their work appears in journals such as Hormone and Metabolic Research, Experimental Diabetes Research, PLoS ONE, Theriogenology and BMC Developmental Biology.
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.