Michael Schaab

17 papers receiving 631 citations

Peers

Michael Schaab
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 96
  • Behavioral Neuroscience 45
  • Reproductive Medicine 106
  • Endocrinology, Diabetes and Metabolism 120
  • Epidemiology 143
Replace Carlos Eduardo Martinelli with:
Carlos Eduardo Martinelli Brazil
Julie Islam United States
Z. Hochberg Israel
WF Blum Germany
Barbara Wolters Germany
Maurizio Capelli Italy
Bogda Skowrońska Poland
Elisabeth Mathieu France
Lorenza Gagliardi Italy
Camilla A M Glad Sweden
Michael Schaab relative to Carlos Eduardo Martinelli Brazil Carlos Eduardo Martinelli's profile →
Citations per field
00.5×2×2.9×
Carlos Eduardo Martinelli · 1×
Citations per year

Countries citing papers authored by Michael Schaab

Since Specialization
Citations

This map shows the geographic impact of Michael Schaab'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 Michael Schaab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schaab more than expected).

Fields of papers citing papers by Michael Schaab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Schaab. 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 Michael Schaab. The network helps show where Michael Schaab may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Schaab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Schaab Line = papers co-authored together Michael Schaab links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2007141
2 201390
3 201580
4 201256
5 201551
6 201548
7 201840
8 201531
9 201628
10 201120
11 201620
12 201913
13 20147
14 20135
15 20235
16 20174
17 20131
18 20250

About Michael Schaab

Michael Schaab is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Behavioral Neuroscience and Epidemiology, having authored 18 papers that have together received 640 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Regulation of Appetite and Obesity (4 papers), Sperm and Testicular Function (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Stress Responses and Cortisol (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Cancer Risks and Factors (1 paper) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (96 citations), Behavioral Neuroscience (45 citations), Reproductive Medicine (106 citations), Endocrinology, Diabetes and Metabolism (120 citations) and Epidemiology (143 citations). Michael Schaab has collaborated with scholars based in Germany, Denmark and Italy. Frequent co-authors include Jüergen Kratzsch, Wieland Kiess, Joachim Thiery, Jürgen Kratzsch, Antje Körner, Ruth Gausche, Sandra Erbs, Yoon Ju Bae, Sonja Grunewald and Uwe Paasch. Their work appears in journals such as Recent results in cancer research, Clinical Chemistry and Laboratory Medicine (CCLM), Best Practice & Research Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Journal of Neural Transmission.

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.

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