Michael Schaab

17 papers receiving 613 citations

Peers

Michael Schaab
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 149
  • Behavioral Neuroscience 41
  • Endocrinology, Diabetes and Metabolism 132
  • Reproductive Medicine 53
  • Physiology 123
Replace Emanuele Miraglia del Giudice with:
Emanuele Miraglia del Giudice Italy
C.M. Champagne United States
R Flamia Italy
S.-L. Karonen Finland
Mariantonella Tagliaferri Italy
Bekir Sami Uyanık Türkiye
Hana Zamrazilová Czechia
Piotr Soszyński Poland
Stefania Cantobelli Italy
J. Hangaard Denmark
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Citations per field
00.5×2.7×
Emanuele Miraglia del Giudice · 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 2007136
2 201389
3 201579
4 201254
5 201551
6 201548
7 201839
8 201531
9 201628
10 201121
11 201618
12 201913
13 20146
14 20135
15 20174
16 20234
17 20131
18 20250

About Michael Schaab

Michael Schaab is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Lipid metabolism and disorders (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (149 citations), Behavioral Neuroscience (41 citations), Endocrinology, Diabetes and Metabolism (132 citations), Reproductive Medicine (53 citations) and Physiology (123 citations). Michael Schaab has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Jüergen Kratzsch, Wieland Kieß, Joachim Thiery, Jürgen Kratzsch, Yoon Ju Bae, Antje Körner, Ruth Gausche, Sandra Erbs, Sonja Grunewald and Uwe Paasch. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Recent results in cancer research, European Journal of Endocrinology, Journal of Psychiatric Research and PLoS ONE.

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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