Vera Sterlemann

19 papers receiving 908 citations

Peers

Vera Sterlemann
Comparison fields: 5 of 77
  • Behavioral Neuroscience 622
  • Biological Psychiatry 267
  • Social Psychology 374
  • Developmental Neuroscience 47
  • Endocrine and Autonomic Systems 70
Replace Daniela Harbich with:
Daniela Harbich Germany
K. Ganea Germany
Marc Fluttert Netherlands
Sarah E. Baran United States
Ryan L. Wright United States
Xavier Belda Spain
Jessica A. Babb United States
C.A. Lowry United Kingdom
Eberhard Fuchs Germany
Sergiu Dalm Netherlands
Vera Sterlemann relative to Daniela Harbich Germany Daniela Harbich's profile →
Citations per field
00.5×1.5×
Daniela Harbich · 1×
Citations per year

Countries citing papers authored by Vera Sterlemann

Since Specialization
Citations

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

Fields of papers citing papers by Vera Sterlemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vera Sterlemann, 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 Vera Sterlemann Line = papers co-authored together Vera Sterlemann links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2007155
2 2007145
3 2009126
4 200984
5 200881
6 200679
7 200962
8 200833
9 200931
10 200730
11 201227
12 200820
13 201318
14 200714
15 202212
16 20224
17 20251
18 20081
19 20071

About Vera Sterlemann

Vera Sterlemann is a scholar working on Behavioral Neuroscience, Social Psychology, Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 19 papers that have together received 924 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (15 papers), Neuroendocrine regulation and behavior (9 papers), Tryptophan and brain disorders (6 papers), Adipose Tissue and Metabolism (4 papers), Adrenal Hormones and Disorders (3 papers), Hormonal Regulation and Hypertension (3 papers), Neurobiology and Insect Physiology Research (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Behavioral Neuroscience (622 citations), Biological Psychiatry (267 citations), Social Psychology (374 citations), Developmental Neuroscience (47 citations) and Endocrine and Autonomic Systems (70 citations). Vera Sterlemann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Mathias V. Schmidt, Marianne B. Müller, K. Ganea, Claudia Liebl, Daniela Harbich, Martin Greetfeld, Gerhard Rammes, Miriam Wolf, Manfred Uhr and Sebastian H. Scharf. Their work appears in journals such as Psychoneuroendocrinology, Journal of Neuroendocrinology, Journal of Experimental Biology, Stress and European Neuropsychopharmacology.

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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