Karin Wallis

16 papers receiving 700 citations

Peers

Karin Wallis
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 322
  • Endocrine and Autonomic Systems 72
  • Developmental Neuroscience 35
  • Cellular and Molecular Neuroscience 151
  • Behavioral Neuroscience 23
Replace Carmen Grijota-Martínez with:
Carmen Grijota-Martínez Spain
Camila Scorticati Argentina
Amrita Pathak United States
Tetsuro Sugisaki Japan
Melissa Moholt-Siebert United States
Domenico Accili United States
S Stone United States
F. Tronche France
Raija Miettinen Finland
Mieczyslaw Michalkiewicz United States
Karin Wallis relative to Carmen Grijota-Martínez Spain Carmen Grijota-Martínez's profile →
Citations per field
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Carmen Grijota-Martínez · 1×
Citations per year

Countries citing papers authored by Karin Wallis

Since Specialization
Citations

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

Fields of papers citing papers by Karin Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010134
2 2010114
3 2008101
4 201273
5 201050
6 201443
7 201141
8 197632
9 200829
10 201625
11 201018
12 200816
13 201714
14 20169
15 20108
16 20102

About Karin Wallis

Karin Wallis is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 709 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (8 papers), Genetics and Neurodevelopmental Disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Regulation of Appetite and Obesity (3 papers), Neuroblastoma Research and Treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Endocrine and Autonomic Systems (72 citations), Developmental Neuroscience (35 citations), Cellular and Molecular Neuroscience (151 citations) and Behavioral Neuroscience (23 citations). Karin Wallis has collaborated with scholars based in Sweden, United States and Singapore. Frequent co-authors include Björn Vennström, Kristina Nordström, Jens Mittag, Max van Hogerlinden, Eliza Joodmardi, Thomas Perlmann, Nikolaos Volakakis, Lia Panman, Jessica M. Silvaggi and Banafsheh Kadkhodaei. Their work appears in journals such as The FASEB Journal, Journal of Neuroscience, Anesthesiology, Journal of Clinical Investigation and Molecular Endocrinology.

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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