Simon Heß

25 papers receiving 1.9k citations

Simon Heß's Hit Papers

The fat mass and obesity associated gene (Fto) regulates activity of the dopaminergic midbrain circuitry 2013 · 462 citations
4620+4+8Years since publication100200300400

Peers

Simon Heß
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 622
  • Aging 20
  • Pediatrics, Perinatology and Child Health 150
  • Cellular and Molecular Neuroscience 165
  • Molecular Biology 575
Replace Lars Paeger with:
Lars Paeger Germany
Elena A. Rybnikova Russia
Rita Machaalani Australia
Brigitte Hampel Germany
Rebecca L. Leshan United States
Harveen Dhillon United States
Ruifeng Cao United States
Thomas McMahon United States
Marco Koch Germany
Simon Heß relative to Lars Paeger Germany Lars Paeger's profile →
Citations per field
00.5×1.5×2×2.5×
Lars Paeger · 1×
Citations per year

Countries citing papers authored by Simon Heß

Since Specialization
Citations

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

Fields of papers citing papers by Simon Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The fat mass and obesity associated gene (Fto) regulates activity of the dopaminergic midbrain circuitry
Hit paper breakdown →
2013462
2 2014295
3 2011206
4 2009158
5 2011155
6 201772
7 201969
8 201656
9 201752
10 201250
11 201344
12 201843
13 201938
14 202237
15 202133
16 201324
17 201916
18 202316
19 200715
20 201315

About Simon Heß

Simon Heß is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Developmental Neuroscience, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (9 papers), Ion channel regulation and function (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Mitochondrial Function and Pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pluripotent Stem Cells Research (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (622 citations), Aging (20 citations), Pediatrics, Perinatology and Child Health (150 citations), Cellular and Molecular Neuroscience (165 citations) and Molecular Biology (575 citations). Simon Heß has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Peter Kloppenburg, Jens C. Brüning, Tamás L. Horváth, Brigitte Hampel, Linda A. W. Verhagen, Lars Paeger, Hella S. Brönneke, Bengt‐Frederik Belgardt, Andreas Husch and Anne Christine Hausen. Their work appears in journals such as Nature Communications, Cell Reports, Cell Metabolism, Journal of Neuroscience and eLife.

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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