Simone Molz

632 citations
19 papers · 537 · h-index 13

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Alzheimer's disease research and treatments
    • Tryptophan and brain disorders

Papers in

Simone Molz

18 papers receiving 534 citations

Peers

Simone Molz
Comparison fields: 5 of 82
  • Physiology 110
  • Biological Psychiatry 52
  • Developmental Neuroscience 43
  • Neurology 87
  • Cellular and Molecular Neuroscience 193
Replace Luiz Fernando Almeida Silva with:
Luiz Fernando Almeida Silva Brazil
Anna Dziubina Poland
Tetsade Piermartiri Brazil
Anna Wilkaniec Poland
Sue O. Yu United States
Samanta Oliveira Loureiro Brazil
Susanna Alloisio Italy
Fabiana Kalyne Ludka Brazil
Jiz‐Yuh Wang Taiwan
Yannick Marchalant United States
Simone Molz relative to Luiz Fernando Almeida Silva Brazil Luiz Fernando Almeida Silva's profile →
Citations per field
00.5×1.5×2×2.5×
Luiz Fernando Almeida Silva · 1×
Citations per year

Countries citing papers authored by Simone Molz

Since Specialization
Citations

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

Fields of papers citing papers by Simone Molz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012104
2 200785
3 201172
4 200239
5 200538
6 201635
7 200829
8 201128
9 200922
10 201618
11 201416
12 201514
13 201714
14 201410
15 20165
16 20134
17 20172
18
[Uric acid production in the human liver during parenteral fructose administration].
19742
19 20150

About Simone Molz

Simone Molz is a scholar working on Cellular and Molecular Neuroscience, Physiology, Complementary and alternative medicine, Neurology and Forestry, having authored 19 papers that have together received 537 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Adenosine and Purinergic Signaling (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Ion channel regulation and function (2 papers), Mitochondrial Function and Pathology (2 papers), Agricultural and Food Sciences (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Physiology (110 citations), Biological Psychiatry (52 citations), Developmental Neuroscience (43 citations), Neurology (87 citations) and Cellular and Molecular Neuroscience (193 citations). Simone Molz has collaborated with scholars based in Brazil and Spain. Frequent co-authors include Carla I. Tasca, Tharine A. Dal-Cim, Helena Decker, Manuela Garcia Lopez, Javier Egea, Alejandro Romero, Josiane Budni, María Dolores Martin‐de‐Saavedra, Laura del Barrio and Diogo Onofre Souza. Their work appears in journals such as Neurochemical Research, Brain Research, Journal of Pharmacy and Pharmacology, Neuroscience and Revista Brasileira de Farmacognosia.

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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