Vanessa Pitz

408 citations
11 papers · 213 · h-index 8

Impact in

    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Nuclear Receptors and Signaling
    • Neuroscience and Neuropharmacology Research

Papers in

Vanessa Pitz

10 papers receiving 210 citations

Peers

Vanessa Pitz
Comparison fields: 5 of 50
  • Neurology 94
  • Cellular and Molecular Neuroscience 49
  • Neurology 21
  • Physiology 34
  • Biological Psychiatry 3
Replace Ashwin Ashok Kumar Sreelatha with:
Ashwin Ashok Kumar Sreelatha Germany
Safa Salim Qatar
Christina E. Khodr United States
Roubina Ch. Antonelou Greece
Ignacio Juan Keller Sarmiento United States
Xavier Sánchez‐Sáez Spain
Marine Chazalon France
Bashayer Al Mubarak United Kingdom
Brian A. Warmus United States
Lauren Ruffrage United States
Vanessa Pitz relative to Ashwin Ashok Kumar Sreelatha Germany Ashwin Ashok Kumar Sreelatha's profile →
Citations per field
00.5×1.5×
Ashwin Ashok Kumar Sreelatha · 1×
Citations per year

Countries citing papers authored by Vanessa Pitz

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Pitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202245
2 202329
3 202328
4 201925
5 202423
6 202321
7 202314
8 201913
9 20238
10 20217
11 20260

About Vanessa Pitz

Vanessa Pitz is a scholar working on Neurology, Cellular and Molecular Neuroscience, Sensory Systems, Physiology and Neurology, having authored 11 papers that have together received 213 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Lysosomal Storage Disorders Research (2 papers), CRISPR and Genetic Engineering (1 paper), Cannabis and Cannabinoid Research (1 paper), Olfactory and Sensory Function Studies (1 paper), Pluripotent Stem Cells Research (1 paper), Insect and Arachnid Ecology and Behavior (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (94 citations), Cellular and Molecular Neuroscience (49 citations), Neurology (21 citations), Physiology (34 citations) and Biological Psychiatry (3 citations). Vanessa Pitz has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Naveed Malek, Donald G. Grosset, Katherine A. Grosset, Yoav Ben‐Shlomo, Michael Andrew Lawton, Huw Morris, Roger Alistair Barker, Nigel M. Williams, David John Burn and Nin P.S. Bajaj. Their work appears in journals such as Nature Communications, Brain and Behavior, Parkinsonism & Related Disorders, Cell Genomics and The Journal of Comparative Neurology.

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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