Alexander Starr

579 citations
11 papers · 424 · h-index 8

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • RNA regulation and disease 2
    • Amyotrophic Lateral Sclerosis Research 4
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Alexander Starr

9 papers receiving 422 citations

Peers

Alexander Starr
Comparison fields: 5 of 63
  • Neurology 185
  • Genetics 86
  • Cellular and Molecular Neuroscience 103
  • Aging 8
  • Neurology 33
Replace Maximilian Naujock with:
Maximilian Naujock Germany
Judith Eschbach Germany
Gopinath Krishnan United States
Kelby M. Killoy United States
Rachel A.K. Atkinson Australia
Jennifer K. Griffin Canada
Elisavet Preza United Kingdom
Amanda M. Gleixner United States
Rohini Raman United Kingdom
Sahar Sweetat Israel
Alexander Starr relative to Maximilian Naujock Germany Maximilian Naujock's profile →
Citations per field
00.5×1.5×2×2.5×
Maximilian Naujock · 1×
Citations per year

Countries citing papers authored by Alexander Starr

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201989
2 201783
3 199172
4 201859
5 201954
6 201531
7 201828
8 20217
9 20251
10 20240
11 20190

About Alexander Starr

Alexander Starr is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Pharmacology and Virology, having authored 11 papers that have together received 424 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Genetic Neurodegenerative Diseases (2 papers), Cannabis and Cannabinoid Research (2 papers), Tryptophan and brain disorders (2 papers), HIV Research and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA regulation and disease (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Neurology (185 citations), Genetics (86 citations), Cellular and Molecular Neuroscience (103 citations), Aging (8 citations) and Neurology (33 citations). Alexander Starr has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Rita Sattler, Chiye Aoki, T. Kaneko, Virginia M. Pickel, Ileana Lorenzini, Daniela C. Zarnescu, Layla Ghaffari, Andrew T. Nelson, Konrad E. Zinsmaier and Jacob C. Schwartz. Their work appears in journals such as Acta Neuropathologica, Cell Reports, Journal of Neuroimmune Pharmacology, Brain Research and Frontiers in Neuroscience.

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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