Anisa Scott

744 citations
8 papers · 383 · h-index 7

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Anisa Scott

8 papers receiving 371 citations

Peers

Anisa Scott
Comparison fields: 5 of 64
  • Cell Biology 88
  • Neurology 80
  • Molecular Biology 276
  • Computational Theory and Mathematics 51
  • Physical and Theoretical Chemistry 22
Replace S.M. Sullivan with:
S.M. Sullivan United States
Mads Nygaard Denmark
Roland G. Heym Germany
Jampani Nageswara Rao United States
Julien Giustiniani France
Karthikeyan Annamalai Germany
James G. Moe United States
Filippo Favretto Italy
Claudia Capitini Italy
Hamed Shaykhalishahi Germany
Anisa Scott relative to S.M. Sullivan United States S.M. Sullivan's profile →
Citations per field
00.5×3.1×
S.M. Sullivan · 1×
Citations per year

Countries citing papers authored by Anisa Scott

Since Specialization
Citations

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

Fields of papers citing papers by Anisa Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009152
2 2008144
3 200623
4 199521
5 200919
6 200115
7 20066
8 20103

About Anisa Scott

Anisa Scott is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cell Biology, Organic Chemistry and Small Animals, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Heat shock proteins research (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Protein Degradation and Inhibitors (1 paper), Fungal Plant Pathogen Control (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Melanoma and MAPK Pathways (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Cell Biology (88 citations), Neurology (80 citations), Molecular Biology (276 citations), Computational Theory and Mathematics (51 citations) and Physical and Theoretical Chemistry (22 citations). Anisa Scott has collaborated with scholars based in United States. Frequent co-authors include Paul M. Steed, Melanie A Rehder Silinski, James M. Veal, Preeti Putcha, Pamela J. McLean, Carol Hicks, Karin M. Danzer, Bradley T. Hyman, Steven E. Hall and Ayana Sawai. Their work appears in journals such as Journal of Biological Chemistry, Assay and Drug Development Technologies, Clinical Cancer Research, Journal of Pharmacology and Experimental Therapeutics and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.

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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