V.A. Jackson

473 citations
7 papers · 320 · h-index 7

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Receptor Mechanisms and Signaling 3
    • Protein Structure and Dynamics 2
    • Signaling Pathways in Disease 1
    • RNA and protein synthesis mechanisms 1
    • Wnt/β-catenin signaling in development and cancer 1

V.A. Jackson

7 papers receiving 319 citations

Peers

V.A. Jackson
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 147
  • Immunology and Allergy 29
  • Developmental Neuroscience 19
  • Structural Biology 6
  • Aging 6
Replace Madeline M. Farley with:
Madeline M. Farley United States
Callista B. Harper Australia
Joel Wellbourne-Wood Switzerland
Andrew Taibi United States
Seetha Mannepalli United States
Dennis Koch Germany
Lukas Schwintzer Germany
Elizabeth A Holleran United States
Madeleine Kyrke‐Smith New Zealand
V.A. Jackson relative to Madeline M. Farley United States Madeline M. Farley's profile →
Citations per field
00.5×5.8×
Madeline M. Farley · 1×
Citations per year

Countries citing papers authored by V.A. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by V.A. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.A. Jackson. 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 V.A. Jackson. The network helps show where V.A. Jackson may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202083
2 201674
3 201560
4 201852
5 201632
6 201910
7 20229

About V.A. Jackson

V.A. Jackson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Spectroscopy, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Protein Structure and Dynamics (2 papers), Signaling Pathways in Disease (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), RNA and protein synthesis mechanisms (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (147 citations), Immunology and Allergy (29 citations), Developmental Neuroscience (19 citations), Structural Biology (6 citations) and Aging (6 citations). V.A. Jackson has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Elena Seiradake, Daniel del Toro, Rüdiger Klein, Pietro Roversi, E.D. Lowe, Matthieu Chavent, E. Yvonne Jones, Karl Harlos, B.J.C. Janssen and Yuguang Zhao. Their work appears in journals such as Structure, Nature Communications, Cell 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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