Allyson Sholl

632 citations
12 papers · 493 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 6
    • CAR-T cell therapy research 3

Allyson Sholl

12 papers receiving 492 citations

Peers

Allyson Sholl
Comparison fields: 5 of 55
  • Immunology 383
  • Neurology 42
  • Oncology 109
  • Biological Psychiatry 8
  • Virology 13
Replace Nadine Bollig with:
Nadine Bollig Germany
Yukihisa Sawa Japan
Kirsty Nicolson United Kingdom
Daniel J. Wikenheiser United States
Kitty P. Cheung United States
Francisco Victorino United States
Sarah E. Blink United States
Songhai Gu Germany
Erica Wynne-Jones Australia
Michelle Ratliff United States
Allyson Sholl relative to Nadine Bollig Germany Nadine Bollig's profile →
Citations per field
00.5×1.5×2.4×
Nadine Bollig · 1×
Citations per year

Countries citing papers authored by Allyson Sholl

Since Specialization
Citations

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

Fields of papers citing papers by Allyson Sholl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010113
2 201090
3 201173
4 201351
5 201740
6 201334
7 200933
8 201620
9 201919
10 201413
11 20115
12 20112

About Allyson Sholl

Allyson Sholl is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Cancer Research, having authored 12 papers that have together received 493 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (3 papers), NF-κB Signaling Pathways (2 papers), Signaling Pathways in Disease (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Immunology (383 citations), Neurology (42 citations), Oncology (109 citations), Biological Psychiatry (8 citations) and Virology (13 citations). Allyson Sholl has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include David A. Hildeman, Pulak Tripathi, Jana Raynor, Claire Chougnet, Sema Kurtuluş, David R. Plas, H. Leighton Grimes, Pamela J. Fink, Celine S. Lages and Fred D. Finkelman. Their work appears in journals such as The Journal of Immunology, Molecular Therapy, PLoS Pathogens, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

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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