Shawn Lopez

464 citations
8 papers · 305 · h-index 6

Impact in

    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • CRISPR and Genetic Engineering 4
    • Pluripotent Stem Cells Research 3
    • Single-cell and spatial transcriptomics 2
    • CAR-T cell therapy research 4
    • Cytokine Signaling Pathways and Interactions 1

Shawn Lopez

8 papers receiving 301 citations

Peers

Shawn Lopez
Comparison fields: 5 of 48
  • Oncology 138
  • Immunology 82
  • Molecular Biology 189
  • Cell Biology 31
  • Biomedical Engineering 70
Replace Allison Banuelos with:
Allison Banuelos United States
Kathrin Haake Germany
Chi Young United States
Ryan Huang United States
Sebastian Brennig Germany
Sadhana Gaddam United States
Michael T. Peel United States
Jenny H. Hong Canada
Leo Boneschansker United States
Dan Duan China
Shawn Lopez relative to Allison Banuelos United States Allison Banuelos's profile →
Citations per field
00.5×4.5×
Allison Banuelos · 1×
Citations per year

Countries citing papers authored by Shawn Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Shawn Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2019150
2 201593
3 202019
4 202118
5 202314
6 20236
7 20184
8 20171

About Shawn Lopez

Shawn Lopez is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Rehabilitation, having authored 8 papers that have together received 305 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Oncology (138 citations), Immunology (82 citations), Molecular Biology (189 citations), Cell Biology (31 citations) and Biomedical Engineering (70 citations). Shawn Lopez has collaborated with scholars based in United States and Philippines. Frequent co-authors include Amélie Montel‐Hagen, Gay M. Crooks, Steven Tsai, Yuhua Zhu, David Casero, Christopher S. Seet, Patrick Chang, Suwen Li, Brent Chick and Chongbin He. Their work appears in journals such as Cell Reports, Nature Biomedical Engineering, Experimental Brain Research, Frontiers in Immunology and Blood.

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.

Explore authors with similar magnitude of impact