Tyler Laszewski

1.2k citations
6 papers · 560 · h-index 6

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis
  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Cytokine Signaling Pathways and Interactions 1
    • Immunotherapy and Immune Responses 2

Tyler Laszewski

6 papers receiving 557 citations

Peers

Tyler Laszewski
Comparison fields: 5 of 71
  • Oncology 313
  • Immunology 228
  • Cancer Research 120
  • Molecular Biology 236
  • Physiology 11
Replace Mikako Nishida with:
Mikako Nishida Japan
Touko Inao Japan
Mingjing Shen China
Mary C. Weiser-Evans United States
Haruhito Kinoshita Japan
Jae Ho Lo United States
Sandrine Prost United Kingdom
Yu‐zhong Duan China
Go Masuda Japan
Guang-Ang Tian China
Tyler Laszewski relative to Mikako Nishida Japan Mikako Nishida's profile →
Citations per field
00.5×1.5×
Mikako Nishida · 1×
Citations per year

Countries citing papers authored by Tyler Laszewski

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Laszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2018147
2 2018130
3 2019110
4 2016103
5 202263
6 20187

About Tyler Laszewski

Tyler Laszewski is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 6 papers that have together received 560 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Nanoplatforms for cancer theranostics (1 paper), Inflammatory Bowel Disease (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (313 citations), Immunology (228 citations), Cancer Research (120 citations), Molecular Biology (236 citations) and Physiology (11 citations). Tyler Laszewski has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sandra S. McAllister, Molly J. DeCristo, John N. Hutchinson, Jessalyn M. Ubellacker, Andrew H. Beck, Alex Toker, Francisco Beça, Tiffany Tsang, Whitney S. Henry and Glenn Dranoff. Their work appears in journals such as Nature Cell Biology, PLoS Biology, Cancer Immunology Research, PLoS ONE and Cancer Research.

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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