Tyler Laszewski

1.3k citations
11 papers · 1k · h-index 9

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 2
    • Pancreatic and Hepatic Oncology Research 1
    • TGF-β signaling in diseases 2
    • PI3K/AKT/mTOR signaling in cancer 1
    • Protein Tyrosine Phosphatases 1
    • CRISPR and Genetic Engineering 1

Tyler Laszewski

11 papers receiving 999 citations

Peers

Tyler Laszewski
Comparison fields: 5 of 66
  • Oncology 482
  • Cancer Research 126
  • Immunology 173
  • Aging 9
  • Molecular Biology 292
Replace Hayley L. Belnoue-Davis with:
Hayley L. Belnoue-Davis United Kingdom
Curtis H. Kugel United States
Mona Foth United States
Allison Mayle United States
Asa E. Karlsson Sweden
Shweta Aras United States
Amy R. Peck United States
Aida S. Hansen Denmark
Laura Bornes Netherlands
Madelon Paauwe Netherlands
Tyler Laszewski relative to Hayley L. Belnoue-Davis United Kingdom Hayley L. Belnoue-Davis's profile →
Citations per field
00.5×2×3×4.2×
Hayley L. Belnoue-Davis · 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

11 of 11 papers shown
#Work
1 2018168
2 2020159
3 2018141
4 2019129
5 2019117
6 2016112
7 202281
8 202158
9 202332
10 20188
11 20248

About Tyler Laszewski

Tyler Laszewski is a scholar working on Oncology, Molecular Biology, Cancer Research, Genetics and Nuclear Energy and Engineering, having authored 11 papers that have together received 1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), TGF-β signaling in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Tyrosine Phosphatases (1 paper), Cancer Genomics and Diagnostics (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (482 citations), Cancer Research (126 citations), Immunology (173 citations), Aging (9 citations) and Molecular Biology (292 citations). Tyler Laszewski has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Sandra S. McAllister, Molly J. DeCristo, Jessalyn M. Ubellacker, John N. Hutchinson, Whitney S. Henry, Alex Toker, Francisco Ferro de Beça, Tiffany Tsang, Andrew H. Beck and Viviana Cremasco. Their work appears in journals such as Cancer Immunology Research, Nature Cell Biology, Nature Communications, PLoS ONE and Cancer Discovery.

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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