Jacob A. Boyer

1.7k total citations · 3 hit papers
9 papers, 1.1k citations indexed

About

Jacob A. Boyer is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jacob A. Boyer has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Oncology. Recurrent topics in Jacob A. Boyer's work include CAR-T cell therapy research (2 papers), Immune Response and Inflammation (2 papers) and Immune cells in cancer (2 papers). Jacob A. Boyer is often cited by papers focused on CAR-T cell therapy research (2 papers), Immune Response and Inflammation (2 papers) and Immune cells in cancer (2 papers). Jacob A. Boyer collaborates with scholars based in United States, Israel and Germany. Jacob A. Boyer's co-authors include Scott W. Lowe, Corina Amor, Michel Sadelain, Judith Feucht, Yu-Jui Ho, Theodoros Giavridis, Vladimir Ponomarev, Shauna L Houlihan, Changyu Zhu and Xiang Li and has published in prestigious journals such as Nature, Nature Materials and Molecular Cell.

In The Last Decade

Jacob A. Boyer

8 papers receiving 1.1k citations

Hit Papers

Senolytic CAR T cells reverse senescence-associated patho... 2020 2026 2022 2024 2020 2023 2024 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Senolytic CAR T cells reverse senescence-associated pathologies
    2020 724 citations Corina Amor, Judith Feucht et al. Nature profile →
  2. P-selectin-targeted nanocarriers induce active crossing of the blood–brain barrier via caveolin-1-dependent transcytosis
    2023 145 citations Janki Shah, Jacob A. Boyer et al. Nature Materials profile →
  3. Prophylactic and long-lasting efficacy of senolytic CAR T cells against age-related metabolic dysfunction
    2024 104 citations Corina Amor, Yu-Jui Ho et al. Nature Aging profile →

Peers

Jacob A. Boyer
Akaitz Dorronsoro Spain
Lauren P. Virtuoso United States
Martina Gluscevic United States
Marta Varela-Eirín Spain
Oanh Lê Canada
Shauna L Houlihan United States
Peter Krasnov United States
Aleksandra V. Borodkina Russia
Aaron T. Place United States
Nicolas Malaquin Canada
Akaitz Dorronsoro Spain
Jacob A. Boyer
Citations per year, relative to Jacob A. Boyer Jacob A. Boyer (= 1×) peers Akaitz Dorronsoro

Countries citing papers authored by Jacob A. Boyer

Since Specialization
Citations

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

Fields of papers citing papers by Jacob A. Boyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob A. Boyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob A. Boyer. A scholar is included among the top collaborators of Jacob A. Boyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacob A. Boyer. Jacob A. Boyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Gadal, Sunyana, Jacob A. Boyer, Simon F. Roy, et al.. (2025). Tumorigenesis Driven by BRAFV600E Requires Secondary Mutations That Overcome Its Feedback Inhibition of RAC1 and Migration. Cancer Research. 85(9). 1611–1627.
2.
Amor, Corina, Yu-Jui Ho, Sandeep Nadella, et al.. (2024). Prophylactic and long-lasting efficacy of senolytic CAR T cells against age-related metabolic dysfunction. Nature Aging. 4(3). 336–349. 104 indexed citations breakdown →
3.
Dorso, M., Payal T. Patel, Aleksandr Pankov, et al.. (2023). A Druggable FOXA1-Glucocorticoid Receptor Transcriptional Axis Drives Tumor Growth in a Subset of Non-Small Cell Lung Cancer. Cancer Research Communications. 3(9). 1788–1799. 2 indexed citations
4.
Shah, Janki, Jacob A. Boyer, Daniel R. Boué, et al.. (2023). P-selectin-targeted nanocarriers induce active crossing of the blood–brain barrier via caveolin-1-dependent transcytosis. Nature Materials. 22(3). 391–399. 145 indexed citations breakdown →
5.
Vanaja, Kiran, Jacob A. Boyer, Sunyana Gadal, et al.. (2021). Regulation of PTEN translation by PI3K signaling maintains pathway homeostasis. Molecular Cell. 81(4). 708–723.e5. 84 indexed citations
6.
Amor, Corina, Judith Feucht, Josef Leibold, et al.. (2020). Senolytic CAR T cells reverse senescence-associated pathologies. Nature. 583(7814). 127–132. 724 indexed citations breakdown →
7.
Boyer, Jacob A., Iain A. Murray, Krishne Gowda, et al.. (2017). Editor’s Highlight: Ah Receptor Activation Potentiates Neutrophil Chemoattractant (C-X-C Motif) Ligand 5 Expression in Keratinocytes and Skin. Toxicological Sciences. 160(1). 83–94. 29 indexed citations
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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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