Brandon Piel

2.7k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Brandon Piel is a scholar working on Immunology, Molecular Biology and Biomaterials. According to data from OpenAlex, Brandon Piel has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Biomaterials. Recurrent topics in Brandon Piel's work include Nanoparticle-Based Drug Delivery (4 papers), interferon and immune responses (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Brandon Piel is often cited by papers focused on Nanoparticle-Based Drug Delivery (4 papers), interferon and immune responses (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Brandon Piel collaborates with scholars based in United States, Italy and Japan. Brandon Piel's co-authors include Prakash Rai, Stephanie Tran, Tran C. Thai, David A. Barbie, Ryohei Yoshida, Elena V. Ivanova, Marco Campisi, Shunsuke Kitajima, Cloud P. Paweletz and Shriram K. Sundararaman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Frontiers in Immunology.

In The Last Decade

Brandon Piel

10 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Cancer nanomedicine: a review of recent success in drug delivery

2017 686 citations Stephanie Tran, Brandon Piel et al. Clinical and Translational Medicine profile →

Peers

Brandon Piel

MB

BE

BIOMA

IMMUN

ONCOL

Ying‐Li Luo China

Alexandros Marios Sofias Germany

Suxin Li China

Sara Musetti United States

João Conniot Portugal

Yun‐Chieh Sung Taiwan

Yisi Tang China

Yu Qin China

Cao Dai Phung South Korea

Xinghui Si China

Ying‐Li Luo China

Brandon Piel

1.1k ×2.4

MB

625 ×1.5

BE

407 ×1.0

BIOMA

440 ×1.3

IMMUN

256 ×0.9

ONCOL

Citations per year, relative to Brandon Piel Brandon Piel (= 1×) peers Ying‐Li Luo

Countries citing papers authored by Brandon Piel

Since Specialization

Citations

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

Fields of papers citing papers by Brandon Piel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Piel

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Piel. A scholar is included among the top collaborators of Brandon Piel 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 Brandon Piel. Brandon Piel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Wang, Yufei, Alicia Buck, Brandon Piel, et al.. (2023). 442 CAIX targeted CAR-T cells exhibited antitumor efficacy on renal cell carcinoma (RCC) patient derived organotypic tumor spheroids (PDOTS). SHILAP Revista de lepidopterología. A491–A491. 1 indexed citations

2.

Campisi, Marco, Shriram K. Sundararaman, Sarah E. Shelton, et al.. (2020). Tumor-Derived cGAMP Regulates Activation of the Vasculature. Frontiers in Immunology. 11. 2090–2090. 48 indexed citations

3.

Zhu, Zehua, Tran C. Thai, Navin R. Mahadevan, et al.. (2019). Phosphorylation of RAB7 by TBK1/IKKϵ Regulates Innate Immune Signaling in Triple-Negative Breast Cancer. Cancer Research. 80(1). 44–56. 44 indexed citations

4.

Kitajima, Shunsuke, Elena V. Ivanova, Sujuan Guo, et al.. (2018). Suppression of STING Associated with LKB1 Loss in KRAS-Driven Lung Cancer. Cancer Discovery. 9(1). 34–45. 348 indexed citations

5.

Piel, Brandon, et al.. (2018). Liposomes Aid Curcumin's Combat with Cancer in a Breast Tumor Model. 3. 94–109. 11 indexed citations

6.

Piel, Brandon, et al.. (2018). GSK461364A, a Polo-Like Kinase-1 Inhibitor Encapsulated in Polymeric Nanoparticles for the Treatment of Glioblastoma Multiforme (GBM). Bioengineering. 5(4). 83–83. 11 indexed citations

7.

Piel, Brandon, et al.. (2017). Nanoparticle Design Strategies for Effective Cancer Immunotherapy. PubMed. 2(2). 64–77. 56 indexed citations

8.

Tran, Stephanie, et al.. (2017). Cancer nanomedicine: a review of recent success in drug delivery. Clinical and Translational Medicine. 6(1). 44–44. 686 indexed citations breakdown →

9.

Sneider, Alexandra, et al.. (2016). Engineering Remotely Triggered Liposomes to Target Triple Negative Breast Cancer. PubMed. 2. 1–13. 23 indexed citations

10.

Piel, Brandon, et al.. (2011). Haemolytic uraemic syndrome preceding acute lymphoblastic leukaemia. BMJ Case Reports. 2011. bcr0520114285–bcr0520114285. 3 indexed citations

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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