Isaac Brownell

6.1k total citations · 1 hit paper
124 papers, 4.2k citations indexed

About

Isaac Brownell is a scholar working on Oncology, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Isaac Brownell has authored 124 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Oncology, 31 papers in Electrical and Electronic Engineering and 28 papers in Molecular Biology. Recurrent topics in Isaac Brownell's work include Polyomavirus and related diseases (58 papers), Full-Duplex Wireless Communications (29 papers) and Plant Virus Research Studies (26 papers). Isaac Brownell is often cited by papers focused on Polyomavirus and related diseases (58 papers), Full-Duplex Wireless Communications (29 papers) and Plant Virus Research Studies (26 papers). Isaac Brownell collaborates with scholars based in United States, Germany and France. Isaac Brownell's co-authors include Paul Nghiem, Sandra P. D’Angelo, Célèste Lebbé, Patrick Terheyden, Shailender Bhatia, Alexandra L. Joyner, Kent C. Shih, Michèle Milella, Omid Hamid and Karl D. Lewis and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Isaac Brownell

107 papers receiving 4.1k citations

Hit Papers

Avelumab in patients with chemotherapy-refractory metasta... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Isaac Brownell United States 30 2.5k 991 970 812 634 124 4.2k
Tom Böhling Finland 42 2.5k 1.0× 1.7k 1.7× 1.0k 1.1× 959 1.2× 564 0.9× 187 6.7k
Jaehyuk Choi United States 26 1.1k 0.4× 568 0.6× 294 0.3× 245 0.3× 772 1.2× 71 2.5k
Claudia Pföhler Germany 26 1.3k 0.5× 437 0.4× 224 0.2× 189 0.2× 497 0.8× 143 2.8k
Genevieve M. Boland United States 30 2.3k 0.9× 2.1k 2.2× 169 0.2× 132 0.2× 1.4k 2.2× 121 5.6k
Aimee Payne United States 35 1.2k 0.5× 816 0.8× 117 0.1× 70 0.1× 867 1.4× 100 4.5k
Philip W. Zoltick United States 30 866 0.4× 1.8k 1.8× 136 0.1× 70 0.1× 454 0.7× 69 3.9k
Michael T. Tetzlaff United States 40 2.9k 1.2× 2.1k 2.1× 140 0.1× 120 0.1× 1.1k 1.7× 230 5.8k
Ralph J. Tuthill United States 29 1.3k 0.5× 745 0.8× 66 0.1× 56 0.1× 631 1.0× 84 2.7k
Lynn A. Cornelius United States 28 1.0k 0.4× 1.0k 1.0× 72 0.1× 45 0.1× 609 1.0× 72 3.0k
Haiying Xu United States 32 6.3k 2.6× 1.2k 1.2× 145 0.1× 108 0.1× 4.0k 6.3× 49 8.1k

Countries citing papers authored by Isaac Brownell

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Brownell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Brownell

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

All Works

20 of 20 papers shown
1.
Ye, Peiying, Jenna Bergerson, Isaac Brownell, et al.. (2025). Resolution of Squamous-Cell Carcinoma by Restoring T-Cell Receptor Signaling. New England Journal of Medicine. 393(5). 469–478.
2.
Strong, Jennifer, Heidi H. Kong, Isaac Brownell, et al.. (2025). Cutaneous manifestations of WHIM syndrome. The Journal of Dermatology. 52(5). 917–921.
3.
Andrew, Tom W., Ruth Plummer, Nick J. Reynolds, et al.. (2025). A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers. npj Digital Medicine. 8(1). 15–15.
4.
Miller, David M., Vernon K. Sondak, Sunandana Chandra, et al.. (2025). Dual Checkpoint Blockade in Merkel Cell Carcinoma: Lessons from CheckMate 358 and the Questions That Remain. 3(1).
5.
Floudas, Charalampos S., Meghali Goswami, Renee N. Donahue, et al.. (2025). Novel Combination Immunotherapy and Clinical Activity in Patients With HPV-Associated Cancers. JAMA Oncology. 11(4). 394–394. 10 indexed citations
6.
Miller, David M., Howard L. Kaufman, Kevin S. Emerick, et al.. (2023). Perioperative Immunotherapy for High-Risk Resectable Melanoma - A New Standard?. 1(1). 1 indexed citations
7.
Kim, Emily, Sophia Z. Shalhout, Howard L. Kaufman, et al.. (2023). Tumor-Infiltrating Lymphocyte Therapy for Advanced Melanoma: Ready for Prime Time?. 1(1). 2 indexed citations
8.
Gulley, James L., Mario E. Lacouture, Alexander I. Spira, et al.. (2021). 1689P Adverse event management during treatment with bintrafusp alfa, a bifunctional fusion protein targeting TGF-β and PD-L1: Treatment guidelines based on experience in clinical trials. Annals of Oncology. 32. S1181–S1182. 8 indexed citations
9.
Zhao, Jiawei, Yuemeng Jia, Shunli Shen, et al.. (2020). Merkel Cell Polyomavirus Small T Antigen Activates Noncanonical NF-κB Signaling to Promote Tumorigenesis. Molecular Cancer Research. 18(11). 1623–1637. 20 indexed citations
10.
Paulson, Kelly G., et al.. (2019). Immunotherapy for skin cancer. International Immunology. 31(7). 465–475. 47 indexed citations
11.
Hathaway, Olanda, et al.. (2019). Innumerable lentigines in a mother and daughter. Pediatric Dermatology. 36(1). 160–162.
12.
Harms, Paul W., Kelly L. Harms, Patrick S. Moore, et al.. (2018). The biology and treatment of Merkel cell carcinoma: current understanding and research priorities. Nature Reviews Clinical Oncology. 15(12). 763–776. 203 indexed citations
13.
D’Angelo, Sandra P., Jeffery S. Russell, J.C. Hassel, et al.. (2017). Avelumab treatment in chemotherapy-naïve patients with distant metastatic Merkel cell carcinoma (mMCC). Annals of Oncology. 28. v435–v436. 2 indexed citations
14.
Merrill, Eric Dean, et al.. (2016). Merkel Cell Carcinoma Therapeutic Update. Current Treatment Options in Oncology. 17(7). 36–36. 69 indexed citations
15.
Johnston, Jennifer J., Katie L. Lewis, David Ng, et al.. (2015). Individualized Iterative Phenotyping for Genome-wide Analysis of Loss-of-Function Mutations. The American Journal of Human Genetics. 96(6). 913–925. 43 indexed citations
16.
Williams, Jonathan S., et al.. (2013). Targeting the hedgehog pathway to treat basal cell carcinoma.. PubMed. 12(5). 519–23. 4 indexed citations
17.
Brownell, Isaac, Francisco Ramírez‐Valle, Miguel Sanchez, & Stephen D. Prystowsky. (2011). Evidence for Mycobacteria in Sarcoidosis. American Journal of Respiratory Cell and Molecular Biology. 45(5). 899–905. 89 indexed citations
18.
Cook, Kathleen & Isaac Brownell. (2008). Treatments for genital warts.. PubMed. 7(8). 801–7. 6 indexed citations
19.
Brownell, Isaac, et al.. (2008). Increased Malignancy Risk in the Cutaneous T-Cell Lymphoma Patient Population. Clinical Lymphoma & Myeloma. 8(2). 100–105. 34 indexed citations
20.
Brownell, Isaac. (2007). Nodular basal cell carcinoma: when in doubt, cut it out.. PubMed. 6(12). 1245–6. 1 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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