Anna Capasso

654 total citations
23 papers, 343 citations indexed

About

Anna Capasso is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Anna Capasso has authored 23 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Anna Capasso's work include Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Protein Tyrosine Phosphatases (3 papers). Anna Capasso is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Protein Tyrosine Phosphatases (3 papers). Anna Capasso collaborates with scholars based in United States, Italy and Netherlands. Anna Capasso's co-authors include John Virostko, Thomas E. Yankeelov, Boone Goodgame, Todd M. Pitts, John J. Tentler, Stacey M. Bagby, S. Gail Eckhardt, Devleena Samanta, Dexiang Gao and Michael W. Lee and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Anna Capasso

22 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Capasso United States 11 178 168 62 39 37 23 343
Xinjian Huang China 13 190 1.1× 172 1.0× 68 1.1× 112 2.9× 23 0.6× 25 395
Carmelo Laface Italy 11 92 0.5× 121 0.7× 87 1.4× 29 0.7× 30 0.8× 34 291
Kiruthikah Thillai United Kingdom 12 159 0.9× 127 0.8× 62 1.0× 65 1.7× 28 0.8× 25 292
Changxia Shao United States 11 166 0.9× 177 1.1× 80 1.3× 48 1.2× 50 1.4× 35 398
Marko Kornmann Germany 10 179 1.0× 178 1.1× 63 1.0× 78 2.0× 41 1.1× 26 375
Jin Yun Chen United States 5 218 1.2× 124 0.7× 53 0.9× 111 2.8× 32 0.9× 7 512
Yan Leyfman United States 9 117 0.7× 195 1.2× 49 0.8× 61 1.6× 18 0.5× 25 338
Yuming Jia China 11 170 1.0× 91 0.5× 57 0.9× 71 1.8× 18 0.5× 37 313
Salvatore Volpe Italy 8 156 0.9× 117 0.7× 31 0.5× 21 0.5× 48 1.3× 26 334
Miki Fukutani Japan 10 125 0.7× 180 1.1× 97 1.6× 67 1.7× 21 0.6× 24 314

Countries citing papers authored by Anna Capasso

Since Specialization
Citations

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

Fields of papers citing papers by Anna Capasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Capasso

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Capasso. A scholar is included among the top collaborators of Anna Capasso 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 Anna Capasso. Anna Capasso 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.
Capasso, Anna, et al.. (2025). Conformationally Locked Peptide–DNA Nanostructures for CRISPR‐Amplified Activity‐Based Sensing. Angewandte Chemie International Edition. 64(25). e202500649–e202500649. 4 indexed citations
2.
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Osorio, Daniel, Anna Capasso, S. Gail Eckhardt, et al.. (2024). Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics data. Nature Computational Science. 4(3). 237–250. 6 indexed citations
4.
Soleimani, Milad, Anna Capasso, Uma Giri, et al.. (2023). Elucidating the direct effects of the novel HDAC inhibitor bocodepsin (OKI-179) on T cells to rationally design regimens for combining with immunotherapy. Frontiers in Immunology. 14. 1260545–1260545. 3 indexed citations
5.
Pandit, Subrata, et al.. (2023). DNA‐Barcoded Plasmonic Nanostructures for Activity‐Based Protease Sensing. Angewandte Chemie International Edition. 63(2). e202310964–e202310964. 21 indexed citations
6.
Pandit, Subrata, et al.. (2023). DNA‐Barcoded Plasmonic Nanostructures for Activity‐Based Protease Sensing. Angewandte Chemie. 136(2). 2 indexed citations
7.
Haura, Eric B., Jose M. Pacheco, Marianna Koczywas, et al.. (2021). Abstract LB050: Modulation of innate and adaptive immunity in blood and tumor of patients receiving the SHP2 inhibitor RMC-4630. Cancer Research. 81(13_Supplement). LB050–LB050. 2 indexed citations
8.
Koczywas, Marianna, Eric B. Haura, Pasi A. Jänne, et al.. (2021). Abstract LB001: Anti-tumor activity and tolerability of the SHP2 inhibitor RMC-4630 as a single agent in patients with RAS-addicted solid cancers. Cancer Research. 81(13_Supplement). LB001–LB001. 11 indexed citations
9.
McGrail, Daniel J., Ming Sun, Dan Qi, et al.. (2020). Integrated Genomic Characterization of the Human Immunome in Cancer. Cancer Research. 80(21). 4854–4867. 10 indexed citations
10.
Davis, Victoria H., et al.. (2020). Outcomes That Matter Most to Young Adults Diagnosed with Cancer: A Qualitative Study. Journal of Adolescent and Young Adult Oncology. 10(5). 534–539. 14 indexed citations
11.
Tentler, John J., Julie Lang, Anna Capasso, et al.. (2020). RX-5902, a novel β-catenin modulator, potentiates the efficacy of immune checkpoint inhibitors in preclinical models of triple-negative breast Cancer. BMC Cancer. 20(1). 1063–1063. 21 indexed citations
12.
Steinel, Natalie C., et al.. (2020). The renal adverse effects of cancer immunotherapy. Journal of Nephrology. 33(3). 467–481. 6 indexed citations
13.
Capasso, Anna, Giancarlo Bilancio, Michael W. Lee, et al.. (2020). Skin Architecture, Kidney Transplantation, and Their Relationship to Basal and Squamous Cell Carcinomas. Anticancer Research. 40(7). 4017–4022. 2 indexed citations
14.
Capasso, Anna, Davide Viggiano, Michael W. Lee, et al.. (2020). Kidney Transplant Modifies the Architecture and Microenvironment of Basal Cell Carcinomas. Kidney & Blood Pressure Research. 45(3). 368–377. 6 indexed citations
15.
Capasso, Anna, et al.. (2020). Immune Checkpoint Blockade in Gastrointestinal Cancers: The Current Status and Emerging Paradigms. SHILAP Revista de lepidopterología. 3(1). 3–15. 3 indexed citations
16.
Lee, Michael W., et al.. (2020). Current methods in translational cancer research. Cancer and Metastasis Reviews. 40(1). 7–30. 20 indexed citations
17.
18.
Turner, Jacqueline A., Stacey M. Bagby, Anna Capasso, et al.. (2018). BRAF fusions identified in melanomas have variable treatment responses and phenotypes. Oncogene. 38(8). 1296–1308. 28 indexed citations
19.
Diamond, Jennifer R., S. Gail Eckhardt, Todd M. Pitts, et al.. (2018). A phase II clinical trial of the Aurora and angiogenic kinase inhibitor ENMD-2076 for previously treated, advanced, or metastatic triple-negative breast cancer. Breast Cancer Research. 20(1). 82–82. 61 indexed citations
20.
Quackenbush, Kevin S., Stacey M. Bagby, Wai Meng David Tai, et al.. (2016). The novel tankyrase inhibitor (AZ1366) enhances irinotecan activity in tumors that exhibit elevated tankyrase and irinotecan resistance. Oncotarget. 7(19). 28273–28285. 31 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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