Deborah Plana

821 total citations
20 papers, 436 citations indexed

About

Deborah Plana is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Deborah Plana has authored 20 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Deborah Plana's work include Infection Control and Ventilation (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Extracellular vesicles in disease (3 papers). Deborah Plana is often cited by papers focused on Infection Control and Ventilation (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Extracellular vesicles in disease (3 papers). Deborah Plana collaborates with scholars based in United States, Netherlands and Canada. Deborah Plana's co-authors include Benjamin H. Kann, Dennis Shung, Alyssa Grimshaw, Joseph J.�Y. Sung, Anurag Saraf, Adam C. Palmer, Peter K. Sorger, Nicole R. LeBoeuf, Sherry H. Yu and Michael S. Sinha and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Deborah Plana

19 papers receiving 425 citations

Peers

Deborah Plana

ONCOL

PRM

RNMI

Sebastian M. Staubli Switzerland

Tobias Paul Seraphin Germany

John Adeoye Hong Kong

Jianing Liu China

Stephan Ellmann Germany

Francis Spitz United States

Tianyun Fu China

Ailin Zhao China

Sumsum P. Sunny India

Dominik Soll Germany

Sebastian M. Staubli Switzerland

Deborah Plana

46 ×0.5

149 ×1.7

ONCOL

155 ×1.8

50 ×0.6

PRM

58 ×0.7

RNMI

Citations per year, relative to Deborah Plana Deborah Plana (= 1×) peers Sebastian M. Staubli

Countries citing papers authored by Deborah Plana

Since Specialization

Citations

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

Fields of papers citing papers by Deborah Plana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Plana

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

All Works

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20 of 20 papers shown

Plana, Deborah, et al.. (2023). Tumor-Specific Activity of Precision Medicines in the NCI-MATCH Trial. Clinical Cancer Research. 30(4). 786–792. 7 indexed citations

Welch, Mattea, Chris McIntosh, Shao Hui Huang, et al.. (2023). Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics. Cancer Research Communications. 3(6). 1140–1151. 18 indexed citations

Plana, Deborah, et al.. (2023). Additivity predicts the efficacy of most approved combination therapies for advanced cancer. Nature Cancer. 4(12). 1693–1704. 27 indexed citations

Ye, Zezhong, Jack M. Qian, Ahmed Hosny, et al.. (2022). Deep Learning–based Detection of Intravenous Contrast Enhancement on CT Scans. Radiology Artificial Intelligence. 4(3). e210285–e210285. 10 indexed citations

Plana, Deborah, Dennis Shung, Alyssa Grimshaw, et al.. (2022). Randomized Clinical Trials of Machine Learning Interventions in Health Care. JAMA Network Open. 5(9). e2233946–e2233946. 133 indexed citations

Plana, Deborah, Geoffrey Fell, Brian M. Alexander, Adam C. Palmer, & Peter K. Sorger. (2022). Cancer patient survival can be parametrized to improve trial precision and reveal time-dependent therapeutic effects. Nature Communications. 13(1). 873–873. 18 indexed citations

Peterson, John, Deborah Plana, Danielle S. Bitterman, et al.. (2022). Growth in eligibility criteria content and failure to accrue among National Cancer Institute (NCI)‐affiliated clinical trials. Cancer Medicine. 12(4). 4715–4724. 8 indexed citations

Cramer, Avilash, Deborah Plana, Enze Tian, et al.. (2021). Analysis of SteraMist ionized hydrogen peroxide technology in the sterilization of N95 respirators and other PPE. Scientific Reports. 11(1). 2051–2051. 31 indexed citations

Plana, Deborah, Enze Tian, Avilash Cramer, et al.. (2021). Assessing the filtration efficiency and regulatory status of N95s and nontraditional filtering face-piece respirators available during the COVID-19 pandemic. BMC Infectious Diseases. 21(1). 712–712. 18 indexed citations

10.

Antonini, Marc‐Joseph, Deborah Plana, Shriya S. Srinivasan, et al.. (2021). A Crisis-Responsive Framework for Medical Device Development Applied to the COVID-19 Pandemic. Frontiers in Digital Health. 3. 12 indexed citations

11.

Atta, Lyla, Deborah Plana, Christopher Davis, et al.. (2021). De Novo Powered Air-Purifying Respirator Design and Fabrication for Pandemic Response. Frontiers in Bioengineering and Biotechnology. 9. 690905–690905. 3 indexed citations

12.

Plana, Deborah, Jack M. Qian, Ahmed Hosny, et al.. (2021). Deep Learning and Harmonization of Multi-Institutional Data for Automated Gross Tumor and Nodal Segmentation for Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 111(3). e97–e98.

13.

Palmer, Adam C., Deborah Plana, & Peter K. Sorger. (2020). Comparing the Efficacy of Cancer Therapies between Subgroups in Basket Trials. Cell Systems. 11(5). 449–460.e2. 4 indexed citations

14.

Mostaghimi, Arash, Marc‐Joseph Antonini, Deborah Plana, et al.. (2020). Regulatory and Safety Considerations in Deploying a Locally Fabricated, Reusable Face Shield in a Hospital Responding to the COVID-19 Pandemic. Med. 1(1). 139–151.e4. 33 indexed citations

15.

Plana, Deborah, Laura Maliszewski, Lily A. Chylek, et al.. (2020). Considerations for the Selection and Use of Disinfectants Against SARS-CoV-2 in a Health Care Setting. Open Forum Infectious Diseases. 7(9). ofaa396–ofaa396. 5 indexed citations

16.

Shi, Alvin, Gyulnara G. Kasumova, William A. Michaud, et al.. (2020). Plasma-derived extracellular vesicle analysis and deconvolution enable prediction and tracking of melanoma checkpoint blockade outcome. Science Advances. 6(46). 45 indexed citations

17.

Koch, Raphael, Amanda L. Christie, Jennifer L. Crombie, et al.. (2018). Biomarker-driven strategy for MCL1 inhibition in T-cell lymphomas. Blood. 133(6). 566–575. 35 indexed citations

18.

Kasumova, Gyulnara G., Alvin Shi, Jessica Cintolo-Gonzalez, et al.. (2018). Abstract A35: BRAF inhibition increases exosomal PD-L1 protein expression in melanoma. Cancer Immunology Research. 6(9_Supplement). A35–A35. 2 indexed citations

19.

Shi, Alvin, Gyulnara G. Kasumova, Isabel Chien, et al.. (2018). Abstract 4282: Deconvolution of plasma-derived exosomes for tracking and prediction of immunotherapy across multiple tissues. Cancer Research. 78(13_Supplement). 4282–4282. 9 indexed citations

20.

Plana, Deborah, et al.. (2016). Synergistic Communication between CD4+ T Cells and Monocytes Impacts the Cytokine Environment. Scientific Reports. 6(1). 34942–34942. 18 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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