Pushpamali De Silva

1.6k total citations
36 papers, 1.1k citations indexed

About

Pushpamali De Silva is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pushpamali De Silva has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 15 papers in Immunology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pushpamali De Silva's work include Cancer Immunotherapy and Biomarkers (16 papers), Immunotherapy and Immune Responses (11 papers) and Immune Cell Function and Interaction (9 papers). Pushpamali De Silva is often cited by papers focused on Cancer Immunotherapy and Biomarkers (16 papers), Immunotherapy and Immune Responses (11 papers) and Immune Cell Function and Interaction (9 papers). Pushpamali De Silva collaborates with scholars based in Belgium, United States and Italy. Pushpamali De Silva's co-authors include Cinzia Solinas, Karen Willard‐Gallo, Edoardo Migliori, Michele Porcu, Luca Saba, Mario Scartozzi, Matteo Lambertini, Soizic Garaud, Dario Sangiolo and Carmen Criscitiello and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cancer Research.

In The Last Decade

Pushpamali De Silva

35 papers receiving 1.1k citations

Peers

Pushpamali De Silva
Aixa Soyano United States
Raju Vaddepally United States
Corey J. Williams United States
Prakash Kharel United States
Coleman E. Johnson United States
Jason B. Muhitch United States
Aixa Soyano United States
Pushpamali De Silva
Citations per year, relative to Pushpamali De Silva Pushpamali De Silva (= 1×) peers Aixa Soyano

Countries citing papers authored by Pushpamali De Silva

Since Specialization
Citations

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

Fields of papers citing papers by Pushpamali De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pushpamali De Silva. 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 Pushpamali De Silva. The network helps show where Pushpamali De Silva may publish in the future.

Co-authorship network of co-authors of Pushpamali De Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Pushpamali De Silva. A scholar is included among the top collaborators of Pushpamali De Silva 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 Pushpamali De Silva. Pushpamali De Silva 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.
Silva, Pushpamali De, Vera P. Leoni, Luigi Atzori, et al.. (2025). Spatial multiomics of the breast tumour microenvironment: State of the field, advancements and clinical implementation promises. Critical Reviews in Oncology/Hematology. 218. 105082–105082.
2.
Silva, Pushpamali De, Mohammad A. Saad, Zhiming Mai, et al.. (2025). Photodynamic priming with red light triggers adaptive immune responses in a pancreatic cancer mouse model. Journal of Photochemistry and Photobiology B Biology. 265. 113126–113126. 1 indexed citations
3.
Spisák, Sándor, David J. Chen, Zhixin Li, et al.. (2024). Identifying regulators of aberrant stem cell and differentiation activity in colorectal cancer using a dual endogenous reporter system. Nature Communications. 15(1). 2230–2230. 5 indexed citations
4.
Porcu, Michele, et al.. (2023). Breast MRI: Clinical Indications, Recommendations, and Future Applications in Breast Cancer Diagnosis. Current Oncology Reports. 25(4). 257–267. 32 indexed citations
5.
Solinas, Cinzia, et al.. (2023). COVID-19: From emerging variants to vaccination. Cytokine & Growth Factor Reviews. 76. 127–141. 16 indexed citations
6.
Silva, Pushpamali De, et al.. (2023). Abstract 3228: Photodynamic priming enhances immunotherapy responses overcoming oncogenic drivers in pancreatic patient derived tumor organoids. Cancer Research. 83(7_Supplement). 3228–3228. 1 indexed citations
7.
Petrelli, Fausto, Valentina Bertaglia, Maria Chiara Parati, et al.. (2022). Adjuvant chemotherapy for resected triple negative breast cancer patients: A network meta-analysis. The Breast. 67. 8–13. 6 indexed citations
8.
Noel, G. R., Soizic Garaud, Pushpamali De Silva, et al.. (2021). Functional Th1-oriented T follicular helper cells that infiltrate human breast cancer promote effective adaptive immunity. Journal of Clinical Investigation. 131(19). 115 indexed citations
9.
Pellegrino, Benedetta, Cristina Migali, Pushpamali De Silva, et al.. (2021). Luminal Breast Cancer: Risk of Recurrence and Tumor-Associated Immune Suppression. Molecular Diagnosis & Therapy. 25(4). 409–424. 38 indexed citations
10.
Anbil, Sriram, Michael Pigula, Huang‐Chiao Huang, et al.. (2020). Vitamin D Receptor Activation and Photodynamic Priming Enables Durable Low-dose Chemotherapy. Molecular Cancer Therapeutics. 19(6). 1308–1319. 39 indexed citations
11.
Pellegrino, Benedetta, Antonino Musolino, Alba Llop‐Guevara, et al.. (2020). Homologous Recombination Repair Deficiency and the Immune Response in Breast Cancer: A Literature Review. Translational Oncology. 13(2). 410–422. 50 indexed citations
12.
Solinas, Cinzia, Marco Maria Aiello, Pushpamali De Silva, et al.. (2019). Targeting PD-1 in cancer: Biological insights with a focus on breast cancer. Critical Reviews in Oncology/Hematology. 142. 35–43. 17 indexed citations
13.
Silva, Pushpamali De, Soizic Garaud, Cinzia Solinas, et al.. (2018). FOXP1 negatively regulates tumor infiltrating lymphocyte migration in human breast cancer. EBioMedicine. 39. 226–238. 34 indexed citations
14.
Solinas, Cinzia, Michele Porcu, Pushpamali De Silva, et al.. (2018). Cancer immunotherapy-associated hypophysitis. Seminars in Oncology. 45(3). 181–186. 45 indexed citations
15.
Solinas, Cinzia, Pushpamali De Silva, Michele Porcu, et al.. (2018). The Abscopal Effect in the Era of Cancer Immunotherapy: a Spontaneous Synergism Boosting Anti-tumor Immunity?. Targeted Oncology. 13(2). 113–123. 25 indexed citations
16.
Solinas, Cinzia, Luisa Carbognin, Pushpamali De Silva, Carmen Criscitiello, & Matteo Lambertini. (2017). Tumor-infiltrating lymphocytes in breast cancer according to tumor subtype: Current state of the art. The Breast. 35. 142–150. 95 indexed citations
17.
Solinas, Cinzia, Soizic Garaud, Pushpamali De Silva, et al.. (2017). Immune Checkpoint Molecules on Tumor-Infiltrating Lymphocytes and Their Association with Tertiary Lymphoid Structures in Human Breast Cancer. Frontiers in Immunology. 8. 1412–1412. 81 indexed citations
18.
Solinas, Cinzia, Michele Porcu, Pushpamali De Silva, et al.. (2017). Critical features and challenges associated with imaging in patients undergoing cancer immunotherapy. Critical Reviews in Oncology/Hematology. 120. 13–21. 52 indexed citations
19.
Solinas, Cinzia, Laurence Buisseret, Soizic Garaud, et al.. (2015). Evaluation of PDL1 expression in breast cancer by immunohistochemistry. Annals of Oncology. 26. iii25–iii25. 2 indexed citations
20.
Garaud, Soizic, Chunyan Gu‐Trantien, Anaïs Boisson, et al.. (2014). A Simple and Rapid Protocol to Non-enzymatically Dissociate Fresh Human Tissues for the Analysis of Infiltrating Lymphocytes. Journal of Visualized Experiments. 27 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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