Sara Nizzero

666 total citations
21 papers, 467 citations indexed

About

Sara Nizzero is a scholar working on Biomaterials, Oncology and Biomedical Engineering. According to data from OpenAlex, Sara Nizzero has authored 21 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 8 papers in Oncology and 8 papers in Biomedical Engineering. Recurrent topics in Sara Nizzero's work include Nanoparticle-Based Drug Delivery (8 papers), Mathematical Biology Tumor Growth (5 papers) and MRI in cancer diagnosis (3 papers). Sara Nizzero is often cited by papers focused on Nanoparticle-Based Drug Delivery (8 papers), Mathematical Biology Tumor Growth (5 papers) and MRI in cancer diagnosis (3 papers). Sara Nizzero collaborates with scholars based in United States, Switzerland and Italy. Sara Nizzero's co-authors include Mauro Ferrari, Haifa Shen, Artūras Žiemys, Guodong Zhang, Joy Wolfram, Elvin Blanco, Haoran Liu, Li Zheng, Feng Li and Anneli Hoggard and has published in prestigious journals such as Nano Letters, Cancer Research and Scientific Reports.

In The Last Decade

Sara Nizzero

19 papers receiving 462 citations

Peers

Sara Nizzero

BIOMA

ONCOL

Prashant Dogra United States

Gabriel Siracusano Italy

Louis T. Curtis United States

Wouter H. P. Driessen United States

Seiko Toraya‐Brown United States

Saheli Sarkar United States

Shuangqian Yan China

Yi-Wei Lee Taiwan

Milad Shamsi Canada

Prashant Dogra United States

Sara Nizzero

303 ×1.7

323 ×2.4

BIOMA

214 ×1.7

178 ×2.2

ONCOL

203 ×3.4

Citations per year, relative to Sara Nizzero Sara Nizzero (= 1×) peers Prashant Dogra

Countries citing papers authored by Sara Nizzero

Since Specialization

Citations

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

Fields of papers citing papers by Sara Nizzero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Nizzero

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Nizzero. A scholar is included among the top collaborators of Sara Nizzero 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 Sara Nizzero. Sara Nizzero 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

Gachechiladze, Mariam, Sara Nizzero, Sabine Schädelin, et al.. (2024). Abstract 6394: Tissue nanomechanical signature predicts response to neoadjuvant chemotherapy in patients with breast cancer. Cancer Research. 84(6_Supplement). 6394–6394.

Puebla‐Osorio, Nahum, Sara Nizzero, Natalie W. Fowlkes, et al.. (2024). Abstract 697: Enhanced tumor control and survival in solid tumor models following combined low dose radiotherapy and T cell therapy. Cancer Research. 84(6_Supplement). 697–697.

Butner, Joseph D., Prashant Dogra, Caroline Chung, et al.. (2022). Dedifferentiation-mediated stem cell niche maintenance in early-stage ductal carcinoma in situ progression: insights from a multiscale modeling study. Cell Death and Disease. 13(5). 485–485. 4 indexed citations

Wang, Charles X., Dalia Elganainy, Mohamed Zaid, et al.. (2022). Mass Transport Model of Radiation Response: Calibration and Application to Chemoradiation for Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 114(1). 163–172. 1 indexed citations

Butner, Joseph D., Zhihui Wang, Dalia Elganainy, et al.. (2021). A mathematical model for the quantification of a patient’s sensitivity to checkpoint inhibitors and long-term tumour burden. Nature Biomedical Engineering. 5(4). 297–308. 28 indexed citations

Anaya, Daniel A., Prashant Dogra, Zhihui Wang, et al.. (2021). A Mathematical Model to Estimate Chemotherapy Concentration at the Tumor-Site and Predict Therapy Response in Colorectal Cancer Patients with Liver Metastases. Cancers. 13(3). 444–444. 16 indexed citations

Goel, Shreya, Guodong Zhang, Prashant Dogra, et al.. (2020). Sequential deconstruction of composite drug transport in metastatic breast cancer. Science Advances. 6(26). eaba4498–eaba4498. 12 indexed citations

Dogra, Prashant, Joseph D. Butner, Sara Nizzero, et al.. (2020). Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 12(5). e1628–e1628. 19 indexed citations

Anaya, Daniel A., Prashant Dogra, Zhihui Wang, et al.. (2020). A Mathematical Model to Estimate Chemotherapy Concentration at the Tumor-Site and Predict Therapy Response in Colorectal Cancer Patients with Liver Metastases. SSRN Electronic Journal. 1 indexed citations

10.

Kojić, Miloš, Miljan Milošević, Vladimir Simić, et al.. (2019). Smeared Multiscale Finite Element Models for Mass Transport and Electrophysiology Coupled to Muscle Mechanics. Frontiers in Bioengineering and Biotechnology. 7. 381–381. 8 indexed citations

11.

Nizzero, Sara, Feng Li, Guodong Zhang, et al.. (2019). Systematic comparison of methods for determining the in vivo biodistribution of porous nanostructured injectable inorganic particles. Acta Biomaterialia. 97. 501–512. 9 indexed citations

12.

Nizzero, Sara, Haifa Shen, Mauro Ferrari, & Bruna Corradetti. (2019). Immunotherapeutic Transport Oncophysics: Space, Time, and Immune Activation in Cancer. Trends in cancer. 6(1). 40–48. 12 indexed citations

13.

Riccò, Raffaele, et al.. (2018). Ultra-small dye-doped silica nanoparticles via modified sol-gel technique. Journal of Nanoparticle Research. 20(5). 117–117. 21 indexed citations

14.

Nizzero, Sara, Artūras Žiemys, & Mauro Ferrari. (2018). Transport Barriers and Oncophysics in Cancer Treatment. Trends in cancer. 4(4). 277–280. 43 indexed citations

15.

Mattu, Clara, Luca Menichetti, Alessandra Flori, et al.. (2018). Alternating block copolymer-based nanoparticles as tools to modulate the loading of multiple chemotherapeutics and imaging probes. Acta Biomaterialia. 80. 341–351. 15 indexed citations

16.

Kojić, Miloš, Miljan Milošević, Vladimir Simić, et al.. (2017). A composite smeared finite element for mass transport in capillary systems and biological tissue. Computer Methods in Applied Mechanics and Engineering. 324. 413–437. 38 indexed citations

17.

Wu, Xiaoyan, Zhenhua Hu, Sara Nizzero, et al.. (2017). Bone-targeting nanoparticle to co-deliver decitabine and arsenic trioxide for effective therapy of myelodysplastic syndrome with low systemic toxicity. Journal of Controlled Release. 268. 92–101. 32 indexed citations

18.

Wolfram, Joy, Sara Nizzero, Haoran Liu, et al.. (2017). A chloroquine-induced macrophage-preconditioning strategy for improved nanodelivery. Scientific Reports. 7(1). 13738–13738. 115 indexed citations

19.

Scott, Bronwyn, Jianliang Shen, Sara Nizzero, et al.. (2016). A pyruvate decarboxylase-mediated therapeutic strategy for mimicking yeast metabolism in cancer cells. Pharmacological Research. 111. 413–421. 8 indexed citations

20.

Yorulmaz, Mustafa, Sara Nizzero, Anneli Hoggard, et al.. (2015). Single-Particle Absorption Spectroscopy by Photothermal Contrast. Nano Letters. 15(5). 3041–3047. 84 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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