Paula Toro

709 total citations
27 papers, 239 citations indexed

About

Paula Toro is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Paula Toro has authored 27 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Oncology and 9 papers in Artificial Intelligence. Recurrent topics in Paula Toro's work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (9 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Paula Toro is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (9 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Paula Toro collaborates with scholars based in United States, Switzerland and Colombia. Paula Toro's co-authors include Anant Madabhushi, Germán Corredor, Vidya Sankar Viswanathan, Sanjay Mukhopadhyay, Cheng Lu, Pingfu Fu, Kaustav Bera, Hannah Gilmore, Aparna Harbhajanka and Nancy E. Davidson and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Paula Toro

26 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paula Toro United States	8	125	92	58	56	37	27	239
Wei-Hsiang Yu Taiwan	6	179 1.4×	166 1.8×	50 0.9×	68 1.2×	27 0.7×	10	268
Vidya Sankar Viswanathan United States	10	179 1.4×	91 1.0×	101 1.7×	93 1.7×	32 0.9×	39	307
Shaoqi Fan United States	9	132 1.1×	142 1.5×	98 1.7×	47 0.8×	69 1.9×	17	318
Christina Glasner Germany	3	153 1.2×	129 1.4×	93 1.6×	62 1.1×	53 1.4×	4	279
Luoting Zhuang United States	2	170 1.4×	157 1.7×	34 0.6×	46 0.8×	52 1.4×	5	336
Peter Truszkowski United States	2	187 1.5×	211 2.3×	60 1.0×	50 0.9×	41 1.1×	2	341
Marta Ligero Spain	10	241 1.9×	90 1.0×	85 1.5×	90 1.6×	31 0.8×	20	350
Kaitlin E. Sundling United States	12	58 0.5×	79 0.9×	79 1.4×	47 0.8×	31 0.8×	28	300
Carmen van Dooijeweert Netherlands	11	99 0.8×	116 1.3×	131 2.3×	65 1.2×	105 2.8×	29	304
Xiaofeng Jiang China	7	188 1.5×	63 0.7×	111 1.9×	56 1.0×	33 0.9×	13	285

Countries citing papers authored by Paula Toro

Since Specialization

Citations

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

Fields of papers citing papers by Paula Toro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Toro

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

Corredor, Germán, Jonathan Harris, Can Koyuncu, et al.. (2024). Metrics Derived from Architecture of Tumor-Infiltrating Lymphocytes are Associated with Overall Survival in HPV-Positive Oropharyngeal Squamous Cell Carcinoma Patients: Results from NRG/RTOG 0129 and 0522. International Journal of Radiation Oncology*Biology*Physics. 120(2). S130–S130. 1 indexed citations

Toro, Paula, Pingfu Fu, Sunil Badve, et al.. (2024). A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results from a cohort within the UK/ANZ DCIS trial. The Lancet Digital Health. 6(8). e562–e569. 4 indexed citations

Li, Haojia, Germán Corredor, Pingfu Fu, et al.. (2024). Association of artificial intelligence–derived collagen disorder architecture (CoDA) features with survival outcome and objective response to immune checkpoint inhibitors in patients with head and neck squamous cell carcinoma.. Journal of Clinical Oncology. 42(16_suppl). 6061–6061. 1 indexed citations

Corredor, Germán, et al.. (2024). 917P Automatic characterization of spatial arrangement of tumor-infiltrating lymphocytes identifies oral cavity squamous cell carcinoma patients with poorer prognosis. Annals of Oncology. 35. S644–S644. 1 indexed citations

Chen, Yijiang, Jarcy Zee, Andrew Janowczyk, et al.. (2023). Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies. Kidney360. 4(5). 648–658. 13 indexed citations

Corredor, Germán, et al.. (2023). A Review of AI-Based Radiomics and Computational Pathology Approaches in Triple-Negative Breast Cancer: Current Applications and Perspectives. Clinical Breast Cancer. 23(8). 800–812. 14 indexed citations

Toro, Paula, et al.. (2023). Evaluación de dexmedetomidina y dexametasona como analgésicos adyuvantes en el bloqueo de los nervios ciático y femoral con levobupivacaína para cirugía de rodilla en perros. Revista de Investigaciones Veterinarias del Perú. 34(5). e24792–e24792.

Koyuncu, Can, Paula Toro, Germán Corredor, et al.. (2022). A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study. Oral Oncology. 131. 105942–105942. 12 indexed citations

Prasanna, Prateek, Germán Corredor, Cristian Barrera, et al.. (2022). Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome. npj Precision Oncology. 6(1). 33–33. 32 indexed citations

10.

Li, Haojia, Germán Corredor, Paula Toro, et al.. (2022). Imaging biomarkers of collagen architecture on baseline biopsies in association with response in patients with head and neck squamous cell carcinoma treated with immunotherapy.. Journal of Clinical Oncology. 40(16_suppl). 6047–6047. 1 indexed citations

11.

Lacroix‐Triki, Magali, Emilia Andersson, Marta Cañamero, et al.. (2022). Tissue Selection for PD-L1 Testing in Triple Negative Breast Cancer (TNBC). Applied immunohistochemistry & molecular morphology. 30(8). 549–556. 7 indexed citations

12.

Corredor, Germán, Kaustav Bera, Patrick Leo, et al.. (2022). Computational image features of immune architecture is associated with clinical benefit and survival in gynecological cancers across treatment modalities. Journal for ImmunoTherapy of Cancer. 10(2). e003833–e003833. 12 indexed citations

13.

Bera, Kaustav, Paula Toro, Pingfu Fu, et al.. (2021). Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation. npj Breast Cancer. 7(1). 104–104. 44 indexed citations

14.

Yang, Kailin, Cheng Lu, Lin Li, et al.. (2021). Radiomic Features Associated With HPV Status on Pretreatment Computed Tomography in Oropharyngeal Squamous Cell Carcinoma Inform Clinical Prognosis. Frontiers in Oncology. 11. 744250–744250. 22 indexed citations

15.

Corredor, Germán, Paula Toro, Kaustav Bera, et al.. (2021). Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings. Journal of Medical Imaging. 8(S1). 17501–17501. 3 indexed citations

16.

Bera, Kaustav, Paula Toro, Pingfu Fu, et al.. (2021). Abstract PS4-45: Computerized image analysis of nuclear morphological features reveals differences in phenotype and prognosis of disease free survival of early stage ER+ breast cancers for South Asian and North American women. Cancer Research. 81(4_Supplement). PS4–45. 2 indexed citations

17.

Corredor, Germán, et al.. (2018). A method to detect glands in histological gastric cancer images. 65. 41–41. 1 indexed citations

18.

Romero, Eduardo, et al.. (2018). A visualization, navigation, and annotation system for dermatopathology training. 2. 38–38. 1 indexed citations

19.

Sempere, Ángel Pérez, et al.. (2013). Primary cerebral lymphoma with spontaneous remission. Neurología (English Edition). 28(2). 123–126. 2 indexed citations

20.

Toro, Paula, et al.. (1989). [Clomipramine dependence in a drug addict. 1st case].. PubMed. 18(3). 132–132. 3 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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