Donna Pinto

553 total citations
8 papers, 209 citations indexed

About

Donna Pinto is a scholar working on Cancer Research, Oncology and Surgery. According to data from OpenAlex, Donna Pinto has authored 8 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Oncology and 1 paper in Surgery. Recurrent topics in Donna Pinto's work include Breast Cancer Treatment Studies (5 papers), Global Cancer Incidence and Screening (3 papers) and Bone Tissue Engineering Materials (1 paper). Donna Pinto is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Global Cancer Incidence and Screening (3 papers) and Bone Tissue Engineering Materials (1 paper). Donna Pinto collaborates with scholars based in United States, United Kingdom and Netherlands. Donna Pinto's co-authors include Thomas Lynch, Deborah Collyar, Alastair M. Thompson, E. Shelley Hwang, Celia P. Kaplan, Shoshana M. Rosenberg, Antonia V. Bennett, Terry Hyslop, Elizabeth S. Frank and Ann H. Partridge and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The Analyst.

In The Last Decade

Donna Pinto

7 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donna Pinto United States	3	139	103	77	42	41	8	209
Victoria Skinner Netherlands	3	192 1.4×	148 1.4×	121 1.6×	50 1.2×	44 1.1×	4	271
Shu-Lian Wang China	4	106 0.8×	155 1.5×	52 0.7×	19 0.5×	39 1.0×	6	230
Paula Cabrera‐Galeana Mexico	10	155 1.1×	138 1.3×	36 0.5×	28 0.7×	50 1.2×	34	295
E O'Sullivan United Kingdom	4	86 0.6×	196 1.9×	45 0.6×	18 0.4×	66 1.6×	6	322
Visnja Fink Germany	9	145 1.0×	191 1.9×	35 0.5×	68 1.6×	71 1.7×	28	356
Nancy Tappenden United Kingdom	6	124 0.9×	252 2.4×	62 0.8×	21 0.5×	50 1.2×	7	356
Nina Tamirisa United States	8	271 1.9×	171 1.7×	141 1.8×	61 1.5×	52 1.3×	25	375
Eun-Shin Lee South Korea	8	112 0.8×	90 0.9×	46 0.6×	21 0.5×	17 0.4×	26	171
Angela Rezo Australia	9	109 0.8×	97 0.9×	76 1.0×	54 1.3×	75 1.8×	15	242
Wendy Wu China	10	118 0.8×	168 1.6×	45 0.6×	58 1.4×	80 2.0×	22	308

Countries citing papers authored by Donna Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Donna Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna Pinto

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Ozanne, Elissa M., Angela C. Tramontano, Thomas R. Lynch, et al.. (2024). Impact of an online decision support tool for ductal carcinoma in situ (DCIS) using a pre-post design (AFT-25). Breast Cancer Research. 26(1). 134–134.

Nallala, Jayakrupakar, Sarah E. Pinder, Lorraine King, et al.. (2022). A multi-modal exploration of heterogeneous physico–chemical properties of DCIS breast microcalcifications. The Analyst. 147(8). 1641–1654. 7 indexed citations

Lynch, Thomas, Deborah Collyar, Donna Pinto, et al.. (2022). Comparing an operation to monitoring, with or without endocrine therapy (COMET), for low-risk ductal carcinoma in situ (DCIS).. Journal of Clinical Oncology. 40(16_suppl). TPS616–TPS616. 2 indexed citations

Punglia, Rinaa S., Ann Partridge, Shelley Hwang, et al.. (2021). Abstract PD5-06: Impact of an online ductal carcinoma in situ (DCIS) decision support tool on awareness of treatment options and knowledge of breast cancer risks. Cancer Research. 81(4_Supplement). PD5–6. 1 indexed citations

Engelhardt, Ellen G., Frederieke van Duijnhoven, Maartje van Seijen, et al.. (2020). The impact of patient characteristics and lifestyle factors on the risk of an ipsilateral event after a primary DCIS: A systematic review. The Breast. 50. 95–103. 2 indexed citations

Collyar, Deborah, et al.. (2020). Abstract P1-16-04: How patient advocates and researchers work together in PRECISION* to identify low-risk ductal carcinoma in situ (DCIS) that may not need aggressive treatment. Cancer Research. 80(4_Supplement). P1–16. 1 indexed citations

Hwang, E. Shelley, Terry Hyslop, Thomas Lynch, et al.. (2019). The COMET (Comparison of Operative versus Monitoring and Endocrine Therapy) trial: a phase III randomised controlled clinical trial for low-risk ductal carcinoma in situ (DCIS). BMJ Open. 9(3). e026797–e026797. 190 indexed citations

Lynch, Thomas, Elizabeth S. Frank, Deborah Collyar, et al.. (2018). Comparison of operative to monitoring and endocrine therapy for low-risk DCIS (COMET study).. Journal of Clinical Oncology. 36(15_suppl). TPS599–TPS599. 6 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.

Explore authors with similar magnitude of impact