Emmanuelle DiTomaso

1.8k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Emmanuelle DiTomaso is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Emmanuelle DiTomaso has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Emmanuelle DiTomaso's work include Advanced Breast Cancer Therapies (7 papers), Cancer Treatment and Pharmacology (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Emmanuelle DiTomaso is often cited by papers focused on Advanced Breast Cancer Therapies (7 papers), Cancer Treatment and Pharmacology (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Emmanuelle DiTomaso collaborates with scholars based in United States, Switzerland and Spain. Emmanuelle DiTomaso's co-authors include Rakesh K. Jain, Edward B. Brown, Alain Pluen, Yves Boucher, Brian Seed, Trevor D. McKee, Dai Fukumura, F.K. Winkler, Igor Garkavtsev and Li Xu and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Cancer Cell.

In The Last Decade

Emmanuelle DiTomaso

13 papers receiving 1.4k citations

Hit Papers

Dynamic imaging of collagen and its modulation in tumors ... 2003 2026 2010 2018 2003 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuelle DiTomaso United States 5 631 391 366 340 275 15 1.4k
Ashley M. Laughney United States 18 533 0.8× 389 1.0× 274 0.7× 362 1.1× 98 0.4× 34 1.3k
Juwell W. Wu United States 12 942 1.5× 470 1.2× 370 1.0× 625 1.8× 206 0.7× 24 3.1k
Eishu Hirata Japan 17 690 1.1× 206 0.5× 191 0.5× 441 1.3× 127 0.5× 37 1.4k
Philippe Martinive Belgium 22 579 0.9× 238 0.6× 472 1.3× 348 1.0× 61 0.2× 40 1.8k
Manja Wobus Germany 23 864 1.4× 484 1.2× 182 0.5× 326 1.0× 98 0.4× 68 2.1k
Uri Weinberg Switzerland 18 494 0.8× 676 1.7× 161 0.4× 311 0.9× 125 0.5× 114 1.8k
Clemens Alt United States 16 584 0.9× 297 0.8× 278 0.8× 178 0.5× 115 0.4× 38 1.6k
Г. В. Шаронов Russia 23 729 1.2× 181 0.5× 131 0.4× 449 1.3× 88 0.3× 66 1.7k
Ryan M. Lanning United States 16 521 0.8× 1.1k 2.9× 181 0.5× 292 0.9× 275 1.0× 30 2.3k
Costas Pitsillides United States 18 552 0.9× 630 1.6× 105 0.3× 330 1.0× 130 0.5× 32 1.8k

Countries citing papers authored by Emmanuelle DiTomaso

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle DiTomaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle DiTomaso

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

All Works

15 of 15 papers shown
1.
Pelekanou, Vasiliki, Andreas Schlicker, Ekaterina Nevedomskaya, et al.. (2023). Development of machine learning–powered models for prostate cancer HRD prediction.. Journal of Clinical Oncology. 41(6_suppl). 206–206.
2.
O’Brien, Neil A., Martina S.J. McDermott, Dylan Conklin, et al.. (2020). Targeting activated PI3K/mTOR signaling overcomes acquired resistance to CDK4/6-based therapies in preclinical models of hormone receptor-positive breast cancer. Breast Cancer Research. 22(1). 89–89. 87 indexed citations
3.
O’Brien, Neil A., Dylan Conklin, Alex Gaither, et al.. (2019). Abstract 3825: Targeting activated PI3K/mTOR signaling overcomes resistance to CDK4/6-based therapies in preclinical ER+ breast cancer models. 3825–3825. 1 indexed citations
4.
O’Brien, Neil A., Martina S.J. McDermott, Dylan Conklin, et al.. (2019). Abstract 3825: Targeting activated PI3K/mTOR signaling overcomes resistance to CDK4/6-based therapies in preclinical ER+ breast cancer models. Cancer Research. 79(13_Supplement). 3825–3825. 1 indexed citations
5.
Shapiro, Geoffrey I., Kyriakos P. Papadopoulos, T. Khanh, et al.. (2018). Trial design of a first-in-human phase 1 evaluation of SY-1365, a first-in-class selective CDK7 inhibitor, with initial expansions in ovarian and breast cancer.. Journal of Clinical Oncology. 36(15_suppl). TPS2600–TPS2600. 3 indexed citations
6.
O’Brien, Neil A., Dylan Conklin, Tong Luo, et al.. (2017). Abstract 4150: Anti-tumor activity of the PI3K/mTOR pathway inhibitors alpelisib (BYL719) and everolimus (RAD001) in xenograft models of acquired resistance to CDK-4/6 targeted therapy. Cancer Research. 77(13_Supplement). 4150–4150. 4 indexed citations
8.
Maire, Cécile L., Shakti Ramkissoon, Sam Haidar, et al.. (2013). Pten Loss in Olig2 Expressing Neural Progenitor Cells and Oligodendrocytes Leads to Interneuron Dysplasia and Leukodystrophy. Stem Cells. 32(1). 313–326. 20 indexed citations
10.
Wen, Patrick Y., W. K. Alfred Yung, Ingo K. Mellinghoff, et al.. (2013). Phase II trial of the phosphatidyinositol-3 kinase (PI3K) inhibitor BKM120 in recurrent glioblastoma (GBM).. Journal of Clinical Oncology. 31(15_suppl). 2015–2015. 4 indexed citations
11.
Saura, Cristina, Johanna C. Bendell, Guy Jérusalem, et al.. (2011). PD09-03: Phase I/II Study of BKM120 in Combination with Trastuzumab in Patients with HER2 Overexpressing Metastatic Breast Cancer Resistant to Trastuzumab-Containing Therapy.. Cancer Research. 71(24_Supplement). PD09–3. 4 indexed citations
12.
Xu, Ling, Emmanuelle DiTomaso, Yves Boucher, et al.. (2008). Correlation of blood and physiologic markers with effect of bevacizumab (BV) with chemoradiation therapy in rectal cancer (RC). Journal of Clinical Oncology. 26(15_suppl). 4096–4096. 2 indexed citations
13.
DiTomaso, Emmanuelle, et al.. (2007). Correlation between VEGF expression and MVD in sporadic and NF2-related schwannomas. Journal of Clinical Oncology. 25(18_suppl). 2083–2083. 1 indexed citations
14.
Winkler, F.K., Sergey V. Kozin, R. Tong, et al.. (2004). Kinetics of vascular normalization by VEGFR2 blockade governs brain tumor response to radiationRole of oxygenation, angiopoietin-1, and matrix metalloproteinases. Cancer Cell. 6(6). 553–563. 560 indexed citations breakdown →
15.
Brown, Edward B., Trevor D. McKee, Emmanuelle DiTomaso, et al.. (2003). Dynamic imaging of collagen and its modulation in tumors in vivo using second-harmonic generation. Nature Medicine. 9(6). 796–800. 688 indexed citations breakdown →

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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