Sarit Schwartz

1.3k total citations
8 papers, 211 citations indexed

About

Sarit Schwartz is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sarit Schwartz has authored 8 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Sarit Schwartz's work include Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Sarit Schwartz is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Sarit Schwartz collaborates with scholars based in United States, Italy and United Kingdom. Sarit Schwartz's co-authors include Howard I. Scher, Sarat Chandarlapaty, José Baselga, Brett S. Carver, John Wongvipat, Charles L. Sawyers, Cath Trigwell, Neal Rosen, Elisa de Stanchina and Vanessa Rodrik-Outmezguine and has published in prestigious journals such as Journal of Clinical Oncology, Molecular Cell and Circulation Research.

In The Last Decade

Sarit Schwartz

7 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarit Schwartz United States 4 149 84 61 44 36 8 211
Dafna Kaufman United States 8 130 0.9× 59 0.7× 89 1.5× 39 0.9× 21 0.6× 10 257
Elena Lasorsa United States 8 177 1.2× 105 1.3× 108 1.8× 34 0.8× 22 0.6× 11 274
M. Campone France 8 79 0.5× 86 1.0× 128 2.1× 44 1.0× 14 0.4× 21 217
Carmen Chan United States 4 220 1.5× 75 0.9× 70 1.1× 59 1.3× 11 0.3× 8 279
Jason Glover United States 5 115 0.8× 79 0.9× 74 1.2× 72 1.6× 26 0.7× 8 243
Andy Futreal United States 6 134 0.9× 41 0.5× 87 1.4× 53 1.2× 26 0.7× 10 225
Dionysis Papadatos-Pastos United Kingdom 9 136 0.9× 73 0.9× 99 1.6× 56 1.3× 14 0.4× 20 278
J. Infante United States 8 156 1.0× 66 0.8× 137 2.2× 38 0.9× 30 0.8× 17 273
Lyndsey Hanson United Kingdom 7 204 1.4× 49 0.6× 85 1.4× 54 1.2× 16 0.4× 11 290
Carina Forsare Sweden 10 89 0.6× 76 0.9× 139 2.3× 111 2.5× 54 1.5× 14 272

Countries citing papers authored by Sarit Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Sarit Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarit Schwartz

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

All Works

8 of 8 papers shown
1.
Schwartz, Sarit, Yuan Tian, Franco Cecchi, et al.. (2018). The prognostic role of microsatellite status, tumor mutational burden, and protein expression in CRC.. Journal of Clinical Oncology. 36(4_suppl). 572–572. 2 indexed citations
2.
Schwartz, Sarit, Franco Cecchi, Yuan Tian, et al.. (2017). Selecting patients with metastatic colorectal cancer for treatment with temozolomide using proteomic analysis of MGMT. Annals of Oncology. 28. iii95–iii95. 3 indexed citations
3.
Schwartz, Sarit, Franco Cecchi, Yuan Tian, et al.. (2017). Selecting patients with metastatic colorectal cancer for treatment with temozolomide using proteomic analysis of MGMT.. Journal of Clinical Oncology. 35(15_suppl). 11601–11601. 1 indexed citations
4.
Schwartz, Sarit, et al.. (2017). Abstract 735: HER2 protein quantification in multiple cancer indications identifies candidates for HER2 targeted therapies. Cancer Research. 77(13_Supplement). 735–735.
5.
Litvin, Oren, Sarit Schwartz, Tanya Schild, et al.. (2015). Interferon α/β Enhances the Cytotoxic Response of MEK Inhibition in Melanoma. Molecular Cell. 57(5). 784–796. 26 indexed citations
6.
Schwartz, Sarit, John Wongvipat, Cath Trigwell, et al.. (2014). Feedback Suppression of PI3Kα Signaling in PTEN-Mutated Tumors Is Relieved by Selective Inhibition of PI3Kβ. Cancer Cell. 27(1). 109–122. 172 indexed citations
7.
Schwartz, Sarit, Brett S. Carver, John Wongvipat, et al.. (2014). Abstract 4774: The antitumor effects of PI3K beta inhibitors in PTEN negative prostate cancer are enhanced by inhibition of reactivated PI3K alpha signaling. Cancer Research. 74(19_Supplement). 4774–4774. 1 indexed citations
8.
Kaner, Robert J., Julio C. Medina, Andrew Nicholson, et al.. (1993). Developmentally regulated herpesvirus plaque formation in arterial smooth muscle cells.. Circulation Research. 73(1). 10–14. 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.

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