Gal Dinstag

483 total citations
11 papers, 59 citations indexed

About

Gal Dinstag is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Gal Dinstag has authored 11 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Gal Dinstag's work include Cancer Genomics and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Bioinformatics and Genomic Networks (3 papers). Gal Dinstag is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Bioinformatics and Genomic Networks (3 papers). Gal Dinstag collaborates with scholars based in Israel, United States and Australia. Gal Dinstag's co-authors include Ron Shamir, Tuvik Beker, Erik Ingelsson, Kenneth Aldape, Raanan Berger, Razelle Kurzrock, Eyal Schiff, Ranit Aharonov, David Amar and Eytan Ruppin and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Gal Dinstag

9 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gal Dinstag Israel	4	37	28	13	7	7	11	59
Marc Pollitt United Kingdom	2	44 1.2×	21 0.8×	6 0.5×	10 1.4×	5 0.7×	2	58
Mustafa Deryal Germany	4	32 0.9×	19 0.7×	23 1.8×	7 1.0×	14 2.0×	12	66
Antoine de Weck Switzerland	4	40 1.1×	15 0.5×	14 1.1×	5 0.7×	7 1.0×	5	65
Mahmoud Charif United States	4	35 0.9×	21 0.8×	30 2.3×	9 1.3×	11 1.6×	10	62
Sebastian Vaughan United Kingdom	4	47 1.3×	19 0.7×	15 1.2×	10 1.4×	8 1.1×	4	75
Istemi Bahceci Türkiye	2	38 1.0×	14 0.5×	14 1.1×	12 1.7×	3 0.4×	3	65
Qian‐Wen Zheng China	6	46 1.2×	23 0.8×	10 0.8×	13 1.9×	2 0.3×	8	88
Jule Harbig Germany	3	107 2.9×	23 0.8×	17 1.3×	8 1.1×	12 1.7×	3	136

Countries citing papers authored by Gal Dinstag

Since Specialization

Citations

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

Fields of papers citing papers by Gal Dinstag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Dinstag

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

All Works

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11 of 11 papers shown

Dinstag, Gal, Yaron Kinar, Yakir Rottenberg, et al.. (2025). Predictive value of ENLIGHT-DP in patients with metastatic lung adenocarcinoma treated with immune checkpoint inhibitors and platinum chemotherapy directly from histopathology slides using inferred transcriptomics. Journal for ImmunoTherapy of Cancer. 13(1). e010132–e010132. 1 indexed citations

Dinstag, Gal, et al.. (2025). Prediction of clinical outcomes of immune checkpoint inhibitors in advanced head and neck cancer directly from histopathology slides using inferred transcriptomics. Oral Oncology. 168. 107536–107536.

Dinstag, Gal, B. Chayen, Yaron Kinar, et al.. (2025). Predication of clinical outcomes of advanced cutaneous squamous cell carcinoma to PD1 inhibition directly from histopathology slides using inferred transcriptomics.. Journal of Clinical Oncology. 43(16_suppl). 2630–2630.

Dinstag, Gal, Kenneth Aldape, Eytan Ruppin, et al.. (2023). 157 A transcriptomics-based response predictor identifies potential responders among patients with negative standard markers for response to immune checkpoint blockers. SHILAP Revista de lepidopterología. A177–A177. 1 indexed citations

Dinstag, Gal, Leandro C. Hermida, Chani Stossel, et al.. (2023). Prediction of cancer treatment response from histopathology images through imputed transcriptomics.. Journal of Clinical Oncology. 41(16_suppl). 1551–1551. 3 indexed citations

Aharonov, Ranit, Gal Dinstag, Eldad D. Shulman, et al.. (2023). Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome.. Journal of Clinical Oncology. 41(16_suppl). 1553–1553. 1 indexed citations

Hermida, Leandro C., Gal Dinstag, Sanju Sinha, et al.. (2022). Predicting patient response to cancer therapy via histopathology images.. Journal of Clinical Oncology. 40(16_suppl). e13561–e13561. 1 indexed citations

Berger, Raanan, Gal Dinstag, Eyal Schiff, et al.. (2022). Fibrolamellar carcinoma transcriptomic-based treatment prediction: complete response after nivolumab and ipilimumab. Journal for ImmunoTherapy of Cancer. 10(12). e005620–e005620. 9 indexed citations

Aharonov, Ranit, Gal Dinstag, Eldad D. Shulman, et al.. (2022). ENLIGHT: Pancancer response prediction to targeted and immunotherapies via tumor transcriptomics.. Journal of Clinical Oncology. 40(16_suppl). e13556–e13556. 1 indexed citations

10.

Dinstag, Gal & Ron Shamir. (2019). PRODIGY: personalized prioritization of driver genes. Bioinformatics. 36(6). 1831–1839. 38 indexed citations

11.

Dinstag, Gal, David Amar, Erik Ingelsson, Euan A. Ashley, & Ron Shamir. (2019). Personalized prediction of adverse heart and kidney events using baseline and longitudinal data from SPRINT and ACCORD. PLoS ONE. 14(8). e0219728–e0219728. 4 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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