Yaron Kinar

1.0k total citations
15 papers, 663 citations indexed

About

Yaron Kinar is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Yaron Kinar has authored 15 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Yaron Kinar's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Gastric Cancer Management and Outcomes (3 papers). Yaron Kinar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Gastric Cancer Management and Outcomes (3 papers). Yaron Kinar collaborates with scholars based in Israel, United States and Canada. Yaron Kinar's co-authors include Gideon Rechavi, Eli Eisenberg, Erez Y. Levanon, Ran Goshen, Michael K. Gould, Martin C. Tammemägi, Brian Z. Huang, Varda Shalev, Sergey Nemzer and Rotem Sorek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Yaron Kinar

13 papers receiving 647 citations

Peers

Yaron Kinar

ONCOL

RNMI

PRM

Ken Takasawa Japan

Behnaz Abdollahi United States

Gabriela Quiroga‐Garza United States

Kevin Boehm United States

Matthias A. Fink Germany

Geoffrey Smith United States

Beibei Jiang China

Sungwon Lee South Korea

Ying Su China

Nikolas Stathonikos Netherlands

Ken Takasawa Japan

Yaron Kinar

264 ×1.0

50 ×0.3

ONCOL

188 ×1.2

RNMI

142 ×1.1

69 ×0.6

PRM

Citations per year, relative to Yaron Kinar Yaron Kinar (= 1×) peers Ken Takasawa

Countries citing papers authored by Yaron Kinar

Since Specialization

Citations

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

Fields of papers citing papers by Yaron Kinar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaron Kinar

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

All Works

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15 of 15 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.

Cha, Yong‐Mei, Zachi I. Attia, Francisco Lopez‐Jimenez, et al.. (2024). Machine learning for prediction of ventricular arrhythmia episodes from intracardiac electrograms of automatic implantable cardioverter-defibrillators. Heart Rhythm. 21(11). 2295–2302. 4 indexed citations

Wolk, Donna M., Maheen Shermohammed, Yaron Kinar, et al.. (2022). Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications. Journal of Clinical Medicine. 11(15). 4342–4342. 7 indexed citations

Gould, Michael K., et al.. (2021). Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data. American Journal of Respiratory and Critical Care Medicine. 204(4). 445–453. 97 indexed citations

Zack, Chad, Conor Senecal, Yaron Kinar, et al.. (2019). Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention. JACC: Cardiovascular Interventions. 12(14). 1304–1311. 59 indexed citations

Goshen, Ran, Barak Mizrahi, Yaron Kinar, et al.. (2017). Predicting the presence of colon cancer in members of a health maintenance organisation by evaluating analytes from standard laboratory records. British Journal of Cancer. 116(7). 944–950. 18 indexed citations

Kinar, Yaron, Pinchas Akiva, Revital Kariv, et al.. (2017). Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer. PLoS ONE. 12(2). e0171759–e0171759. 45 indexed citations

10.

Hornbrook, Mark C., et al.. (2017). Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data. Digestive Diseases and Sciences. 62(10). 2719–2727. 86 indexed citations

11.

Kinar, Yaron, Nir Kalkstein, Pinchas Akiva, et al.. (2016). Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study. Journal of the American Medical Informatics Association. 23(5). 879–890. 86 indexed citations

12.

Kalkstein, Nir, et al.. (2011). Using machine learning to detect problems in ECG data collection. 437–440. 19 indexed citations

13.

Paz-Yaacov, Nurit, Erez Y. Levanon, Eviatar Nevo, et al.. (2010). Adenosine-to-inosine RNA editing shapes transcriptome diversity in primates. Proceedings of the National Academy of Sciences. 107(27). 12174–12179. 130 indexed citations

14.

Helpman, Limor, Ben‐Zion Katz, Tamar Safra, et al.. (2009). Systematic antigenic profiling of hematopoietic antigens on ovarian carcinoma cells identifies membrane proteins for targeted therapy development. American Journal of Obstetrics and Gynecology. 201(2). 196.e1–196.e7. 6 indexed citations

15.

Eisenberg, Eli, Sergey Nemzer, Yaron Kinar, et al.. (2004). Is abundant A-to-I RNA editing primate-specific?. Trends in Genetics. 21(2). 77–81. 105 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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