Tejal Patel

1.3k total citations
15 papers, 571 citations indexed

About

Tejal Patel is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Tejal Patel has authored 15 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Tejal Patel's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Breast Cancer Treatment Studies (3 papers). Tejal Patel is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Breast Cancer Treatment Studies (3 papers). Tejal Patel collaborates with scholars based in United States, New Zealand and Germany. Tejal Patel's co-authors include Jenny C. Chang, Dirk Jaeger, Niels Halama, Angel Rodriguez, Richard G. Pestell, Xuanmao Jiao, Andrew V. Kossenkov, Joe Ensor, Heidi L. Weiss and Bhuvanesh Dave and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Tejal Patel

15 papers receiving 562 citations

Peers

Tejal Patel
Jing Jing China
Yuichiro Miyamoto Japan
Narumi Harada‐Shoji Japan
Ryan Deaton United States
Asier Antoranz Belgium
Kübra Karagoz United States
Khadijeh Barzaman Iran
Shixiu Wu China
Larry Hayward United Kingdom
Bozhi Shi China
Jing Jing China
Tejal Patel
Citations per year, relative to Tejal Patel Tejal Patel (= 1×) peers Jing Jing

Countries citing papers authored by Tejal Patel

Since Specialization
Citations

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

Fields of papers citing papers by Tejal Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejal Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Tejal Patel. A scholar is included among the top collaborators of Tejal Patel 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 Tejal Patel. Tejal Patel 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.
Patel, Tejal, Virginia Kaklamani, Maryam Elmi, et al.. (2023). A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms. Radiology Artificial Intelligence. 5(6). e220259–e220259. 6 indexed citations
2.
3.
Niravath, Polly, Joe Ensor, Tejal Patel, et al.. (2021). ANETT: PhAse II trial of NEoadjuvant TAK-228 plus Tamoxifen in patients with hormone receptor-positive breast cancer. Breast Cancer Research and Treatment. 188(2). 433–439. 6 indexed citations
4.
Anand, Kartik, Tejal Patel, Polly Niravath, et al.. (2021). Targeting mTOR and DNA repair pathways in residual triple negative breast cancer post neoadjuvant chemotherapy. Scientific Reports. 11(1). 82–82. 25 indexed citations
5.
Sun, Kai, Joe Ensor, Yitian Xu, et al.. (2021). A phase II trial of stereotactic radiation therapy and in situ oncolytic virus therapy in metastatic triple-negative breast cancer (mTNBC) patients followed by pembrolizumab (STOMP).. Journal of Clinical Oncology. 39(15_suppl). 1079–1079. 5 indexed citations
6.
Heather, Natasha, et al.. (2020). Measurement of 17-Hydroxyprogesterone by LCMSMS Improves Newborn Screening for CAH Due to 21-Hydroxylase Deficiency in New Zealand. International Journal of Neonatal Screening. 6(1). 6–6. 17 indexed citations
7.
He, Tiancheng, Mamta Puppala, Xiaohui Yu, et al.. (2019). A Deep Learning–Based Decision Support Tool for Precision Risk Assessment of Breast Cancer. JCO Clinical Cancer Informatics. 3(3). 1–12. 30 indexed citations
8.
Ensor, Joe, Jorge Darcourt, Anna Belcheva, et al.. (2019). Abstract CT052: A Phase Ib and II clinical trial investigating the efficacy of nitric oxide deprivation and docetaxel in triple negative breast cancer. Cancer Research. 79(13_Supplement). CT052–CT052. 3 indexed citations
9.
Lewis, Gary D., Yan Xing, Waqar Haque, et al.. (2019). Prognosis of lymphotropic invasive micropapillary breast carcinoma analyzed by using data from the National Cancer Database. Cancer Communications. 39(1). 60–60. 23 indexed citations
10.
Jiao, Xuanmao, Tejal Patel, Andrew V. Kossenkov, et al.. (2019). Recent Advances Targeting CCR5 for Cancer and Its Role in Immuno-Oncology. Cancer Research. 79(19). 4801–4807. 172 indexed citations
11.
Lewis, Gary D., Yan Xing, Tejal Patel, et al.. (2017). (P008) Impact of Radiotherapy on Lymphotropic Invasive Micropapillary Carcinoma of the Breast: An Analysis From the National Cancer Data Base. International Journal of Radiation Oncology*Biology*Physics. 98(2). E17–E17. 2 indexed citations
12.
Patel, Tejal, Mamta Puppala, Joe Ensor, et al.. (2016). Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods. Cancer. 123(1). 114–121. 48 indexed citations
13.
Liang, Diana H., Joe Ensor, Asmita Patel, et al.. (2015). Cell-free DNA as a molecular tool for monitoring disease progression and response to therapy in breast cancer patients. Breast Cancer Research and Treatment. 155(1). 139–149. 46 indexed citations
14.
Granados‐Principal, Sergio, Yi Liu, María L. Guevara, et al.. (2015). Inhibition of iNOS as a novel effective targeted therapy against triple-negative breast cancer. Breast Cancer Research. 17(1). 25–25. 175 indexed citations
15.
Awada, Ahmad, Guy Jérusalem, Robert E. Coleman, et al.. (2010). Significant efficacy in a phase 2 study of NKTR-102, a novel polymer conjugate of Irinotecan, in patients with pre-treated metastatic breast cancer (MBC). Open Repository and Bibliography (University of Liège). 70(24). 2 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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