Joe Ensor

9.1k total citations · 1 hit paper
166 papers, 6.3k citations indexed

About

Joe Ensor is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joe Ensor has authored 166 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 47 papers in Surgery and 41 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joe Ensor's work include Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Cancer Genomics and Diagnostics (12 papers) and Cancer Treatment and Pharmacology (12 papers). Joe Ensor is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Cancer Genomics and Diagnostics (12 papers) and Cancer Treatment and Pharmacology (12 papers). Joe Ensor collaborates with scholars based in United States, China and United Kingdom. Joe Ensor's co-authors include Sanjay Gupta, Gabriel N. Hortobágyi, Christopher I. Amos, Constance Johnson, Derek J. Smolenski, Bernard Levin, Donald A. Berry, Caimiao Wei, Michael B. Wallace and Kartik Anand and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Joe Ensor

162 papers receiving 6.2k citations

Hit Papers

Meta-analyses of colorect... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joe Ensor 2.4k 1.9k 1.5k 1.3k 1.2k 166 6.3k
Zhengjia Chen 3.1k 1.3× 2.4k 1.3× 2.5k 1.6× 989 0.8× 1.2k 1.0× 267 8.3k
Ali Shamseddine 2.3k 1.0× 1.6k 0.9× 1.1k 0.7× 1.1k 0.9× 965 0.8× 249 5.6k
Muhammad Wasif Saif 4.6k 1.9× 1.9k 1.0× 1.4k 0.9× 889 0.7× 1.2k 1.0× 412 7.9k
Recinda Sherman 3.2k 1.3× 1.4k 0.7× 1.4k 0.9× 1.2k 0.9× 645 0.5× 58 6.8k
Dorte Nielsen 4.6k 1.9× 2.3k 1.2× 1.4k 0.9× 1.3k 1.1× 770 0.6× 278 7.8k
Hironobu Minami 4.5k 1.9× 2.7k 1.4× 1.7k 1.1× 834 0.7× 2.2k 1.8× 366 9.2k
Madappa N. Kundranda 2.4k 1.0× 2.5k 1.3× 1.4k 0.9× 1.5k 1.2× 901 0.7× 66 5.8k
Ingrid Pabinger 2.3k 1.0× 1.8k 1.0× 1.6k 1.0× 606 0.5× 2.5k 2.0× 541 20.3k
Nipun B. Merchant 5.0k 2.1× 1.7k 0.9× 2.0k 1.3× 1.1k 0.9× 2.1k 1.7× 212 7.7k
Stefano Rosso 2.8k 1.2× 1.1k 0.6× 1.6k 1.0× 823 0.7× 1.0k 0.8× 37 5.7k

Countries citing papers authored by Joe Ensor

Since Specialization
Citations

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

Fields of papers citing papers by Joe Ensor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Ensor

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

All Works

20 of 20 papers shown
2.
Kasi, Pashtoon Murtaza, Sakti Chakrabarti, Sarah Sawyer, et al.. (2022). BESPOKE IO protocol: a multicentre, prospective observational study evaluating the utility of ctDNA in guiding immunotherapy in patients with advanced solid tumours. BMJ Open. 12(5). e060342–e060342. 9 indexed citations
3.
Youssef, J.G., George J. Youssef, Sriram Padmanabhan, et al.. (2021). G6PD deficiency and severity of COVID19 pneumonia and acute respiratory distress syndrome: tip of the iceberg?. Annals of Hematology. 100(3). 667–673. 20 indexed citations
4.
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
5.
Anand, Kartik, Joe Ensor, Sai Ravi Pingali, et al.. (2020). T-cell lymphoma secondary to checkpoint inhibitor therapy. Journal for ImmunoTherapy of Cancer. 8(1). e000104–e000104. 33 indexed citations
6.
Burns, Ethan, Ibrahim N. Muhsen, John Rogers, et al.. (2020). Primary and Secondary Central Nervous System Lymphoma: Outcomes from Houston Methodist Cancer Center. Blood. 136(Supplement 1). 16–17.
7.
Lim, Bora, Juhee Song, Nuhad K. Ibrahim, et al.. (2020). A Randomized Phase II Study of Sequential Eribulin Versus Paclitaxel Followed by FAC/FEC as Neoadjuvant Therapy in Patients with Operable HER2-Negative Breast Cancer. The Oncologist. 26(2). e230–e240. 5 indexed citations
9.
Adam, Liana, F. Anthony San Lucas, Richard Fowler, et al.. (2018). DNA Sequencing of Small Bowel Adenocarcinomas Identifies Targetable Recurrent Mutations in the ERBB2 Signaling Pathway. Clinical Cancer Research. 25(2). 641–651. 19 indexed citations
10.
Parseghian, Christine M., Kanwal Raghav, Robert A. Wolff, et al.. (2017). Underreporting of Research Biopsies from Clinical Trials in Oncology. Clinical Cancer Research. 23(21). 6450–6457. 14 indexed citations
11.
Nan, Xinyu, Joe Ensor, Jasleen K. Randhawa, et al.. (2017). An Integer Weighted Genomic Mutation Score (GMS) Using Next Generation Sequencing Is Predictive of Prognosis in Intermediate Risk AML Patients. Blood. 130. 3940–3940. 1 indexed citations
12.
Patel, Asmita, et al.. (2017). Heparin-Induced Thrombocytopenia with Very High Antibody Titer Is Associated with Slower Platelet Recovery. Blood. 130. 3623–3623. 1 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.
Baek, Jong Min, Quanri Jin, Joe Ensor, Delphine R. Boulbés, & Francisco J. Esteva. (2011). Serum CD44 levels and overall survival in patients with HER2-positive breast cancer. Breast Cancer Research and Treatment. 130(3). 1029–1036. 21 indexed citations
15.
He, Xuexin, Francisco J. Esteva, Joe Ensor, et al.. (2011). Metformin and thiazolidinediones are associated with improved breast cancer-specific survival of diabetic women with HER2+ breast cancer. Annals of Oncology. 23(7). 1771–1780. 176 indexed citations
16.
Morrow, Phuong K., Gerburg M. Wulf, Joe Ensor, et al.. (2011). Phase I/II Study of Trastuzumab in Combination With Everolimus (RAD001) in Patients With HER2-Overexpressing Metastatic Breast Cancer Who Progressed on Trastuzumab-Based Therapy. Journal of Clinical Oncology. 29(23). 3126–3132. 167 indexed citations
17.
Neal, Christopher L., Jun Yao, Wentao Yang, et al.. (2009). 14-3-3ζ Overexpression Defines High Risk for Breast Cancer Recurrence and Promotes Cancer Cell Survival. Cancer Research. 69(8). 3425–3432. 158 indexed citations
18.
Gupta, Sanjay, Jorge Romaguera, Joe Ensor, et al.. (2009). CT‐guided percutaneous lung biopsies in patients with haematologic malignancies and undiagnosed pulmonary lesions. Hematological Oncology. 28(2). 75–81. 38 indexed citations
19.
Johnson, Constance, Joe Ensor, Christopher I. Amos, et al.. (2005). An Informatics Tool to Assess Individualized Colon Cancer Risk. Europe PMC (PubMed Central). 2005. 998. 2 indexed citations
20.
Ensor, Joe, et al.. (2000). Managed Care Insurance and Use of Higher-Mortality Hospitals. JAMA. 284(7). 829–829. 1 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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