Ramón Correa

1.3k total citations
30 papers, 526 citations indexed

About

Ramón Correa is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Artificial Intelligence. According to data from OpenAlex, Ramón Correa has authored 30 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Ramón Correa's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (5 papers). Ramón Correa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (5 papers). Ramón Correa collaborates with scholars based in United States, Canada and Chile. Ramón Correa's co-authors include Pallavi Tiwari, Virginia Hill, Niha Beig, Anant Madabhushi, Kaustav Bera, Prateek Prasanna, Manmeet S. Ahluwalia, Volodymyr Statsevych, Salendra Singh and Ruchika Verma and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Ramón Correa

27 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramón Correa United States 11 372 198 110 93 85 30 526
Erica Pollack United States 8 355 1.0× 119 0.6× 71 0.6× 106 1.1× 47 0.6× 20 562
Khaled Bousabarah United States 11 312 0.8× 93 0.5× 143 1.3× 48 0.5× 73 0.9× 29 492
Khashayar Namdar Canada 10 280 0.8× 86 0.4× 109 1.0× 81 0.9× 71 0.8× 26 470
Martijn P. A. Starmans Netherlands 12 287 0.8× 56 0.3× 168 1.5× 59 0.6× 63 0.7× 29 401
Sara Ahmed United States 9 244 0.7× 75 0.4× 53 0.5× 40 0.4× 59 0.7× 33 362
Brian Hrycushko United States 15 406 1.1× 46 0.2× 240 2.2× 64 0.7× 124 1.5× 54 742
Tanja Schneider Germany 10 195 0.5× 77 0.4× 116 1.1× 22 0.2× 53 0.6× 25 428
Adrien Holzgreve Germany 12 278 0.7× 202 1.0× 164 1.5× 17 0.2× 34 0.4× 76 518

Countries citing papers authored by Ramón Correa

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramón Correa

This figure shows the co-authorship network connecting the top 25 collaborators of Ramón Correa. A scholar is included among the top collaborators of Ramón Correa 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 Ramón Correa. Ramón Correa 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
1.
Ruiz, Jenny, et al.. (2024). The impact of language discordance on pediatric cancer care outcomes: A systematic review. Pediatric Blood & Cancer. 71(12). e31338–e31338. 2 indexed citations
2.
Correa, Ramón, Jiwoong Jeong, Bhavik N. Patel, Imon Banerjee, & Haidar Abdul‐Muhsin. (2024). Automated Analysis of Split Kidney Function from CT Scans Using Deep Learning and Delta Radiomics. Journal of Endourology. 38(8). 817–823.
3.
4.
Correa, Ramón, Rish K. Pai, Daniel D. Buchanan, et al.. (2024). Causal debiasing for unknown bias in histopathology—A colon cancer use case. PLoS ONE. 19(11). e0303415–e0303415.
5.
Correa, Ramón, et al.. (2023). Efficient adversarial debiasing with concept activation vector — Medical image case-studies. Journal of Biomedical Informatics. 149. 104548–104548. 9 indexed citations
6.
Jeong, Jiwoong, Ananth Reddy Bhimireddy, Thomas J. Kim, et al.. (2023). The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Radiology Artificial Intelligence. 5(1). e220047–e220047. 38 indexed citations
7.
8.
Verma, Ruchika, Virginia Hill, Volodymyr Statsevych, et al.. (2022). Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study. American Journal of Neuroradiology. 43(8). 1115–1123. 15 indexed citations
9.
10.
Kathiravelu, Pradeeban, Elhadj Benkhelifa, Zachary Zaiman, et al.. (2022). Networking Research Innovations for Telesurgery: A Systematic Review. 1–8. 1 indexed citations
11.
12.
Beig, Niha, Kaustav Bera, Prateek Prasanna, et al.. (2020). Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma. Clinical Cancer Research. 26(8). 1866–1876. 92 indexed citations
13.
Pati, Sarthak, Ruchika Verma, Hamed Akbari, et al.. (2020). Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset. Medical Physics. 47(12). 6039–6052. 28 indexed citations
14.
Ismail, Marwa, Virginia Hill, Volodymyr Statsevych, et al.. (2020). Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study. Frontiers in Computational Neuroscience. 14. 563439–563439. 3 indexed citations
15.
Ismail, Marwa, Virginia Hill, Volodymyr Statsevych, et al.. (2018). Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study. American Journal of Neuroradiology. 39(12). 2187–2193. 74 indexed citations
16.
Beig, Niha, Jay Patel, Prateek Prasanna, et al.. (2018). Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Scientific Reports. 8(1). 7–7. 114 indexed citations
17.
Beig, Niha, Ramón Correa, Rajat Thawani, et al.. (2017). MEDU-48. MRI TEXTURAL FEATURES CAN DIFFERENTIATE PEDIATRIC POSTERIOR FOSSA TUMORS. Neuro-Oncology. 19(suppl_4). iv47–iv47. 1 indexed citations
18.
González, G., et al.. (2015). Kidney transplant in pediatric patients with severe bladder pathology. Pediatric Transplantation. 19(7). 675–683. 8 indexed citations
19.
Hoskins, Paul, et al.. (2010). CA 125 normalization with chemotherapy is independently predictive of survival in advanced endometrial cancer. Gynecologic Oncology. 120(1). 52–55. 10 indexed citations
20.
Silva, Orlando de Castro e, et al.. (2008). Autofluorescence Spectroscopy in Liver Transplantation: Preliminary Results From a Pilot Clinical Study. Transplantation Proceedings. 40(3). 722–725. 23 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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