Ramon E. Sosa

2.3k total citations
23 papers, 961 citations indexed

About

Ramon E. Sosa is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ramon E. Sosa has authored 23 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Reproductive Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ramon E. Sosa's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Ovarian cancer diagnosis and treatment (8 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Ramon E. Sosa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Ovarian cancer diagnosis and treatment (8 papers) and Endometrial and Cervical Cancer Treatments (6 papers). Ramon E. Sosa collaborates with scholars based in United States, France and Switzerland. Ramon E. Sosa's co-authors include Hebert Alberto Vargas, Hedvig Hricak, Evis Sala, Stéphanie Nougaret, Yulia Lakhman, Robert A. Soslow, Harini Veeraraghavan, Nadeem R. Abu‐Rustum, Maura Miccò and Debra A. Goldman and has published in prestigious journals such as Journal of Clinical Oncology, Cell Metabolism and Cancer Research.

In The Last Decade

Ramon E. Sosa

23 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramon E. Sosa United States 17 546 311 258 193 165 23 961
Kathy R. Brandt United States 12 319 0.6× 233 0.7× 223 0.9× 20 0.1× 163 1.0× 22 845
Andrew B. Gill United Kingdom 14 448 0.8× 82 0.3× 47 0.2× 102 0.5× 172 1.0× 33 734
Mathias K. Fehr Switzerland 22 284 0.5× 104 0.3× 100 0.4× 32 0.2× 517 3.1× 69 1.6k
Kathrin A. Frei Switzerland 11 203 0.4× 365 1.2× 451 1.7× 32 0.2× 43 0.3× 13 784
A S K Dzik-Jurasz United Kingdom 15 805 1.5× 27 0.1× 35 0.1× 118 0.6× 97 0.6× 29 1.1k
N. Jane Taylor United Kingdom 26 2.0k 3.6× 57 0.2× 59 0.2× 25 0.1× 372 2.3× 48 2.7k
Erik A. Boss Netherlands 13 142 0.3× 237 0.8× 329 1.3× 26 0.1× 50 0.3× 22 776
Michiel Simons Netherlands 12 37 0.1× 162 0.5× 63 0.2× 38 0.2× 84 0.5× 32 500
G.O.N. Oosterhof Netherlands 25 824 1.5× 48 0.2× 74 0.3× 60 0.3× 1.3k 8.0× 62 2.5k
Janio Szklaruk United States 14 321 0.6× 61 0.2× 62 0.2× 10 0.1× 285 1.7× 34 1.1k

Countries citing papers authored by Ramon E. Sosa

Since Specialization
Citations

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

Fields of papers citing papers by Ramon E. Sosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramon E. Sosa. 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 Ramon E. Sosa. The network helps show where Ramon E. Sosa may publish in the future.

Co-authorship network of co-authors of Ramon E. Sosa

This figure shows the co-authorship network connecting the top 25 collaborators of Ramon E. Sosa. A scholar is included among the top collaborators of Ramon E. Sosa 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 Ramon E. Sosa. Ramon E. Sosa 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.
Homsi, Maria El, ‬David D. B. Bates, Yousef Mazaheri, et al.. (2022). Multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE) in diffusion-weighted imaging for rectal MRI: a quantitative and qualitative analysis at multiple b-values. Abdominal Radiology. 48(2). 448–457. 9 indexed citations
2.
Horvat, Natally, Harini Veeraraghavan, Caio Sérgio Rizkallah Nahas, et al.. (2022). Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdominal Radiology. 47(8). 2770–2782. 24 indexed citations
3.
Luo, Jia, R. Vanguri, Jacklynn V. Egger, et al.. (2022). Multimodal integration of radiology, pathology, and genomics for prediction of response to PD-1 blockade in patients with non–small cell lung cancer.. Journal of Clinical Oncology. 40(16_suppl). 9064–9064. 3 indexed citations
4.
Jayaprakasam, Vetri Sudar, Peter Gibbs, Natalie Gangai, et al.. (2022). Can 18F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?. Cancers. 14(12). 3035–3035. 8 indexed citations
5.
Jayaprakasam, Vetri Sudar, Viktoriya Paroder, Peter Gibbs, et al.. (2021). MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer. European Radiology. 32(2). 971–980. 57 indexed citations
6.
Granlund, Kristin L., Sui Seng Tee, Hebert Alberto Vargas, et al.. (2019). Hyperpolarized MRI of Human Prostate Cancer Reveals Increased Lactate with Tumor Grade Driven by Monocarboxylate Transporter 1. Cell Metabolism. 31(1). 105–114.e3. 95 indexed citations
7.
Miloushev, Vesselin Z., Kristin L. Granlund, Rostislav Boltyanskiy, et al.. (2018). Metabolic Imaging of the Human Brain with Hyperpolarized 13C Pyruvate Demonstrates 13C Lactate Production in Brain Tumor Patients. Cancer Research. 78(14). 3755–3760. 176 indexed citations
8.
Hötker, Andreas M., Andreas Meier, Yousef Mazaheri, et al.. (2018). Temporal changes in MRI appearance of the prostate after focal ablation. Abdominal Radiology. 44(1). 272–278. 13 indexed citations
9.
Meier, Andreas, Harini Veeraraghavan, Stéphanie Nougaret, et al.. (2018). Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer. Abdominal Radiology. 44(6). 2040–2047. 47 indexed citations
10.
Vargas, Hebert Alberto, Harini Veeraraghavan, Maura Miccò, et al.. (2017). A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome. European Radiology. 27(9). 3991–4001. 88 indexed citations
11.
McEvoy, Sinéad H., Stéphanie Nougaret, Nadeem R. Abu‐Rustum, et al.. (2017). Fertility-sparing for young patients with gynecologic cancer: How MRI can guide patient selection prior to conservative management. Abdominal Radiology. 42(10). 2488–2512. 31 indexed citations
12.
Robertson, Nicola L., Hedvig Hricak, Yukio Sonoda, et al.. (2016). The impact of FDG-PET/CT in the management of patients with vulvar and vaginal cancer. Gynecologic Oncology. 140(3). 420–424. 38 indexed citations
13.
Halpenny, Darragh, Jane Cunningham, Niamh M. Long, Ramon E. Sosa, & Michelle S. Ginsberg. (2016). Patients with a Previous History of Malignancy Undergoing Lung Cancer Screening: Clinical Characteristics and Radiologic Findings. Journal of Thoracic Oncology. 11(9). 1447–1452. 11 indexed citations
14.
Vargas, Hebert Alberto, Rachel Schor-Bardach, Niamh M. Long, et al.. (2016). Prostate cancer bone metastases on staging prostate MRI: prevalence and clinical features associated with their diagnosis. Abdominal Radiology. 42(1). 271–277. 16 indexed citations
15.
Lakhman, Yulia, Harini Veeraraghavan, Joshua Chaim, et al.. (2016). Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis. European Radiology. 27(7). 2903–2915. 116 indexed citations
16.
Lakhman, Yulia, Stéphanie Nougaret, Maura Miccò, et al.. (2015). Role of MR Imaging and FDG PET/CT in Selection and Follow-up of Patients Treated with Pelvic Exenteration for Gynecologic Malignancies. Radiographics. 35(4). 1295–1313. 18 indexed citations
17.
Lakhman, Yulia, Melvin D’Anastasi, Maura Miccò, et al.. (2015). Second-Opinion Interpretations of Gynecologic Oncologic MRI Examinations by Sub-Specialized Radiologists Influence Patient Care. European Radiology. 26(7). 2089–2098. 44 indexed citations
18.
Vargas, Hebert Alberto, Irene A. Burger, Debra A. Goldman, et al.. (2015). Volume-based quantitative FDG PET/CT metrics and their association with optimal debulking and progression-free survival in patients with recurrent ovarian cancer undergoing secondary cytoreductive surgery. European Radiology. 25(11). 3348–3353. 36 indexed citations
19.
Lakhman, Yulia, Seth S. Katz, Debra A. Goldman, et al.. (2015). Diagnostic Performance of Computed Tomography for Preoperative Staging of Patients with Non-endometrioid Carcinomas of the Uterine Corpus. Annals of Surgical Oncology. 23(4). 1271–1278. 5 indexed citations
20.
Wibmer, Andreas G., Hebert Alberto Vargas, Ramon E. Sosa, et al.. (2014). Value of a Standardized Lexicon for Reporting Levels of Diagnostic Certainty in Prostate MRI. American Journal of Roentgenology. 203(6). W651–W657. 34 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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