Frederico Souza

444 total citations
22 papers, 320 citations indexed

About

Frederico Souza is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Frederico Souza has authored 22 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Frederico Souza's work include Sarcoma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Renal cell carcinoma treatment (4 papers). Frederico Souza is often cited by papers focused on Sarcoma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Renal cell carcinoma treatment (4 papers). Frederico Souza collaborates with scholars based in United States and Brazil. Frederico Souza's co-authors include Andrew D. Smith, Nikhil H. Ramaiya, Stuart G. Silverman, Katherine M. Krajewski, Reza Sirous, Şükrü Mehmet Ertürk, Koenraad J. Mortelé, Edmund S. Cibas, Jyothi P. Jagannathan and Amit Vasanji and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Frederico Souza

22 papers receiving 316 citations

Peers

Frederico Souza

PRM

SURGE

RHEUM

ONCOL

EPIDE

Shunsuke Sugawara Japan

I Zuber-Jerger Germany

Nikolaos Ptohis Greece

Leonardo P. Marcal United States

Luca Moraldi Italy

Irene Piscioli Italy

Koya Nakatani Japan

Toru Muranaka Japan

Muhammad Imran Aslam United Kingdom

Guillaume Gravel France

Shunsuke Sugawara Japan

Frederico Souza

134 ×1.0

PRM

166 ×1.7

SURGE

27 ×0.4

RHEUM

67 ×1.0

ONCOL

41 ×0.7

EPIDE

Citations per year, relative to Frederico Souza Frederico Souza (= 1×) peers Shunsuke Sugawara

Countries citing papers authored by Frederico Souza

Since Specialization

Citations

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

Fields of papers citing papers by Frederico Souza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederico Souza

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

All Works

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20 of 20 papers shown

1.

Smith, Andrew D., Xu Zhang, Jason Bryan, et al.. (2016). Vascular Tumor Burden as a New Quantitative CT Biomarker for Predicting Metastatic RCC Response to Antiangiogenic Therapy. Radiology. 281(2). 484–498. 21 indexed citations

2.

Sirous, Reza, et al.. (2016). Metastatic renal cell carcinoma imaging evaluation in the era of anti-angiogenic therapies. Abdominal Radiology. 41(6). 1086–1099. 9 indexed citations

3.

Smith, Andrew D., Reza Sirous, Darya P. Shlapak, et al.. (2016). Liver Surface Nodularity Score Allows Prediction of Cirrhosis Decompensation and Death. Radiology. 283(3). 711–722. 58 indexed citations

4.

Smith, Andrew D., et al.. (2016). Vascular tumor burden as a new quantitative CT imaging biomarker for predicting metastatic RCC response to antiangiogenic therapy.. Journal of Clinical Oncology. 34(2_suppl). 595–595. 1 indexed citations

5.

Souza, Frederico, Andrew D. Smith, Jyothi P. Jagannathan, et al.. (2014). New targeted molecular therapies for cancer: radiological response in intrathoracic malignancies and cardiopulmonary toxicity: what the radiologist needs to know. Cancer Imaging. 14(1). 26–26. 13 indexed citations

6.

Gray, Mark R., Sara E. Martin del Campo, Xu Zhang, et al.. (2013). Metastatic Melanoma: Lactate Dehydrogenase Levels and CT Imaging Findings of Tumor Devascularization Allow Accurate Prediction of Survival in Patients Treated with Bevacizumab. Radiology. 270(2). 425–434. 23 indexed citations

7.

Gray, Mark R., Sara E. Martin del Campo, Xu Zhang, et al.. (2013). Metastatic Melanoma: Lactate Dehydrogenase Levels and CT Imaging Findings of Tumor Devascularization Allow Accurate Prediction of Survival in Patients Treated with Bevacizumab. Radiology. 130776–130776. 2 indexed citations

8.

Smith, Andrew D., et al.. (2013). Predicting survival in metastatic RCC on sunitinib using MASS criteria: Evaluation of a large multicentered prospective phase III trial.. Journal of Clinical Oncology. 31(6_suppl). 407–407. 1 indexed citations

9.

Souza, Frederico, et al.. (2012). Malignant primary chest wall neoplasms: a pictorial review of imaging findings. Clinical Imaging. 37(1). 8–17. 10 indexed citations

10.

Souza, Frederico, et al.. (2011). Clinical utility of image-guided chest wall mass biopsy: results in 28 patients. Cancer Imaging. 11(1). 42–47. 4 indexed citations

11.

O’Regan, Kevin N., Jyothi P. Jagannathan, Katherine M. Krajewski, et al.. (2011). Imaging of Liposarcoma: Classification, Patterns of Tumor Recurrence, and Response to Treatment. American Journal of Roentgenology. 197(1). W37–W43. 52 indexed citations

12.

Souza, Frederico, et al.. (2011). Sarcoidosis mimicking metastatic carinoid on indium-111 pentetreotide scintigraphy. Radiology Case Reports. 6(1). 483–483. 2 indexed citations

13.

Souza, Frederico, Fiona M. Fennessy, Qunying Yang, & Annick D. Van den Abbeele. (2010). PET/CT appearance of desmoid tumour of the chest wall. British Journal of Radiology. 83(986). e39–e42. 18 indexed citations

14.

Souza, Frederico & Eleanor Y. Chen. (2009). Mesenchymal Cystic Hamartoma of the Lung. Journal of Thoracic Imaging. 24(1). 52–55. 9 indexed citations

15.

Souza, Frederico, et al.. (2009). Recurrent malignant peritoneal mesothelioma: radiological manifestations. Abdominal Imaging. 35(3). 315–321. 10 indexed citations

16.

Souza, Frederico, Hansel J. Otero, Frank J. Rybicki, et al.. (2009). Venous Thrombosis in an Outpatient Oncologic Center. Ultrasound Quarterly. 25(3). 145–150. 1 indexed citations

17.

Souza, Frederico, et al.. (2009). Melanoma metastático causando intussuscepção do intestino delgado: diagnóstico por 18F-FDG PET/TC. Radiologia Brasileira. 42(5). 333–335. 4 indexed citations

18.

Souza, Frederico, et al.. (2008). Sonographic Features of a Metastatic Extratesticular Gastrointestinal Stromal Tumor. Journal of Ultrasound in Medicine. 27(11). 1639–1642. 3 indexed citations

19.

Souza, Frederico & David Israel. (2008). PET/CT Appearance of Non-Hodgkin Lymphoma of the Vermiform Appendix. Clinical Nuclear Medicine. 33(10). 694–696. 11 indexed citations

20.

Souza, Frederico, Koenraad J. Mortelé, Edmund S. Cibas, Şükrü Mehmet Ertürk, & Stuart G. Silverman. (2008). Predictive Value of Percutaneous Imaging-Guided Biopsy of Peritoneal and Omental Masses: Results in 111 Patients. American Journal of Roentgenology. 192(1). 131–136. 47 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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