Steve V. DeSouza

535 total citations
10 papers, 436 citations indexed

About

Steve V. DeSouza is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Steve V. DeSouza has authored 10 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Steve V. DeSouza's work include Pancreatitis Pathology and Treatment (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Steve V. DeSouza is often cited by papers focused on Pancreatitis Pathology and Treatment (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Steve V. DeSouza collaborates with scholars based in New Zealand. Steve V. DeSouza's co-authors include Maxim S. Petrov, Ruma G. Singh, Haribalan Kumar, Sayali A. Pendharkar, Jaelim Cho, Rinki Murphy, Lindsay D. Plank, Jin Uk Kim, Jun Lu and Sakina H. Bharmal and has published in prestigious journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, European Radiology and Diabetes Obesity and Metabolism.

In The Last Decade

Steve V. DeSouza

10 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve V. DeSouza New Zealand 10 288 212 155 88 80 10 436
Yoshioki Yoda Japan 9 164 0.6× 112 0.5× 100 0.6× 50 0.6× 88 1.1× 18 400
María Isabel Del Olmo-García Spain 12 149 0.5× 106 0.5× 65 0.4× 178 2.0× 32 0.4× 38 389
Sonal Krishan India 6 374 1.3× 508 2.4× 25 0.2× 487 5.5× 49 0.6× 11 878
Trond Engjom Norway 12 324 1.1× 80 0.4× 178 1.1× 32 0.4× 28 0.3× 47 390
Laurence Chardon France 12 72 0.3× 176 0.8× 143 0.9× 43 0.5× 26 0.3× 27 391
Arjen‐Kars Boer Netherlands 11 103 0.4× 48 0.2× 43 0.3× 37 0.4× 21 0.3× 36 367
Hideharu Ogiyama Japan 15 752 2.6× 37 0.2× 153 1.0× 10 0.1× 75 0.9× 33 1.2k
Riccardo Sartoris France 16 162 0.6× 233 1.1× 85 0.5× 38 0.4× 185 2.3× 43 574
Luca Sessa Italy 15 544 1.9× 60 0.3× 27 0.2× 416 4.7× 36 0.5× 42 637
Hilary B. Whitlatch United States 4 66 0.2× 84 0.4× 110 0.7× 107 1.2× 7 0.1× 17 277

Countries citing papers authored by Steve V. DeSouza

Since Specialization
Citations

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

Fields of papers citing papers by Steve V. DeSouza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve V. DeSouza. 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 Steve V. DeSouza. The network helps show where Steve V. DeSouza may publish in the future.

Co-authorship network of co-authors of Steve V. DeSouza

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

All Works

10 of 10 papers shown
1.
Kumar, Haribalan, Steve V. DeSouza, & Maxim S. Petrov. (2019). Automated pancreas segmentation from computed tomography and magnetic resonance images: A systematic review. Computer Methods and Programs in Biomedicine. 178. 319–328. 53 indexed citations
2.
DeSouza, Steve V., et al.. (2019). A Systematic Review of Intra-pancreatic Fat Deposition and Pancreatic Carcinogenesis. Journal of Gastrointestinal Surgery. 24(11). 2560–2569. 51 indexed citations
3.
DeSouza, Steve V., et al.. (2019). Pancreas shrinkage following recurrent acute pancreatitis: an MRI study. European Radiology. 29(7). 3746–3756. 43 indexed citations
4.
Singh, Ruma G., et al.. (2019). Relationship of pancreas volume to tobacco smoking and alcohol consumption following pancreatitis. Pancreatology. 20(1). 60–67. 24 indexed citations
5.
Singh, Ruma G., et al.. (2019). Relationship of Anthropometric Indices to Abdominal Body Composition: A Multi-Ethnic New Zealand Magnetic Resonance Imaging Study. Journal of Clinical Medicine Research. 11(6). 435–446. 37 indexed citations
6.
Singh, Ruma G., et al.. (2019). Intrapancreatic fat deposition and visceral fat volume are associated with the presence of diabetes after acute pancreatitis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 316(6). G806–G815. 57 indexed citations
7.
DeSouza, Steve V., et al.. (2018). Quantitative determination of pancreas size using anatomical landmarks and its clinical relevance: A systematic literature review. Clinical Anatomy. 31(6). 913–926. 29 indexed citations
8.
DeSouza, Steve V., et al.. (2018). Pancreas volume in health and disease: a systematic review and meta-analysis. Expert Review of Gastroenterology & Hepatology. 12(8). 757–766. 62 indexed citations
9.
Pendharkar, Sayali A., et al.. (2018). Gut Hormone Responses to Mixed Meal Test in New-Onset Prediabetes/Diabetes After Acute Pancreatitis. Hormone and Metabolic Research. 51(3). 191–199. 22 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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