Khoschy Schawkat

718 total citations
24 papers, 408 citations indexed

About

Khoschy Schawkat is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Khoschy Schawkat has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Khoschy Schawkat's work include Pancreatic and Hepatic Oncology Research (8 papers), Pancreatitis Pathology and Treatment (7 papers) and MRI in cancer diagnosis (4 papers). Khoschy Schawkat is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Pancreatitis Pathology and Treatment (7 papers) and MRI in cancer diagnosis (4 papers). Khoschy Schawkat collaborates with scholars based in Switzerland, United States and United Kingdom. Khoschy Schawkat's co-authors include Koenraad J. Mortelé, Anton S. Becker, Maria A. Manning, Jonathan N. Glickman, Olivio F. Donati, Urs J. Muehlematter, Andreas M. Hötker, Irene A. Burger, Caecilia S. Reiner and Daniel Eberli and has published in prestigious journals such as PLoS ONE, Radiology and Radiographics.

In The Last Decade

Khoschy Schawkat

23 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khoschy Schawkat Switzerland 10 136 119 115 109 83 24 408
Anna Damascelli Italy 11 219 1.6× 237 2.0× 106 0.9× 180 1.7× 31 0.4× 15 566
Hyon Joo Kwag South Korea 13 105 0.8× 31 0.3× 69 0.6× 175 1.6× 124 1.5× 25 492
Claudia Ortega Canada 12 162 1.2× 100 0.8× 222 1.9× 64 0.6× 61 0.7× 52 435
Jie Cai China 12 110 0.8× 46 0.4× 106 0.9× 147 1.3× 49 0.6× 47 453
Sara Shimoni Israel 14 47 0.3× 38 0.3× 157 1.4× 123 1.1× 178 2.1× 59 681
Clare Beadsmoore United Kingdom 12 127 0.9× 79 0.7× 119 1.0× 95 0.9× 19 0.2× 22 378
Giulia Cristel Italy 14 327 2.4× 276 2.3× 199 1.7× 193 1.8× 32 0.4× 21 747
Jason Iannuccilli United States 11 188 1.4× 68 0.6× 122 1.1× 483 4.4× 52 0.6× 13 752
Mengsi Li China 13 70 0.5× 88 0.7× 140 1.2× 69 0.6× 96 1.2× 33 390
Susan Barter United Kingdom 8 76 0.6× 53 0.4× 48 0.4× 41 0.4× 96 1.2× 12 303

Countries citing papers authored by Khoschy Schawkat

Since Specialization
Citations

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

Fields of papers citing papers by Khoschy Schawkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khoschy Schawkat

This figure shows the co-authorship network connecting the top 25 collaborators of Khoschy Schawkat. A scholar is included among the top collaborators of Khoschy Schawkat 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 Khoschy Schawkat. Khoschy Schawkat 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.
Honcharova‐Biletska, Hanna, Daniel Segna, Klaus Steigmiller, et al.. (2023). Performance of two‐dimensional shear wave elastography and transient elastography compared to liver biopsy for staging of liver fibrosis. European Journal of Clinical Investigation. 53(7). e13980–e13980. 8 indexed citations
2.
Schawkat, Khoschy & Katherine M. Krajewski. (2023). Insights into Renal Cell Carcinoma with Novel Imaging Approaches. Hematology/Oncology Clinics of North America. 37(5). 863–875. 4 indexed citations
3.
Rosenthal, Michael H., et al.. (2022). What Can We Learn About Pancreatic Adenocarcinoma from Imaging?. Hematology/Oncology Clinics of North America. 36(5). 911–928.
4.
Schawkat, Khoschy, Bert-Ram Sah, Edwin E. G. W. ter Voert, et al.. (2021). Role of intravoxel incoherent motion parameters in gastroesophageal cancer: relationship with 18F-FDG-positron emission tomography, computed tomography perfusion and magnetic resonance perfusion imaging parameters. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 65(2). 178–186. 1 indexed citations
5.
Hsu, Tzu-Ming Harry, Khoschy Schawkat, Seth J. Berkowitz, et al.. (2021). Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer– A recipe for your local application. European Journal of Radiology. 142. 109834–109834. 33 indexed citations
6.
Schawkat, Khoschy, Kevin F. Kennedy, Andrea J. Bullock, et al.. (2021). Treatment burden of robotic gastrectomy for locally advanced gastric cancer (LAGC): a single western experience. Annals of Translational Medicine. 9(18). 1408–1408. 2 indexed citations
7.
Schawkat, Khoschy, Maria A. Manning, Jonathan N. Glickman, & Koenraad J. Mortelé. (2020). Pancreatic Ductal Adenocarcinoma and Its Variants: Pearls and Perils. Radiographics. 40(5). 1219–1239. 62 indexed citations
9.
Becker, Anton S., Sara Bacanovic, Sabine Franckenberg, et al.. (2020). Brown fat does not cause cachexia in cancer patients: A large retrospective longitudinal FDG-PET/CT cohort study. PLoS ONE. 15(10). e0239990–e0239990. 25 indexed citations
10.
Schawkat, Khoschy, Alexander Ciritsis, Hanna Honcharova‐Biletska, et al.. (2020). Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology. European Radiology. 30(8). 4675–4685. 47 indexed citations
11.
Schawkat, Khoschy, Leo L. Tsai, Jonathan N. Glickman, et al.. (2020). Use of ring-enhancement and focal necrosis to differentiate pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma on CT and MRI. Clinical Imaging. 73. 134–138. 9 indexed citations
12.
Muehlematter, Urs J., Irene A. Burger, Anton S. Becker, et al.. (2019). Diagnostic Accuracy of Multiparametric MRI versus 68Ga-PSMA-11 PET/MRI for Extracapsular Extension and Seminal Vesicle Invasion in Patients with Prostate Cancer. Radiology. 293(2). 350–358. 87 indexed citations
13.
Schawkat, Khoschy, et al.. (2019). Imaging guidelines for acute pancreatitis: when and when not to image. Abdominal Radiology. 45(5). 1338–1349. 16 indexed citations
14.
Schawkat, Khoschy, et al.. (2019). Incidental finding of a supradiaphragmatic caudate lobe on cross-sectional imaging: An exceedingly rare entity. Clinical Imaging. 60(1). 79–83. 1 indexed citations
15.
Becker, Anton S., Krishna Chaitanya, Khoschy Schawkat, et al.. (2019). Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study. European Journal of Radiology. 121. 108716–108716. 41 indexed citations
16.
Schawkat, Khoschy, Henriette Heinrich, Helen L. Parker, et al.. (2018). How to define pathologic pelvic floor descent in MR defecography during defecation?. Abdominal Radiology. 43(12). 3233–3240. 14 indexed citations
17.
Ulrich, Nils H., Isaac Gravestock, Ulrike Held, et al.. (2018). Does Preoperative Degenerative Spondylolisthesis Influence Outcome in Degenerative Lumbar Spinal Stenosis? Three-Year Results of a Swiss Prospective Multicenter Cohort Study. World Neurosurgery. 114. e1275–e1283. 8 indexed citations
18.
Schawkat, Khoschy, Michael Ith, Andreas Christe, et al.. (2018). Dynamic non-invasive ASL perfusion imaging of a normal pancreas with secretin augmented MR imaging. European Radiology. 28(6). 2389–2396. 7 indexed citations
19.
Becker, Anton S., et al.. (2017). In-depth analysis of interreader agreement and accuracy in categorical assessment of brown adipose tissue in (18)FDG-PET/CT. European Journal of Radiology. 91. 41–46. 7 indexed citations
20.
Schawkat, Khoschy, W Kühn, Daniel Inderbitzin, et al.. (2016). Diagnostic Value and Interreader Agreement of the Pancreaticolienal Gap in Pancreatic Cancer on MDCT. PLoS ONE. 11(11). e0166003–e0166003. 2 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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