Alexandra Schlein

738 total citations
22 papers, 465 citations indexed

About

Alexandra Schlein is a scholar working on Epidemiology, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alexandra Schlein has authored 22 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 13 papers in Hepatology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alexandra Schlein's work include Liver Disease Diagnosis and Treatment (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and MRI in cancer diagnosis (6 papers). Alexandra Schlein is often cited by papers focused on Liver Disease Diagnosis and Treatment (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and MRI in cancer diagnosis (6 papers). Alexandra Schlein collaborates with scholars based in United States, Canada and Ukraine. Alexandra Schlein's co-authors include Claude B. Sirlin, Tanya Wolfson, Rohit Loomba, Anthony Gamst, Michael S. Middleton, Gavin Hamilton, Jonathan Hooker, Jeffrey B. Schwimmer, Scott B. Reeder and Cheng William Hong and has published in prestigious journals such as Radiology, The Journal of Pediatrics and Journal of Magnetic Resonance Imaging.

In The Last Decade

Alexandra Schlein

22 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandra Schlein United States 14 370 225 122 75 64 22 465
Walaa Shabana Egypt 9 231 0.6× 144 0.6× 50 0.4× 103 1.4× 58 0.9× 21 349
Sameer M. Mazhar United States 7 314 0.8× 251 1.1× 122 1.0× 63 0.8× 43 0.7× 7 427
Larysa Fedchuk France 7 607 1.6× 348 1.5× 54 0.4× 72 1.0× 222 3.5× 10 658
Ajinkya Desai United States 5 302 0.8× 184 0.8× 49 0.4× 35 0.5× 68 1.1× 7 336
Stella Maris Martínez Argentina 9 539 1.5× 419 1.9× 48 0.4× 77 1.0× 56 0.9× 20 639
Hong‐Lei Ma China 13 361 1.0× 152 0.7× 28 0.2× 79 1.1× 116 1.8× 27 459
William Haufe United States 11 936 2.5× 553 2.5× 142 1.2× 113 1.5× 301 4.7× 14 1.0k
Shiho Tokunaga Japan 13 188 0.5× 200 0.9× 69 0.6× 78 1.0× 17 0.3× 27 351
Olivier Deckmyn France 12 524 1.4× 417 1.9× 29 0.2× 51 0.7× 71 1.1× 23 603
Luca L’Abbate Italy 6 215 0.6× 132 0.6× 54 0.4× 35 0.5× 53 0.8× 20 316

Countries citing papers authored by Alexandra Schlein

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Schlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Schlein

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Schlein. A scholar is included among the top collaborators of Alexandra Schlein 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 Alexandra Schlein. Alexandra Schlein 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.
Rodríguez‐Soto, Ana E., Jingjing Zou, Stephan Jordan, et al.. (2024). Effect of Phase Encoding Direction on Image Quality in Single‐Shot EPI Diffusion‐Weighted Imaging of the Breast. Journal of Magnetic Resonance Imaging. 60(4). 1340–1349. 2 indexed citations
2.
Stålberg, Karin, et al.. (2024). Application of PET/MRI in Gynecologic Malignancies. Cancers. 16(8). 1478–1478. 2 indexed citations
3.
Hasenstab, Kyle, Guilherme Moura Cunha, Shintaro Ichikawa, et al.. (2021). CNN color-coded difference maps accurately display longitudinal changes in liver MRI-PDFF. European Radiology. 31(7). 5041–5049. 2 indexed citations
4.
Yu, Elizabeth L., Craig Bross, Jeanne F. Nichols, et al.. (2021). Hepatic Steatosis is Negatively Associated with Bone Mineral Density in Children. The Journal of Pediatrics. 233. 105–111.e3. 10 indexed citations
5.
Hong, Cheng William, Jennifer Y. Cui, Yang Xu, et al.. (2021). Repeatability and accuracy of various region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification. Abdominal Radiology. 46(7). 3105–3116. 6 indexed citations
6.
Zhang, Yingzhen, Kathryn J. Fowler, Andrew S. Boehringer, et al.. (2021). Comparative diagnostic performance of ultrasound shear wave elastography and magnetic resonance elastography for classifying fibrosis stage in adults with biopsy-proven nonalcoholic fatty liver disease. European Radiology. 32(4). 2457–2469. 32 indexed citations
7.
Tang, An, Bogdan Dzyubak, Meng Yin, et al.. (2021). MR elastography in nonalcoholic fatty liver disease: inter-center and inter-analysis-method measurement reproducibility and accuracy at 3T. European Radiology. 32(5). 2937–2948. 18 indexed citations
8.
Cunha, Guilherme Moura, Kyle Hasenstab, Atsushi Higaki, et al.. (2020). Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time. European Journal of Radiology. 124. 108837–108837. 7 indexed citations
9.
Wallace, Martina, Nidhi Goyal, Kimberly P. Newton, et al.. (2020). Dairy Fat Intake, Plasma Pentadecanoic Acid, and Plasma Iso‐heptadecanoic Acid Are Inversely Associated With Liver Fat in Children. Journal of Pediatric Gastroenterology and Nutrition. 72(4). e90–e96. 24 indexed citations
10.
Brunsing, Ryan L., Alexandra Schlein, Tanya Wolfson, et al.. (2019). Gadoxetate-enhanced Abbreviated MRI for Hepatocellular Carcinoma Surveillance: Preliminary Experience. Radiology Imaging Cancer. 1(2). e190010–e190010. 40 indexed citations
11.
Cunha, Guilherme Moura, Gavin Hamilton, Alexandra Schlein, et al.. (2019). Accuracy of common proton density fat fraction thresholds for magnitude- and complex-based chemical shift-encoded MRI for assessing hepatic steatosis in patients with obesity. Abdominal Radiology. 45(3). 661–671. 24 indexed citations
12.
Hasenstab, Kyle, Guilherme Moura Cunha, Atsushi Higaki, et al.. (2019). Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. European Radiology Experimental. 3(1). 43–43. 12 indexed citations
13.
Newton, Kimberly P., Nidhi Goyal, Jorge E. Angeles, et al.. (2019). Normal range for MR elastography measured liver stiffness in children without liver disease. Journal of Magnetic Resonance Imaging. 51(3). 919–927. 32 indexed citations
14.
Pooler, B. Dustin, Curtis N. Wiens, Alan B. McMillan, et al.. (2018). Monitoring Fatty Liver Disease with MRI Following Bariatric Surgery: A Prospective, Dual-Center Study. Radiology. 290(3). 682–690. 28 indexed citations
15.
Dehkordy, Soudabeh Fazeli, Kathryn J. Fowler, Adrija Mamidipalli, et al.. (2018). Hepatic steatosis and reduction in steatosis following bariatric weight loss surgery differs between segments and lobes. European Radiology. 29(5). 2474–2480. 13 indexed citations
16.
Hong, Cheng William, Tanya Wolfson, Jeremy S. Paige, et al.. (2018). Reader agreement and accuracy of ultrasound features for hepatic steatosis. Abdominal Radiology. 44(1). 54–64. 19 indexed citations
17.
Park, Charlie C., Catherine A. Hooker, Jonathan Hooker, et al.. (2018). Assessment of a high‐SNR chemical‐shift‐encoded MRI with complex reconstruction for proton density fat fraction (PDFF) estimation overall and in the low‐fat range. Journal of Magnetic Resonance Imaging. 49(1). 229–238. 10 indexed citations
18.
Suzuki, Toshiaki, Jonathan Hooker, Alexandra Schlein, et al.. (2017). How bariatric surgery affects liver volume and fat density in NAFLD patients. Surgical Endoscopy. 32(4). 1675–1682. 46 indexed citations
19.
Mamidipalli, Adrija, Gavin Hamilton, Cheng William Hong, et al.. (2017). Cross‐sectional correlation between hepatic R2* and proton density fat fraction (PDFF) in children with hepatic steatosis. Journal of Magnetic Resonance Imaging. 47(2). 418–424. 19 indexed citations
20.
Heba, Elhamy, Ajinkya Desai, Gavin Hamilton, et al.. (2015). Accuracy and the effect of possible subject‐based confounders of magnitude‐based MRI for estimating hepatic proton density fat fraction in adults, using MR spectroscopy as reference. Journal of Magnetic Resonance Imaging. 43(2). 398–406. 50 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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