Javin Schefflein

1.2k total citations
21 papers, 742 citations indexed

About

Javin Schefflein is a scholar working on Neurology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Javin Schefflein has authored 21 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Infectious Diseases and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Javin Schefflein's work include Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Javin Schefflein is often cited by papers focused on Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Javin Schefflein collaborates with scholars based in United States and India. Javin Schefflein's co-authors include J Mocco, Amish Doshi, Eric K. Oermann, J. Titano, Joseph Lehár, Anthony Costa, Margaret Pain, John R. Zech, Joshua B. Bederson and Marcus A. Badgeley and has published in prestigious journals such as Nature Medicine, Blood and Radiology.

In The Last Decade

Javin Schefflein

19 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javin Schefflein United States 10 277 220 181 153 140 21 742
Houman Sotoudeh United States 17 200 0.7× 331 1.5× 28 0.2× 46 0.3× 72 0.5× 74 814
Mauro Morassi Italy 9 293 1.1× 154 0.7× 240 1.3× 42 0.3× 16 0.1× 16 651
Vasantha Kumar Venugopal India 7 170 0.6× 325 1.5× 19 0.1× 227 1.5× 164 1.2× 23 785
Furen Xiao Taiwan 19 297 1.1× 142 0.6× 43 0.2× 84 0.5× 22 0.2× 64 896
Andrew Makmur Singapore 12 87 0.3× 223 1.0× 30 0.2× 85 0.6× 114 0.8× 34 577
Margaret Pain United States 15 209 0.8× 203 0.9× 12 0.1× 147 1.0× 134 1.0× 31 800
Thomas Weikert Switzerland 16 57 0.2× 427 1.9× 29 0.2× 103 0.7× 121 0.9× 38 759
Antonella Balestrieri Italy 15 71 0.3× 233 1.1× 48 0.3× 103 0.7× 26 0.2× 49 798
Hirofumi Obinata Japan 8 93 0.3× 125 0.6× 183 1.0× 142 0.9× 45 0.3× 17 495
Riccardo Cau Italy 19 80 0.3× 458 2.1× 74 0.4× 41 0.3× 36 0.3× 84 914

Countries citing papers authored by Javin Schefflein

Since Specialization
Citations

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

Fields of papers citing papers by Javin Schefflein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javin Schefflein

This figure shows the co-authorship network connecting the top 25 collaborators of Javin Schefflein. A scholar is included among the top collaborators of Javin Schefflein 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 Javin Schefflein. Javin Schefflein 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.
Kahn, Ryan, Kieran J. Murphy, Qin Zhou, et al.. (2025). Three-dimensional volumetric rendering on augmented reality headsets for ovarian cancer cytoreduction planning: A Memorial Sloan Kettering Cancer Center Team Ovary study. Gynecologic Oncology. 196. 107–112. 1 indexed citations
2.
Tringale, Kathryn R., Michael Scordo, Joachim Yahalom, et al.. (2024). Evolving consolidation patterns and outcomes for a large cohort of patients with primary CNS lymphoma. Blood Advances. 8(24). 6195–6206. 8 indexed citations
3.
Torborg, Stefan, et al.. (2024). Extended Reality Applications in Otolaryngology Beyond the Operating Room: A Scoping Review. Journal of Clinical Medicine. 13(21). 6295–6295.
4.
Tringale, Kathryn R., Christian Grommes, Anne S. Reiner, et al.. (2024). Consolidation Regimen and Cerebral Atrophy in Patients With Primary Central Nervous System Lymphoma. International Journal of Radiation Oncology*Biology*Physics. 121(5). 1248–1257. 1 indexed citations
5.
Swinburne, Nathaniel, Christopher Jackson, Andrew Pagano, et al.. (2024). Foundational Segmentation Models and Clinical Data Mining Enable Accurate Computer Vision for Lung Cancer. Journal of Imaging Informatics in Medicine. 38(3). 1552–1562. 1 indexed citations
6.
Cederquist, G., Javin Schefflein, Sean M. Devlin, et al.. (2023). CNS Radiotherapy As Bridging Prior to CAR T-Cell Therapy for Non-Hodgkin B-Cell Lymphoma. Blood. 142(Supplement 1). 4491–4491. 1 indexed citations
7.
Epstein, Benjamin, et al.. (2022). PSAT107 Evaluating Pituitary Volume and the Growth Hormone Stimulation Test in Siblings. Both Together Better Define the Etiology of Short Stature.. Journal of the Endocrine Society. 6(Supplement_1). A633–A634.
8.
9.
Schefflein, Javin, et al.. (2021). Brain MRI findings in COVID-19 patients with PRES: A systematic review. Clinical Imaging. 81. 107–113. 14 indexed citations
10.
Kihira, Shingo, Bradley N. Delman, Puneet Belani, et al.. (2020). Imaging Features of Acute Encephalopathy in Patients with COVID-19: A Case Series. American Journal of Neuroradiology. 41(10). 1804–1808. 29 indexed citations
11.
Belani, Puneet, Javin Schefflein, Shingo Kihira, et al.. (2020). COVID-19 Is an Independent Risk Factor for Acute Ischemic Stroke. American Journal of Neuroradiology. 41(8). 1361–1364. 129 indexed citations
12.
Kihira, Shingo, Javin Schefflein, Puneet Pawha, et al.. (2020). Neurovascular complications that can be seen in COVID-19 patients. Clinical Imaging. 69. 280–284. 10 indexed citations
13.
Schwartz, J, Brian Cho, Peter Tang, et al.. (2020). Deep Learning Automates Measurement of Spinopelvic Parameters on Lateral Lumbar Radiographs. Spine. 46(12). E671–E678. 35 indexed citations
14.
Kihira, Shingo, Javin Schefflein, Keon Mahmoudi, et al.. (2020). Association of Coronavirus Disease (COVID-19) With Large Vessel Occlusion Strokes: A Case-Control Study. American Journal of Roentgenology. 216(1). 150–156. 58 indexed citations
15.
Naidich, Thomas P., et al.. (2019). The Distal Spine. Neuroimaging Clinics of North America. 29(3). 385–409. 1 indexed citations
16.
Rutland, John W., Javin Schefflein, Annie E. Arrighi‐Allisan, et al.. (2019). Measuring degeneration of the lateral geniculate nuclei from pituitary adenoma compression detected by 7T ultra–high field MRI: a method for predicting vision recovery following surgical decompression of the optic chiasm. Journal of neurosurgery. 132(6). 1747–1756. 4 indexed citations
17.
Swinburne, Nathaniel, Javin Schefflein, Yu Sakai, et al.. (2019). Machine learning for semiautomated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging. Annals of Translational Medicine. 7(11). 232–232. 52 indexed citations
18.
Titano, J., Marcus A. Badgeley, Javin Schefflein, et al.. (2018). Automated deep-neural-network surveillance of cranial images for acute neurologic events. Nature Medicine. 24(9). 1337–1341. 270 indexed citations
19.
Zech, John R., Margaret Pain, J. Titano, et al.. (2018). Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports. Radiology. 287(2). 570–580. 101 indexed citations
20.
Schefflein, Javin, et al.. (2012). Sea urchin spine arthritis in the foot. Skeletal Radiology. 41(10). 1327–1331. 8 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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