David Zander

475 total citations
19 papers, 249 citations indexed

About

David Zander is a scholar working on Surgery, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Zander has authored 19 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Otorhinolaryngology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Zander's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Head and Neck Cancer Studies (3 papers). David Zander is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers) and Head and Neck Cancer Studies (3 papers). David Zander collaborates with scholars based in United States, Germany and South Korea. David Zander's co-authors include Wendy R. K. Smoker, Johannes Textor, H.-J. Biersack, H. Palmedo, Alfred Schmitz, J. H. Risse, Oliver Schmitt, Peter A. Nigrović, Andrew L. Callen and Marius Birlea and has published in prestigious journals such as Neurology, Osteoporosis International and Radiographics.

In The Last Decade

David Zander

16 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Zander United States 8 154 51 40 37 35 19 249
Mehmet Gençtürk United States 11 128 0.8× 32 0.6× 57 1.4× 72 1.9× 25 0.7× 36 311
Reddy Ravikanth India 7 100 0.6× 37 0.7× 56 1.4× 42 1.1× 56 1.6× 105 253
George Triantafyllou Greece 8 111 0.7× 72 1.4× 49 1.2× 26 0.7× 25 0.7× 117 237
Svetlana Antić Serbia 8 140 0.9× 16 0.3× 19 0.5× 48 1.3× 10 0.3× 31 240
Federico Zaottini Italy 10 139 0.9× 52 1.0× 46 1.1× 115 3.1× 30 0.9× 44 301
Kuan‐Kai Tung United Kingdom 8 172 1.1× 26 0.5× 121 3.0× 19 0.5× 52 1.5× 23 244
Vivek Tiwari India 10 130 0.8× 10 0.2× 59 1.5× 15 0.4× 24 0.7× 67 263
Amine M. Korchi Switzerland 7 258 1.7× 30 0.6× 27 0.7× 42 1.1× 33 0.9× 15 407
José Dutra United States 10 332 2.2× 26 0.5× 29 0.7× 15 0.4× 34 1.0× 13 391
Kenneth E. Morgenstern United States 11 151 1.0× 66 1.3× 49 1.2× 23 0.6× 71 2.0× 18 346

Countries citing papers authored by David Zander

Since Specialization
Citations

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

Fields of papers citing papers by David Zander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Zander

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

All Works

19 of 19 papers shown
1.
Sunshine, Abraham, Andrew L. Callen, David Zander, et al.. (2025). Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study. JMIR Formative Research. 9. e76097–e76097.
2.
Bunch, Paul M., Ashley H. Aiken, Kristen L. Baugnon, et al.. (2025). ACR Neck Imaging Reporting and Data System for MRI Version 2025. Journal of the American College of Radiology. 22(11). 1325–1336.
3.
Agarwal, Mohit, Amy F. Juliano, Mari Hagiwara, et al.. (2025). ACR Appropriateness Criteria® Inflammatory Ear Disease. Journal of the American College of Radiology. 22(5). S300–S318.
4.
Tanabe, Jody, Jack Pattee, Peter Pressman, et al.. (2024). Automated Volumetric Software in Dementia: Help or Hindrance to the Neuroradiologist?. American Journal of Neuroradiology. 45(11). 1737–1744. 2 indexed citations
5.
Callen, Andrew L., Jack Pattee, Ashesh A. Thaker, et al.. (2023). Relationship of Bern Score, Spinal Elastance, and Opening Pressure in Patients With Spontaneous Intracranial Hypotension. Neurology. 100(22). e2237–e2246. 34 indexed citations
6.
Jain, Vikas, Bruno Policeni, Amy F. Juliano, et al.. (2023). ACR Appropriateness Criteria® Tinnitus: 2023 Update. Journal of the American College of Radiology. 20(11). S574–S591. 4 indexed citations
7.
Palotai, Miklós, Glenn J. Hanna, Jonathan D. Schoenfeld, et al.. (2023). Diagnostic performance of computed tomography features in detecting oropharyngeal squamous cell carcinoma extranodal extension. European Radiology. 33(5). 3693–3703. 9 indexed citations
8.
Gule-Monroe, Maria, Bruno Policeni, Amy F. Juliano, et al.. (2023). ACR Appropriateness Criteria® Staging and Post-Therapy Assessment of Head and Neck Cancer. Journal of the American College of Radiology. 20(11). S521–S564. 6 indexed citations
9.
Rath, Tanya J., Bruno Policeni, Amy F. Juliano, et al.. (2022). ACR Appropriateness Criteria® Cranial Neuropathy: 2022 Update. Journal of the American College of Radiology. 19(11). S266–S303. 3 indexed citations
10.
Parsons, Matthew S., Bruno Policeni, Amy F. Juliano, et al.. (2022). ACR Appropriateness Criteria® Imaging of Facial Trauma Following Primary Survey. Journal of the American College of Radiology. 19(5). S67–S86. 5 indexed citations
11.
Hagiwara, Mari, Bruno Policeni, Amy F. Juliano, et al.. (2022). ACR Appropriateness Criteria® Sinonasal Disease: 2021 Update. Journal of the American College of Radiology. 19(5). S175–S193. 12 indexed citations
12.
Burns, Judah, Bruno Policeni, Julie Bykowski, et al.. (2019). ACR Appropriateness Criteria® Neuroendocrine Imaging. Journal of the American College of Radiology. 16(5). S161–S173. 10 indexed citations
13.
Bunch, Paul M., Hillary R. Kelly, David Zander, & Hugh D. Curtin. (2017). Trochlear Groove and Trochlear Cistern: Useful Anatomic Landmarks for Identifying the Tentorial Segment of Cranial Nerve IV on MRI. American Journal of Neuroradiology. 38(5). 1026–1030. 9 indexed citations
14.
Resnick, Cory M., Lauren A. Henderson, David Zander, et al.. (2017). Frequency and morbidity of temporomandibular joint involvement in adult patients with a history of juvenile idiopathic arthritis. International Journal of Oral and Maxillofacial Surgery. 46. 235–235. 1 indexed citations
15.
Resnick, Cory M., Lauren A. Henderson, David Zander, et al.. (2016). Frequency and Morbidity of Temporomandibular Joint Involvement in Adult Patients With a History of Juvenile Idiopathic Arthritis. Journal of Oral and Maxillofacial Surgery. 75(6). 1191–1200. 18 indexed citations
16.
Goyal, Neerav, et al.. (2016). Use of the submental vessels for free gracilis muscle transfer for smile reanimation. Head & Neck. 38(10). E2499–503. 2 indexed citations
17.
Zander, David & Wendy R. K. Smoker. (2014). Imaging of Ectopic Thyroid Tissue and Thyroglossal Duct Cysts. Radiographics. 34(1). 37–50. 61 indexed citations
18.
Bennett, D. Lee, et al.. (2012). JACR Journal Club: The University of Iowa Experience. Journal of the American College of Radiology. 9(2). 148–149. 2 indexed citations
19.
Schmitz, Alfred, J. H. Risse, Johannes Textor, et al.. (2002). FDG-PET Findings of Vertebral Compression Fractures in Osteoporosis: Preliminary Results. Osteoporosis International. 13(9). 755–761. 71 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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