Michael E. Zapadka

772 citations
20 papers · 540 · 1 hit paper · h-index 10

Impact in

Papers in

Michael E. Zapadka

19 papers receiving 533 citations

Michael E. Zapadka's Hit Papers

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential 2023 · 250 citations
2500+1+2Years since publication50100150200250

Peers

Michael E. Zapadka
Comparison fields: 5 of 94
  • Health Informatics 146
  • Radiology, Nuclear Medicine and Imaging 158
  • Genetics 43
  • Family Practice 7
  • Neurology 33
Replace Hiroyuki Tatekawa with:
Hiroyuki Tatekawa Japan
Rohaid Ali United States
Siddharth Nath Canada
Lina Basel‐Salmon Israel
Guy Nadav Israel
Sammy Badr France
Hirotaka Takita Japan
Francisco Carrillo‐Pérez Spain
Derek Soon Singapore
Emily B. Ambinder United States
Michael E. Zapadka relative to Hiroyuki Tatekawa Japan Hiroyuki Tatekawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael E. Zapadka

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Zapadka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Zapadka. 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 Michael E. Zapadka. The network helps show where Michael E. Zapadka may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. Zapadka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael E. Zapadka Line = papers co-authored together Michael E. Zapadka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
Hit paper breakdown →
2023250
2 201267
3 201052
4 201139
5 201727
6 201924
7 201217
8 201215
9 201313
10 20189
11 20136
12 20135
13 20204
14 20243
15 20172
16 20212
17 20102
18 20232
19 20181
20 20200

About Michael E. Zapadka

Michael E. Zapadka is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Epidemiology, having authored 20 papers that have together received 540 indexed citations. Recurring topics across this work include Congenital heart defects research (2 papers), Glioma Diagnosis and Treatment (2 papers), Advanced X-ray and CT Imaging (1 paper), Medical Imaging Techniques and Applications (1 paper), Radiology practices and education (1 paper), Neurological diseases and metabolism (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Non-Invasive Vital Sign Monitoring (1 paper). The work is most often cited by research in Health Informatics (146 citations), Radiology, Nuclear Medicine and Imaging (158 citations), Genetics (43 citations), Family Practice (7 citations) and Neurology (33 citations). Michael E. Zapadka has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christopher T. Whitlow, Qing Lyu, Kyle J. Myers, Ge Wang, Janardhana Ponnatapura, Josh Tan, Chuang Niu, Eric M. Lyders, Michael Y. M. Chen and Annette J. Johnson. Their work appears in journals such as American Journal of Neuroradiology, Journal of Computer Assisted Tomography, International Journal of Pediatric Otorhinolaryngology, Academic Radiology and Journal of Neuro-Oncology.

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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