John C. Paschold
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- Otorhinolaryngology top 5%
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- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Radiation top 10%
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- Cancer Genomics and Diagnostics 2
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- Phytoestrogen effects and research 2
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- Hypothalamic control of reproductive hormones 1
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- Hermeneutics and Narrative Identity 1
- Co-authors
- Norbert AvrilHeloisa P. SoaresGary H. LymanDominique DelbekeBarry A. SiegelR. Edward ColemanBenjamin DjulbegovićAnthony F. Shields
- Cited by
- Radiology, Nuclear Medicine and ImagingOtorhinolaryngologyPulmonary and Respiratory Medicine
- Journals
- Journal of Clinical Oncology (2 papers)Maturitas (1 paper)Journal of Nuclear Medicine (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John C. Paschold
5 papers receiving 833 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 522
- Otorhinolaryngology 66
- Pulmonary and Respiratory Medicine 243
- Radiation 55
- Oncology 171
Countries citing papers authored by John C. Paschold
This map shows the geographic impact of John C. Paschold'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 John C. Paschold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Paschold more than expected).
Fields of papers citing papers by John C. Paschold
This network shows the impact of papers produced by John C. Paschold. 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 John C. Paschold. The network helps show where John C. Paschold may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John C. Paschold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 0 | |
| 4 | Recommendations on the Use of 18F-FDG PET in Oncology | 2014 | 0 |
| 5 | Recommendations on the Use of 18F-FDG PET in Oncologybreakdown → | 2008 | 790 |
| 6 | 1996 | 52 | |
| 7 | 1996 | 1 |
About John C. Paschold
John C. Paschold is a scholar working on Pathology and Forensic Medicine, Cancer Research, Pulmonary and Respiratory Medicine, Reproductive Medicine and Philosophy, having authored 7 papers that have together received 847 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (2 papers), Phytoestrogen effects and research (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Hypothalamic control of reproductive hormones (1 paper), Medical Imaging Techniques and Applications (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (522 citations), Otorhinolaryngology (66 citations), Pulmonary and Respiratory Medicine (243 citations), Radiation (55 citations) and Oncology (171 citations). John C. Paschold has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Norbert Avril, Heloisa P. Soares, Gary H. Lyman, Dominique Delbeke, Barry A. Siegel, R. Edward Coleman, Benjamin Djulbegović, Anthony F. Shields, Val J. Lowe and Lawrence H. Einhorn. Their work appears in journals such as Journal of Clinical Oncology, Maturitas, Journal of Nuclear Medicine, Journal of Thoracic Oncology and Fertility and Sterility.
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.