John C. Paschold

1.2k citations
7 papers · 900 · 1 hit paper · h-index 3

Impact in

Papers in

John C. Paschold

5 papers receiving 878 citations

John C. Paschold's Hit Papers

Recommendations on the Use of 18F-FDG PET in Oncology 2008 · 838 citations
8380+6+12Years since publication250500750

Peers

John C. Paschold
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 414
  • Otorhinolaryngology 62
  • Pulmonary and Respiratory Medicine 175
  • Cancer Research 71
  • Oncology 128
Replace F. Cachin with:
F. Cachin France
D. Cobben Netherlands
Phillips Tl United States
Arndt‐Christian Müller Germany
Laurent H. Schwartz France
Manabu Oguchi Japan
Olga C.J. Schuurbiers Netherlands
Adam Garsa United States
R. Thödtmann Germany
Béatrice Fournier Belgium
John C. Paschold relative to F. Cachin France F. Cachin's profile →
Citations per field
00.5×3.6×
F. Cachin · 1×
Citations per year

Countries citing papers authored by John C. Paschold

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with John C. Paschold Line = papers co-authored together John C. Paschold links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Recommendations on the Use of 18F-FDG PET in Oncology
Hit paper breakdown →
2008838
2 199655
3 20234
4 20241
5 20211
6 19961
7
Recommendations on the Use of 18F-FDG PET in Oncology
20140

About John C. Paschold

John C. Paschold is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research, General Health Professions and Oncology, having authored 7 papers that have together received 900 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Cancer Genomics and Diagnostics (2 papers), Phytoestrogen effects and research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Hermeneutics and Narrative Identity (1 paper), Lung Cancer Research Studies (1 paper), Aging, Elder Care, and Social Issues (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (414 citations), Otorhinolaryngology (62 citations), Pulmonary and Respiratory Medicine (175 citations), Cancer Research (71 citations) and Oncology (128 citations). John C. Paschold has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Heloisa P. Soares, Gary H. Lyman, Dominique Delbeke, R. Edward Coleman, Mark Gorman, Lawrence H. Einhorn, Richard L. Wahl, Benjamin Djulbegović, Anthony F. Shields and Val J. Lowe. Their work appears in journals such as Journal of Clinical Oncology, Fertility and Sterility, Journal of Nuclear Medicine, Maturitas and Journal of Thoracic 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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