Heiko M. Schöder
Impact in
- Otorhinolaryngology top 0.2%
- Head and Neck Cancer Studies
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
Papers in
-
- Medical Imaging Techniques and Applications 92
- Radiomics and Machine Learning in Medical Imaging 48
- Radiopharmaceutical Chemistry and Applications 30
-
- Lymphoma Diagnosis and Treatment 105
- Co-authors
- Steven M. Larson (57 shared papers)Mithat Gonen (37 shared papers)HENRY W. D. YEUNG (14 shared papers)John Laurence Humm (59 shared papers)Yusuf Emre Erdi (15 shared papers)Sadek A. Nehmeh (22 shared papers)Nancy Y. Lee (31 shared papers)Dennis H. Kraus (8 shared papers)
- Journals
- Journal of Nuclear Medicine (54 papers)Blood (30 papers)International Journal of Radiation Oncology*Biology*Physics (29 papers)European Journal of Nuclear Medicine and Molecular Imaging (25 papers)Journal of Clinical Oncology (18 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Heiko M. Schöder
366 papers receiving 20.3k citations
Heiko M. Schöder's Hit Papers
Peers
Comparison fields: 5 of 161
- Otorhinolaryngology 1.5k
- Radiology, Nuclear Medicine and Imaging 7.5k
- Pathology and Forensic Medicine 4.2k
- Pulmonary and Respiratory Medicine 5.7k
- Oncology 3.9k
Countries citing papers authored by Heiko M. Schöder
This map shows the geographic impact of Heiko M. Schöder'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 Heiko M. Schöder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko M. Schöder more than expected).
Fields of papers citing papers by Heiko M. Schöder
This network shows the impact of papers produced by Heiko M. Schöder. 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 Heiko M. Schöder. The network helps show where Heiko M. Schöder may publish in the future.
Co-authors
The 25 scholars most cited alongside Heiko M. Schöder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 383 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 68Ga-PSMA PET/CT: Joint EANM and SNMMI procedure guideline for prostate cancer imaging: version 1.0 Hit paper breakdown → | 2017 | 628 |
| 2 | Clinical translation of an ultrasmall inorganic optical-PET imaging nanoparticle probe Hit paper breakdown → | 2014 | 621 |
| 3 | Assessment of 68 Ga-PSMA-11 PET Accuracy in Localizing Recurrent Prostate Cancer Hit paper breakdown → | 2019 | 601 |
| 4 | Brown adipose tissue is associated with cardiometabolic health Hit paper breakdown → | 2021 | 522 |
| 5 | 2005 | 411 | |
| 6 | Effect of respiratory gating on quantifying PET images of lung cancer. | 2002 | 352 |
| 7 | 2004 | 330 | |
| 8 | Dose-Adjusted EPOCH-R Compared With R-CHOP as Frontline Therapy for Diffuse Large B-Cell Lymphoma: Clinical Outcomes of the Phase III Intergroup Trial Alliance/CALGB 50303 Hit paper breakdown → | 2019 | 324 |
| 9 | Patterns of (18)F-FDG uptake in adipose tissue and muscle: a potential source of false-positives for PET. | 2003 | 313 |
| 10 | 2004 | 300 | |
| 11 | EANM procedure guidelines for radionuclide therapy with 177Lu-labelled PSMA-ligands (177Lu-PSMA-RLT) Hit paper breakdown → | 2019 | 289 |
| 12 | Radiotheranostics in oncology: current challenges and emerging opportunities Hit paper breakdown → | 2022 | 288 |
| 13 | 2004 | 281 | |
| 14 | 2010 | 269 | |
| 15 | 2017 | 259 | |
| 16 | 2002 | 257 | |
| 17 | 2012 | 257 | |
| 18 | The CT motion quantitation of lung lesions and its impact on PET-measured SUVs. | 2004 | 244 |
| 19 | PSMA PET/CT: joint EANM procedure guideline/SNMMI procedure standard for prostate cancer imaging 2.0 Hit paper breakdown → | 2023 | 238 |
| 20 | 2011 | 231 |
About Heiko M. Schöder
Heiko M. Schöder is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Oncology, having authored 383 papers that have together received 20.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (105 papers), Medical Imaging Techniques and Applications (92 papers), Radiomics and Machine Learning in Medical Imaging (48 papers), Lung Cancer Treatments and Mutations (33 papers), Head and Neck Cancer Studies (33 papers), Radiopharmaceutical Chemistry and Applications (30 papers), Prostate Cancer Treatment and Research (26 papers) and CNS Lymphoma Diagnosis and Treatment (23 papers). The work is most often cited by research in Otorhinolaryngology (1.5k citations), Radiology, Nuclear Medicine and Imaging (7.5k citations), Pathology and Forensic Medicine (4.2k citations), Pulmonary and Respiratory Medicine (5.7k citations) and Oncology (3.9k citations). Heiko M. Schöder has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Steven M. Larson, Mithat Gonen, HENRY W. D. YEUNG, John Laurence Humm, Yusuf Emre Erdi, Sadek A. Nehmeh, Nancy Y. Lee, Dennis H. Kraus, Olivia D. Squire and Ken Herrmann. Their work appears in journals such as Journal of Nuclear Medicine, Blood, International Journal of Radiation Oncology*Biology*Physics, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Clinical 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.