Ingo K. Mellinghoff
- Genetics top 0.1%
- Glioma Diagnosis and Treatment 71
- Cancer Research top 0.2%
- Cancer, Hypoxia, and Metabolism 19
- Cancer Genomics and Diagnostics 14
- Molecular Biology top 0.5%
- PI3K/AKT/mTOR signaling in cancer 13
- Oncology top 1%
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- Brain Metastases and Treatment 12
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- Radiomics and Machine Learning in Medical Imaging 19
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- Lymphoma Diagnosis and Treatment 15
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- CNS Lymphoma Diagnosis and Treatment 14
- Co-authors
- Charles L. SawyersLauren SchaffChris TranCarl CamposRoss L. LevineCraig B. ThompsonŞevin TurcanPatrick S. Ward
- Journals
- Journal of Clinical Oncology (28 papers)Neuro-Oncology (26 papers)Clinical Cancer Research (9 papers)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Ingo K. Mellinghoff
149 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Genetics 3.3k
- Cancer Research 3.6k
- Molecular Biology 6.3k
- Oncology 2.1k
- Pulmonary and Respiratory Medicine 2.0k
Countries citing papers authored by Ingo K. Mellinghoff
This map shows the geographic impact of Ingo K. Mellinghoff'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 Ingo K. Mellinghoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo K. Mellinghoff more than expected).
Fields of papers citing papers by Ingo K. Mellinghoff
This network shows the impact of papers produced by Ingo K. Mellinghoff. 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 Ingo K. Mellinghoff. The network helps show where Ingo K. Mellinghoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ingo K. Mellinghoff, 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 | 2025 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 26 | |
| 14 | 2018 | 176 | |
| 15 | 2015 | 93 | |
| 16 | 2012 | 114 | |
| 17 | 2012 | 60 | |
| 18 | 2008 | 81 | |
| 19 | 2006 | 179 | |
| 20 | 2006 | 119 |
About Ingo K. Mellinghoff
Ingo K. Mellinghoff is a scholar working on Genetics, Cancer Research, Neurology, Pathology and Forensic Medicine and Structural Biology, having authored 157 papers that have together received 11.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (71 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Cancer, Hypoxia, and Metabolism (19 papers), Lymphoma Diagnosis and Treatment (15 papers), CNS Lymphoma Diagnosis and Treatment (14 papers), Cancer Genomics and Diagnostics (14 papers), PI3K/AKT/mTOR signaling in cancer (13 papers) and Brain Metastases and Treatment (12 papers). The work is most often cited by research in Genetics (3.3k citations), Cancer Research (3.6k citations), Molecular Biology (6.3k citations), Oncology (2.1k citations) and Pulmonary and Respiratory Medicine (2.0k citations). Ingo K. Mellinghoff has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Charles L. Sawyers, Lauren Schaff, Chris Tran, Carl Campos, Ross L. Levine, Craig B. Thompson, Şevin Turcan, Patrick S. Ward, Chao Lü and Igor Vivanco. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Clinical Cancer Research, Proceedings of the National Academy of Sciences and Blood.
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.