Gregory Riedlinger
Impact in
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Biomedical Text Mining and Ontologies 3
- Oncology 14
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Lothar Hennighausen (8 shared papers)Keiko Miyoshi (3 shared papers)Yongzhi Cui (2 shared papers)Gertraud W. Robinson (2 shared papers)Wei Tang (1 shared paper)Cuiling Li (1 shared paper)Chu‐Xia Deng (1 shared paper)Shridar Ganesan (20 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Journal of Pathology Informatics (4 papers)JCO Precision Oncology (4 papers)BMC Cancer (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Gregory Riedlinger
53 papers receiving 2.0k citations
Gregory Riedlinger's Hit Papers
Peers
Comparison fields: 5 of 115
- Oncology 670
- Cancer Research 316
- Immunology 414
- Molecular Biology 659
- Hematology 93
Countries citing papers authored by Gregory Riedlinger
This map shows the geographic impact of Gregory Riedlinger'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 Gregory Riedlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Riedlinger more than expected).
Fields of papers citing papers by Gregory Riedlinger
This network shows the impact of papers produced by Gregory Riedlinger. 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 Gregory Riedlinger. The network helps show where Gregory Riedlinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Riedlinger, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 405 | |
| 2 | Real-world application of tumor mutational burden-high (TMB-high) and microsatellite instability (MSI) confirms their utility as immunotherapy biomarkers Hit paper breakdown → | 2021 | 212 |
| 3 | 2000 | 171 | |
| 4 | 2006 | 132 | |
| 5 | 2018 | 122 | |
| 6 | 2002 | 114 | |
| 7 | 2010 | 86 | |
| 8 | 2019 | 83 | |
| 9 | 2017 | 57 | |
| 10 | 2019 | 54 | |
| 11 | 2001 | 51 | |
| 12 | 2012 | 41 | |
| 13 | 2012 | 39 | |
| 14 | 2010 | 36 | |
| 15 | 2018 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2019 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2016 | 26 | |
| 20 | 2002 | 23 |
About Gregory Riedlinger
Gregory Riedlinger is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), AI in cancer detection (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Renal cell carcinoma treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Research and Treatments (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Oncology (670 citations), Cancer Research (316 citations), Immunology (414 citations), Molecular Biology (659 citations) and Hematology (93 citations). Gregory Riedlinger has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Lothar Hennighausen, Keiko Miyoshi, Yongzhi Cui, Gertraud W. Robinson, Wei Tang, Cuiling Li, Chu‐Xia Deng, Shridar Ganesan, Edmund B. Rucker and Kay‐Uwe Wagner. Their work appears in journals such as Journal of Clinical Oncology, Journal of Pathology Informatics, JCO Precision Oncology, BMC Cancer and Molecular and Cellular Biology.
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.