Gregory Riedlinger
Impact in
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 14
- Oncology 15
- Cytokine Signaling Pathways and Interactions 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Lothar G. Hennighausen (8 shared papers)Keiko Miyoshi (3 shared papers)Shridar Ganesan (17 shared papers)Yongzhi Cui (2 shared papers)Gertraud W. Robinson (2 shared papers)Cuiling Li (1 shared paper)Chu‐Xia Deng (1 shared paper)Wei Tang (1 shared paper)
- Journals
- JCO Precision Oncology (4 papers)Journal of Pathology Informatics (4 papers)BMC Cancer (3 papers)Hepatology (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Gregory Riedlinger
62 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 126
- Oncology 891
- Cancer Research 414
- Immunology 495
- Hematology 141
- Pulmonary and Respiratory Medicine 365
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 417 | |
| 2 | 2021 | 236 | |
| 3 | 2017 | 183 | |
| 4 | 2000 | 178 | |
| 5 | 2018 | 151 | |
| 6 | 2006 | 137 | |
| 7 | 2002 | 115 | |
| 8 | 2010 | 94 | |
| 9 | 2019 | 92 | |
| 10 | 2022 | 85 | |
| 11 | 2018 | 78 | |
| 12 | 2019 | 67 | |
| 13 | 2017 | 65 | |
| 14 | 2019 | 57 | |
| 15 | 2001 | 54 | |
| 16 | 2012 | 43 | |
| 17 | 2012 | 43 | |
| 18 | Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images | 2018 | 38 |
| 19 | 2010 | 38 | |
| 20 | 2019 | 36 |
About Gregory Riedlinger
Gregory Riedlinger is a scholar working on Cancer Research, Oncology, Immunology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), AI in cancer detection (8 papers), Cytokine Signaling Pathways and Interactions (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer Research and Treatments (3 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Oncology (891 citations), Cancer Research (414 citations), Immunology (495 citations), Hematology (141 citations) and Pulmonary and Respiratory Medicine (365 citations). Gregory Riedlinger has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Lothar G. Hennighausen, Keiko Miyoshi, Shridar Ganesan, Yongzhi Cui, Gertraud W. Robinson, Cuiling Li, Chu‐Xia Deng, Wei Tang, Kay‐Uwe Wagner and Subhajyoti De. Their work appears in journals such as JCO Precision Oncology, Journal of Pathology Informatics, BMC Cancer, Hepatology 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.