Inti Zlobec
- Oncology top 0.2%
- Colorectal Cancer Treatments and Studies 58
- Colorectal Cancer Surgical Treatments 57
- Colorectal Cancer Screening and Detection 47
- Cancer Immunotherapy and Biomarkers 38
- Cancer Cells and Metastasis 31
- Pancreatic and Hepatic Oncology Research 25
- Pathology and Forensic Medicine top 0.2%
- Genetic factors in colorectal cancer 77
- Cancer Research top 0.5%
- Immunology top 1%
- Otorhinolaryngology top 1%
-
- Radiomics and Machine Learning in Medical Imaging 28
- Co-authors
- Alessandro LugliLuigi TerraccianoEva KaramitopoulouLuigi TornilloViktor H. KoelzerJeremy R. JassKristi BakerHeather Dawson
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Inti Zlobec
263 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Oncology 6.9k
- Pathology and Forensic Medicine 2.5k
- Cancer Research 2.0k
- Immunology 2.0k
- Otorhinolaryngology 406
Countries citing papers authored by Inti Zlobec
This map shows the geographic impact of Inti Zlobec'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 Inti Zlobec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inti Zlobec more than expected).
Fields of papers citing papers by Inti Zlobec
This network shows the impact of papers produced by Inti Zlobec. 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 Inti Zlobec. The network helps show where Inti Zlobec may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inti Zlobec, 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 | 0 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 41 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 7 | |
| 11 | Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping | 2021 | 3 |
| 12 | 2020 | 7 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 24 | |
| 15 | 2018 | 61 | |
| 16 | 2018 | 142 | |
| 17 | 2016 | 7 | |
| 18 | Immunohistochemistry Helps To Discriminate between Symplastic Leiomyoma and Leiomyosarcoma of the Uterus | 2013 | 1 |
| 19 | 2007 | 23 | |
| 20 | 2006 | 2 |
About Inti Zlobec
Inti Zlobec is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 276 papers that have together received 12.0k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (77 papers), Colorectal Cancer Treatments and Studies (58 papers), Colorectal Cancer Surgical Treatments (57 papers), Colorectal Cancer Screening and Detection (47 papers), Cancer Immunotherapy and Biomarkers (38 papers), Cancer Cells and Metastasis (31 papers), Radiomics and Machine Learning in Medical Imaging (28 papers) and Pancreatic and Hepatic Oncology Research (25 papers). The work is most often cited by research in Oncology (6.9k citations), Pathology and Forensic Medicine (2.5k citations) and Cancer Research (2.0k citations). Inti Zlobec has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Alessandro Lugli, Luigi Terracciano, Eva Karamitopoulou, Luigi Tornillo, Viktor H. Koelzer, Jeremy R. Jass, Kristi Baker, Heather Dawson, Andrea Kopp Lugli and Martin D. Berger. Their work appears in journals such as Histopathology, Modern Pathology, Human Pathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and British Journal of Cancer.
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.