Kit Curtius
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 9
- Oncology 6
- Colorectal Cancer Screening and Detection 4
- Co-authors
- Trevor A. Graham (7 shared papers)William D. Hazelton (10 shared papers)E. Georg Luebeck (10 shared papers)Jihyoun Jeon (3 shared papers)John M. Inadomi (5 shared papers)Ibrahim Al Bakir (4 shared papers)Amitabh Chak (3 shared papers)Joel H. Rubenstein (4 shared papers)
- Journals
- Gut (4 papers)Cancer Research (4 papers)PLoS Computational Biology (3 papers)Nature Communications (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Kit Curtius
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 149
- Cancer Research 223
- Oncology 239
- Otorhinolaryngology 36
- Pathology and Forensic Medicine 98
Countries citing papers authored by Kit Curtius
This map shows the geographic impact of Kit Curtius'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 Kit Curtius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit Curtius more than expected).
Fields of papers citing papers by Kit Curtius
This network shows the impact of papers produced by Kit Curtius. 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 Kit Curtius. The network helps show where Kit Curtius may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit Curtius, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 363 | |
| 2 | 2019 | 147 | |
| 3 | 2018 | 129 | |
| 4 | 2012 | 78 | |
| 5 | 2022 | 67 | |
| 6 | 2014 | 58 | |
| 7 | 2020 | 55 | |
| 8 | 2020 | 38 | |
| 9 | 2015 | 34 | |
| 10 | 2016 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2015 | 24 | |
| 14 | 2022 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2017 | 20 | |
| 18 | 2022 | 14 | |
| 19 | 2025 | 11 | |
| 20 | 2022 | 9 |
About Kit Curtius
Kit Curtius is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Modeling and Simulation and Surgery, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (9 papers), Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (5 papers), Inflammatory Bowel Disease (4 papers), Colorectal Cancer Screening and Detection (4 papers), Epigenetics and DNA Methylation (3 papers), Mathematical Biology Tumor Growth (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Modeling and Simulation (149 citations), Cancer Research (223 citations), Oncology (239 citations), Otorhinolaryngology (36 citations) and Pathology and Forensic Medicine (98 citations). Kit Curtius has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Trevor A. Graham, William D. Hazelton, E. Georg Luebeck, Jihyoun Jeon, John M. Inadomi, Ibrahim Al Bakir, Amitabh Chak, Joel H. Rubenstein, Ville Mustonen and Qingli Guo. Their work appears in journals such as Gut, Cancer Research, PLoS Computational Biology, Nature Communications and Cancer Epidemiology Biomarkers & Prevention.
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.