Timo Gaiser
- Oncology top 2%
- Colorectal Cancer Treatments and Studies 14
- HER2/EGFR in Cancer Research 11
- Health Informatics top 2%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 16
-
- Radiomics and Machine Learning in Medical Imaging 10
- Gastroenterology top 2%
- Gastrointestinal Tumor Research and Treatment 10
-
- Gastric Cancer Management and Outcomes 24
-
- Genetic factors in colorectal cancer 20
-
- Esophageal Cancer Research and Treatment 10
- Co-authors
- Markus D. SiegelinAlexander MarxJakob Nikolas KatherCleo‐Aron WeisAntje HabelDaniela HirschSusanne MelchersEsther Herpel
- Journals
- Journal of Clinical Oncology (7 papers)Annals of Oncology (6 papers)International Journal of Cancer (5 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Timo Gaiser
131 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Oncology 1.4k
- Health Informatics 61
- Cancer Research 625
- Radiology, Nuclear Medicine and Imaging 868
- Gastroenterology 175
Countries citing papers authored by Timo Gaiser
This map shows the geographic impact of Timo Gaiser'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 Timo Gaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Gaiser more than expected).
Fields of papers citing papers by Timo Gaiser
This network shows the impact of papers produced by Timo Gaiser. 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 Timo Gaiser. The network helps show where Timo Gaiser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timo Gaiser, 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 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 16 | |
| 10 | Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter studybreakdown → | 2019 | 611 |
| 11 | 2019 | 18 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 38 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 16 | |
| 17 | 2012 | 76 | |
| 18 | 2007 | 93 | |
| 19 | [Her-2/neu analysis--new data?]. | 2006 | 1 |
| 20 | 2002 | 17 |
About Timo Gaiser
Timo Gaiser is a scholar working on Oncology, Gastroenterology and Pathology and Forensic Medicine, having authored 134 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (24 papers), Genetic factors in colorectal cancer (20 papers), Cancer Genomics and Diagnostics (16 papers), Colorectal Cancer Treatments and Studies (14 papers), HER2/EGFR in Cancer Research (11 papers), Gastrointestinal Tumor Research and Treatment (10 papers), Esophageal Cancer Research and Treatment (10 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Oncology (1.4k citations), Health Informatics (61 citations) and Cancer Research (625 citations). Timo Gaiser has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Markus D. Siegelin, Alexander Marx, Jakob Nikolas Kather, Cleo‐Aron Weis, Antje Habel, Daniela Hirsch, Susanne Melchers, Esther Herpel, Thomas Ried and Inka Zörnig. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, International Journal of Cancer, European Journal of Cancer and Oncotarget.
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.