Jens T. Siveke
- Oncology top 0.5%
- Pancreatic and Hepatic Oncology Research 108
- Peptidase Inhibition and Analysis 26
- Colorectal Cancer Treatments and Studies 24
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 44
- Immunology top 2%
- Hepatology top 2%
- Surgery top 2%
- Cholangiocarcinoma and Gallbladder Cancer Studies 16
- Pancreatitis Pathology and Treatment 14
- Pancreatic function and diabetes 13
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- Neuroendocrine Tumor Research Advances 22
- Co-authors
- Alf HamannRoland M. SchmidPaweł K. MazurGünter SchneiderMarija Trajkovic‐ArsicFlorian EckelMarcel LeeBence Sipos
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jens T. Siveke
223 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Oncology 3.6k
- Cancer Research 1.3k
- Immunology 1.2k
- Hepatology 376
- Surgery 1.7k
Countries citing papers authored by Jens T. Siveke
This map shows the geographic impact of Jens T. Siveke'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 Jens T. Siveke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens T. Siveke more than expected).
Fields of papers citing papers by Jens T. Siveke
This network shows the impact of papers produced by Jens T. Siveke. 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 Jens T. Siveke. The network helps show where Jens T. Siveke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jens T. Siveke, 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 | 9 | |
| 2 | 2024 | 2 | |
| 3 | CellViT: Vision Transformers for precise cell segmentation and classificationbreakdown → | 2024 | 96 |
| 4 | 2023 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 32 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 91 | |
| 11 | 2021 | 35 | |
| 12 | 2020 | 15 | |
| 13 | 2018 | 8 | |
| 14 | 2017 | 65 | |
| 15 | 2016 | 22 | |
| 16 | 2016 | 57 | |
| 17 | 2016 | 104 | |
| 18 | 2014 | 26 | |
| 19 | 2014 | 38 | |
| 20 | 2010 | 164 |
About Jens T. Siveke
Jens T. Siveke is a scholar working on Oncology, Cancer Research and Surgery, having authored 236 papers that have together received 6.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (108 papers), Cancer Genomics and Diagnostics (44 papers), Peptidase Inhibition and Analysis (26 papers), Colorectal Cancer Treatments and Studies (24 papers), Neuroendocrine Tumor Research Advances (22 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers), Pancreatitis Pathology and Treatment (14 papers) and Pancreatic function and diabetes (13 papers). The work is most often cited by research in Oncology (3.6k citations), Cancer Research (1.3k citations) and Immunology (1.2k citations). Jens T. Siveke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alf Hamann, Roland M. Schmid, Paweł K. Mazur, Günter Schneider, Marija Trajkovic‐Arsic, Florian Eckel, Marcel Lee, Bence Sipos, Annette Altmann and Uwe Haberkorn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.
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.