Daniel Weber
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
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- Cancer survivorship and care
- CAR-T cell therapy research
Papers in
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- Gaze Tracking and Assistive Technology 8
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- Visual Attention and Saliency Detection 3
- Co-authors
- Kylie O’Brien (2 shared papers)Beatrice U. Mueller (1 shared paper)Julian Schardt (1 shared paper)Thomas Pabst (1 shared paper)Marianne Eyholzer (1 shared paper)Enkelejda Kasneci (5 shared papers)Geoffrey Michael Currie (3 shared papers)Andreas Zell (4 shared papers)
In The Last Decade
Daniel Weber
27 papers receiving 366 citations
Daniel Weber's Hit Papers
Peers
Comparison fields: 5 of 84
- Human-Computer Interaction 27
- Oncology 95
- Infectious Diseases 45
- Cell Biology 39
- Biological Psychiatry 5
Countries citing papers authored by Daniel Weber
This map shows the geographic impact of Daniel Weber'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 Daniel Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Weber more than expected).
Fields of papers citing papers by Daniel Weber
This network shows the impact of papers produced by Daniel Weber. 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 Daniel Weber. The network helps show where Daniel Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Weber, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 79 | |
| 2 | 2020 | 60 | |
| 3 | 2009 | 59 | |
| 4 | Targeting the intracellular immune checkpoint CISH with CRISPR-Cas9-edited T cells in patients with metastatic colorectal cancer: a first-in-human, single-centre, phase 1 trial Hit paper breakdown → | 2025 | 30 |
| 5 | 2020 | 16 | |
| 6 | 2016 | 16 | |
| 7 | 2014 | 13 | |
| 8 | 2002 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 9 | |
| 11 | Inflammation and cancer: tumor Initiation, progression and metastasis, and Chinese botanical medicines | 2010 | 8 |
| 12 | 2012 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 5 | |
| 19 | TweetNorm: Text Normalization on Italian Twitter Data. | 2016 | 3 |
| 20 | 2017 | 3 |
About Daniel Weber
Daniel Weber is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Immunology, Cancer Research and Oncology, having authored 29 papers that have together received 375 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (8 papers), Robotics and Sensor-Based Localization (4 papers), Visual Attention and Saliency Detection (3 papers), T-cell and B-cell Immunology (3 papers), Natural Language Processing Techniques (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Topic Modeling (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Human-Computer Interaction (27 citations), Oncology (95 citations), Infectious Diseases (45 citations), Cell Biology (39 citations) and Biological Psychiatry (5 citations). Daniel Weber has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Kylie O’Brien, Beatrice U. Mueller, Julian Schardt, Thomas Pabst, Marianne Eyholzer, Enkelejda Kasneci, Geoffrey Michael Currie, Andreas Zell, Wolfgang Fuhl and H. T. Haffner. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Journal of Autoimmunity, Genome biology, Journal of Chinese Integrative Medicine and The Lancet Oncology.
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.