Tim Treis
Impact in
- Ophthalmology top 10%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
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- Cell Image Analysis Techniques
Papers in
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- Retinal Diseases and Treatments 4
- Retinal and Optic Conditions 1
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- Retinal Imaging and Analysis 2
- COVID-19 diagnosis using AI 1
- Co-authors
- Philipp L. Mueller (7 shared papers)Maximilian Pfau (4 shared papers)Adnan Tufail (6 shared papers)Frank Gerhard Holz (4 shared papers)Philipp Herrmann (3 shared papers)Alexandru Odainic (2 shared papers)Sarela García‐Santamarina (1 shared paper)Narendra Dhingra (1 shared paper)
- Journals
- British Journal of Ophthalmology (2 papers)Journal of Clinical Medicine (1 paper)American Journal of Ophthalmology (1 paper)Translational Vision Science & Technology (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Tim Treis
10 papers receiving 204 citations
Tim Treis's Hit Papers
Peers
Comparison fields: 5 of 52
- Ophthalmology 36
- Biophysics 15
- Health Informatics 3
- Molecular Biology 92
- Radiology, Nuclear Medicine and Imaging 23
Countries citing papers authored by Tim Treis
This map shows the geographic impact of Tim Treis'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 Tim Treis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Treis more than expected).
Fields of papers citing papers by Tim Treis
This network shows the impact of papers produced by Tim Treis. 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 Tim Treis. The network helps show where Tim Treis may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Treis, 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 | SpatialData: an open and universal data framework for spatial omics Hit paper breakdown → | 2024 | 81 |
| 2 | 2021 | 22 | |
| 3 | 2023 | 20 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 17 | |
| 6 | 2024 | 17 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2023 | 0 |
About Tim Treis
Tim Treis is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Health Information Management, Molecular Biology and Infectious Diseases, having authored 11 papers that have together received 204 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), Retinal Development and Disorders (2 papers), Single-cell and spatial transcriptomics (2 papers), Retinal Imaging and Analysis (2 papers), COVID-19 diagnosis using AI (1 paper), Retinal and Optic Conditions (1 paper), Gene expression and cancer classification (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Ophthalmology (36 citations), Biophysics (15 citations), Health Informatics (3 citations), Molecular Biology (92 citations) and Radiology, Nuclear Medicine and Imaging (23 citations). Tim Treis has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Philipp L. Mueller, Maximilian Pfau, Adnan Tufail, Frank Gerhard Holz, Philipp Herrmann, Alexandru Odainic, Sarela García‐Santamarina, Narendra Dhingra, Athanasios Typas and Clare Bailey. Their work appears in journals such as British Journal of Ophthalmology, Journal of Clinical Medicine, American Journal of Ophthalmology, Translational Vision Science & Technology and Bioinformatics.
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.