Manuel Stritt
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Venous Thromboembolism Diagnosis and Management
Papers in
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Inhalation and Respiratory Drug Delivery 2
- Co-authors
- Anna K. Stalder (5 shared papers)Enrico Vezzali (3 shared papers)Oliver Nayler (4 shared papers)Lars Schmidt-Thieme (3 shared papers)Patrick Hess (2 shared papers)Peter Groenen (1 shared paper)Urs Lüthi (3 shared papers)David F. Kallmes (1 shared paper)
- Journals
- PLoS ONE (3 papers)Histopathology (1 paper)Expert Opinion on Drug Discovery (1 paper)PLoS Computational Biology (1 paper)Oncotarget (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Manuel Stritt
12 papers receiving 309 citations
Peers
Comparison fields: 5 of 82
- Biophysics 33
- Internal Medicine 13
- Pulmonary and Respiratory Medicine 74
- Artificial Intelligence 63
- Epidemiology 46
Countries citing papers authored by Manuel Stritt
This map shows the geographic impact of Manuel Stritt'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 Manuel Stritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Stritt more than expected).
Fields of papers citing papers by Manuel Stritt
This network shows the impact of papers produced by Manuel Stritt. 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 Manuel Stritt. The network helps show where Manuel Stritt may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Stritt, 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 | 2020 | 98 | |
| 2 | 2019 | 54 | |
| 3 | 2018 | 40 | |
| 4 | 2022 | 25 | |
| 5 | 2018 | 25 | |
| 6 | 2016 | 20 | |
| 7 | 2006 | 17 | |
| 8 | 2011 | 15 | |
| 9 | 2015 | 9 | |
| 10 | 2007 | 9 | |
| 11 | Supervised Machine Learning Methods for Quantification of Pulmonary Fibrosis. | 2011 | 5 |
| 12 | 2010 | 2 | |
| 13 | 2007 | 1 |
About Manuel Stritt
Manuel Stritt is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Molecular Biology, Information Systems and Epidemiology, having authored 13 papers that have together received 320 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Inhalation and Respiratory Drug Delivery (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Wikis in Education and Collaboration (1 paper), Medical Imaging Techniques and Applications (1 paper), Service-Oriented Architecture and Web Services (1 paper), Cancer Cells and Metastasis (1 paper) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Biophysics (33 citations), Internal Medicine (13 citations), Pulmonary and Respiratory Medicine (74 citations), Artificial Intelligence (63 citations) and Epidemiology (46 citations). Manuel Stritt has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Anna K. Stalder, Enrico Vezzali, Oliver Nayler, Lars Schmidt-Thieme, Patrick Hess, Peter Groenen, Urs Lüthi, David F. Kallmes, Waleed Brinjikji and Patrick Sieber. Their work appears in journals such as PLoS ONE, Histopathology, Expert Opinion on Drug Discovery, PLoS Computational Biology 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.