Manuel Stritt
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in ⓘ
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Inhalation and Respiratory Drug Delivery 2
- Pleural and Pulmonary Diseases 1
- Medical Imaging and Pathology Studies 1
- Co-authors
- Anna K. Stalder (5 shared papers)Enrico Vezzali (3 shared papers)Oliver Nayler (4 shared papers)Patrick Hess (2 shared papers)Peter Groenen (1 shared paper)Urs Lüthi (3 shared papers)Andrew Douglas (1 shared paper)Abhay Pandit (1 shared paper)
- Journals
- PLoS ONE (3 papers)PLoS Computational Biology (1 paper)Histopathology (1 paper)Oncotarget (1 paper)Hypertension (1 paper)
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Manuel Stritt
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 77
- Internal Medicine 32
- Biophysics 32
- Pulmonary and Respiratory Medicine 88
- Epidemiology 63
- Health Informatics 2
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 | 92 | |
| 2 | 2019 | 52 | |
| 3 | 2018 | 36 | |
| 4 | 2018 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2016 | 19 | |
| 7 | 2011 | 15 | |
| 8 | 2015 | 8 | |
| 9 | Supervised Machine Learning Methods for Quantification of Pulmonary Fibrosis. | 2011 | 5 |
| 10 | 2010 | 1 |
About Manuel Stritt
Manuel Stritt is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Computer Networks and Communications and Dermatology, having authored 10 papers that have together received 273 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Inhalation and Respiratory Drug Delivery (2 papers), Cell Image Analysis Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper), Pleural and Pulmonary Diseases (1 paper), Dermatology and Skin Diseases (1 paper), Medical Imaging and Pathology Studies (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Internal Medicine (32 citations), Biophysics (32 citations), Pulmonary and Respiratory Medicine (88 citations), Epidemiology (63 citations) and Health Informatics (2 citations). Manuel Stritt has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Anna K. Stalder, Enrico Vezzali, Oliver Nayler, Patrick Hess, Peter Groenen, Urs Lüthi, Andrew Douglas, Abhay Pandit, Michael Gilvarry and Patrick Sieber. Their work appears in journals such as PLoS ONE, PLoS Computational Biology, Histopathology, Oncotarget and Hypertension.
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.