Manuel Stritt

403 total citations
10 papers, 273 citations indexed

About

Manuel Stritt is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Manuel Stritt has authored 10 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 2 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Manuel Stritt's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Cancer Cells and Metastasis (1 paper). Manuel Stritt is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Cancer Cells and Metastasis (1 paper). Manuel Stritt collaborates with scholars based in Switzerland, United States and Netherlands. Manuel Stritt's co-authors include Anna K. Stalder, Enrico Vezzali, Oliver Nayler, Patrick Hess, Peter Groenen, Urs Lüthi, Patrick Sieber, Asim Rizvi, Ramanathan Kadirvel and Ray McCarthy and has published in prestigious journals such as PLoS ONE, Hypertension and PLoS Computational Biology.

In The Last Decade

Manuel Stritt

10 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Manuel Stritt Switzerland	8	88	63	62	40	32	10	273
Jiehua Li China	11	131 1.5×	30 0.5×	72 1.2×	18 0.5×	7 0.2×	43	359
M. Bhattacharjee India	10	78 0.9×	107 1.7×	94 1.5×	7 0.2×	11 0.3×	29	379
Sepehr Hamidi United States	11	35 0.4×	28 0.4×	50 0.8×	7 0.2×	10 0.3×	23	323
Paula Blanco Canada	11	94 1.1×	27 0.4×	133 2.1×	33 0.8×	3 0.1×	32	446
Lan Shen China	12	60 0.7×	14 0.2×	128 2.1×	22 0.6×	12 0.4×	41	406
Koen T. B. Mouchaers Netherlands	8	249 2.8×	25 0.4×	74 1.2×	6 0.1×	11 0.3×	8	448
Tetsuhiro Kakimoto Japan	14	79 0.9×	33 0.5×	154 2.5×	79 2.0×	2 0.1×	23	602
Erin Oerton United Kingdom	7	45 0.5×	44 0.7×	314 5.1×	7 0.2×	6 0.2×	8	507
Quanbin Zhang China	10	86 1.0×	63 1.0×	53 0.9×	26 0.7×	8 0.3×	34	346

Countries citing papers authored by Manuel Stritt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Manuel Stritt

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Stritt. A scholar is included among the top collaborators of Manuel Stritt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel Stritt. Manuel Stritt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Sieber, Patrick, Urs Lüthi, Jesper Ryge, et al.. (2022). NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model. JCI Insight. 8(3). 22 indexed citations

Stritt, Manuel, Anna K. Stalder, & Enrico Vezzali. (2020). Orbit Image Analysis: An open-source whole slide image analysis tool. PLoS Computational Biology. 16(2). e1007313–e1007313. 92 indexed citations

Fitzgerald, Seán, Daying Dai, Dennis H. Murphree, et al.. (2019). Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots. PLoS ONE. 14(12). e0225841–e0225841. 52 indexed citations

Sieber, Patrick, Manuel Stritt, Richard W.D. Welford, et al.. (2018). Novel high–throughput myofibroblast assays identify agonists with therapeutic potential in pulmonary fibrosis that act via EP2 and EP4 receptors. PLoS ONE. 13(11). e0207872–e0207872. 23 indexed citations

Stritt, Manuel, Enrico Vezzali, Oliver Nayler, et al.. (2018). A fully automated image analysis method to quantify lung fibrosis in the bleomycin-induced rat model. PLoS ONE. 13(3). e0193057–e0193057. 36 indexed citations

Lüthi, Urs, François Lehembre, Tobias Fink, et al.. (2016). A high-content EMT screen identifies multiple receptor tyrosine kinase inhibitors with activity on TGFβ receptor. Oncotarget. 7(18). 25983–26002. 19 indexed citations

Stritt, Manuel, Kathrin Doppler, Stephan Frank, et al.. (2015). A semi‐automated method to assess intraepidermal nerve fibre density in human skin biopsies. Histopathology. 68(5). 657–665. 8 indexed citations

Stritt, Manuel, et al.. (2011). Supervised Machine Learning Methods for Quantification of Pulmonary Fibrosis.. 24–37. 5 indexed citations

Bauer, Yasmina, Patrick Hess, Changbin Qiu, et al.. (2011). Identification of Cathepsin L as a Potential Sex-Specific Biomarker for Renal Damage. Hypertension. 57(4). 795–801. 15 indexed citations

10.

Korff, Modest von, et al.. (2010). Integration of distributed computing into the drug discovery process. Expert Opinion on Drug Discovery. 6(2). 103–107. 1 indexed citations

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.

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