Martin Decaris

68 total papers · 1.4k total citations
34 papers, 834 citations indexed

About

Martin Decaris is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Martin Decaris has authored 34 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 9 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Martin Decaris's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Liver Disease Diagnosis and Treatment (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Martin Decaris is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Liver Disease Diagnosis and Treatment (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Martin Decaris collaborates with scholars based in United States, France and Spain. Martin Decaris's co-authors include J. Kent Leach, Scott Turner, Rik Derynck, Erine H. Budi, Johanna Schaub, Archana Bhat, Marc K. Hellerstein, Kelvin W. Li, Claire Emson and Michelle Gatmaitan and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.

In The Last Decade

Martin Decaris

32 papers receiving 828 citations

Hit Papers

TGF‐β as a driver of fibr... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Decaris 213 201 197 152 133 34 834
Sahar Mirpour 226 1.1× 135 0.7× 138 0.7× 71 0.5× 117 0.9× 53 916
Cong Wang 104 0.5× 202 1.0× 111 0.6× 164 1.1× 126 0.9× 35 704
Dalong Wan 179 0.8× 271 1.3× 167 0.8× 148 1.0× 232 1.7× 30 1.1k
Reynold I. Lopez‐Soler 253 1.2× 427 2.1× 74 0.4× 119 0.8× 91 0.7× 40 1.0k
Zongliu Hou 166 0.8× 441 2.2× 63 0.3× 114 0.8× 118 0.9× 59 987
Josef Mueller‐Hoecker 339 1.6× 333 1.7× 67 0.3× 68 0.4× 71 0.5× 24 1.0k
Yu Liu 136 0.6× 186 0.9× 89 0.5× 50 0.3× 50 0.4× 39 723
Lei Zhang 122 0.6× 266 1.3× 102 0.5× 85 0.6× 162 1.2× 54 781
Chi Zhang 225 1.1× 363 1.8× 105 0.5× 70 0.5× 43 0.3× 42 836
J. Rauterberg 173 0.8× 273 1.4× 62 0.3× 82 0.5× 109 0.8× 42 1.1k

Countries citing papers authored by Martin Decaris

Since Specialization
Citations

This map shows the geographic impact of Martin Decaris'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 Martin Decaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Decaris more than expected).

Fields of papers citing papers by Martin Decaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Decaris. 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 Martin Decaris. The network helps show where Martin Decaris may publish in the future.

Co-authorship network of co-authors of Martin Decaris

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Decaris. A scholar is included among the top collaborators of Martin Decaris 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 Martin Decaris. Martin Decaris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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