Lutz Nährlich

70 total papers · 3.4k total citations
23 papers, 1.5k citations indexed

About

Lutz Nährlich is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Surgery. According to data from OpenAlex, Lutz Nährlich has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Lutz Nährlich's work include Cystic Fibrosis Research Advances (17 papers), Neonatal Respiratory Health Research (8 papers) and Tracheal and airway disorders (5 papers). Lutz Nährlich is often cited by papers focused on Cystic Fibrosis Research Advances (17 papers), Neonatal Respiratory Health Research (8 papers) and Tracheal and airway disorders (5 papers). Lutz Nährlich collaborates with scholars based in Germany, United States and Switzerland. Lutz Nährlich's co-authors include Gloria Herrmann, Corinna Engel, Andreas Hector, Constantin Adams, Joachim Riethmüller, Ute Graepler-Mainka, Vanya Icheva, Martin Stern, S. Heyder and Gerd Döring and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Frontiers in Pharmacology and Respiratory Medicine.

In The Last Decade

Lutz Nährlich

20 papers receiving 1.5k citations

Hit Papers

Therapy of CF-Patients wi... 2013 2026 2017 2021 2013 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Lutz Nährlich 1.0k 496 144 139 137 23 1.5k
S. Heyder 906 0.9× 518 1.0× 134 0.9× 149 1.1× 127 0.9× 10 1.4k
Vanya Icheva 833 0.8× 497 1.0× 193 1.3× 124 0.9× 181 1.3× 16 1.5k
Ute Graepler-Mainka 1.0k 1.0× 561 1.1× 166 1.2× 162 1.2× 135 1.0× 23 1.7k
Martin Stern 881 0.9× 484 1.0× 97 0.7× 342 2.5× 127 0.9× 16 1.6k
Xiao Xiao Tang 1.2k 1.1× 517 1.0× 178 1.2× 206 1.5× 90 0.7× 30 1.7k
Kimberlie A. Burns 762 0.7× 679 1.4× 244 1.7× 131 0.9× 126 0.9× 22 1.6k
Melissa A. Ashlock 1000 1.0× 494 1.0× 84 0.6× 154 1.1× 131 1.0× 27 1.6k
Annelotte M. Vonk 741 0.7× 482 1.0× 61 0.4× 84 0.6× 165 1.2× 30 1.7k
Mark J. Hoegger 988 1.0× 431 0.9× 112 0.8× 182 1.3× 69 0.5× 41 1.5k
Wei Wang 1.0k 1.0× 492 1.0× 70 0.5× 131 0.9× 90 0.7× 49 1.3k

Countries citing papers authored by Lutz Nährlich

Since Specialization
Citations

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

Fields of papers citing papers by Lutz Nährlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lutz Nährlich

This figure shows the co-authorship network connecting the top 25 collaborators of Lutz Nährlich. A scholar is included among the top collaborators of Lutz Nährlich 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 Lutz Nährlich. Lutz Nährlich 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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