D Müller-Wening

43 total papers · 563 total citations
24 papers, 396 citations indexed

About

D Müller-Wening is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Emergency Medical Services. According to data from OpenAlex, D Müller-Wening has authored 24 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Emergency Medical Services. Recurrent topics in D Müller-Wening's work include Occupational exposure and asthma (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers) and Pediatric health and respiratory diseases (6 papers). D Müller-Wening is often cited by papers focused on Occupational exposure and asthma (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers) and Pediatric health and respiratory diseases (6 papers). D Müller-Wening collaborates with scholars based in Germany, Austria and Estonia. D Müller-Wening's co-authors include Dirk Koschel, Eva‐B. Bröcker, Axel Trautmann, Cezmi A. Akdiş, Mübeccel Akdis, Ahmet Akkaya, Kurt Blaser, A Wildfeuer, H Laufen and O. Haferkamp and has published in prestigious journals such as CHEST Journal, European Respiratory Journal and Respiratory Medicine.

In The Last Decade

D Müller-Wening

24 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
D Müller-Wening 233 115 77 47 45 24 396
Joram S. Seggev 120 0.5× 33 0.3× 82 1.1× 73 1.6× 39 0.9× 24 366
D McGivern 160 0.7× 69 0.6× 107 1.4× 75 1.6× 39 0.9× 22 407
Felipe Mendoza 228 1.0× 81 0.7× 63 0.8× 35 0.7× 19 0.4× 19 352
Kazuki Konishi 248 1.1× 59 0.5× 167 2.2× 45 1.0× 21 0.5× 25 380
John A. Arkins 127 0.5× 39 0.3× 111 1.4× 19 0.4× 25 0.6× 22 409
Marjeta Terčelj 184 0.8× 42 0.4× 170 2.2× 36 0.8× 16 0.4× 36 371
Virginia Au 69 0.3× 46 0.4× 52 0.7× 76 1.6× 79 1.8× 17 413
Joseph R. Shaver 114 0.5× 45 0.4× 215 2.8× 37 0.8× 43 1.0× 18 372
T. G. Villar 195 0.8× 40 0.3× 217 2.8× 57 1.2× 52 1.2× 14 374
Atsushi Harimaya 76 0.3× 80 0.7× 49 0.6× 88 1.9× 36 0.8× 24 390

Countries citing papers authored by D Müller-Wening

Since Specialization
Citations

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

Fields of papers citing papers by D Müller-Wening

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D Müller-Wening. 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 D Müller-Wening. The network helps show where D Müller-Wening may publish in the future.

Co-authorship network of co-authors of D Müller-Wening

This figure shows the co-authorship network connecting the top 25 collaborators of D Müller-Wening. A scholar is included among the top collaborators of D Müller-Wening 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 D Müller-Wening. D Müller-Wening 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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