Ursula M. Ney

17 total papers · 420 total citations
10 papers, 306 citations indexed

About

Ursula M. Ney is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Ursula M. Ney has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Pulmonary and Respiratory Medicine and 2 papers in Immunology. Recurrent topics in Ursula M. Ney's work include Asthma and respiratory diseases (7 papers), Respiratory and Cough-Related Research (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Ursula M. Ney is often cited by papers focused on Asthma and respiratory diseases (7 papers), Respiratory and Cough-Related Research (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Ursula M. Ney collaborates with scholars based in United Kingdom, United States and Germany. Ursula M. Ney's co-authors include Jennifer Maclagan, Mark Sopwith, Christian Richard, Jean-François Dhainaut, Sue Stephens, Philippe Lejeune, Claude Martin, Lisiane Fierobe, Jean‐Louis Vincent and Ulrich Martin and has published in prestigious journals such as Critical Care Medicine, British Journal of Pharmacology and European Journal of Pharmacology.

In The Last Decade

Ursula M. Ney

10 papers receiving 269 citations

Author Peers

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

Author Last Decade Papers Cites
Ursula M. Ney 117 80 77 70 62 10 306
Scott Worthen 151 1.3× 127 1.6× 67 0.9× 54 0.8× 22 0.4× 9 364
Margarita Fuhrmann 161 1.4× 86 1.1× 156 2.0× 72 1.0× 16 0.3× 10 353
Anouk Oldenburger 72 0.6× 86 1.1× 120 1.6× 27 0.4× 47 0.8× 15 279
Ronald G. Van Valen 93 0.8× 43 0.5× 83 1.1× 59 0.8× 36 0.6× 12 360
Kimberly A. Queisser 88 0.8× 88 1.1× 117 1.5× 62 0.9× 29 0.5× 14 322
Carmen Calabresi 108 0.9× 47 0.6× 84 1.1× 31 0.4× 32 0.5× 12 325
Franz-Xaver Beck 55 0.5× 34 0.4× 124 1.6× 50 0.7× 20 0.3× 11 319
J. S. Mann 182 1.6× 119 1.5× 62 0.8× 50 0.7× 8 0.1× 10 316
Christian Karcher 44 0.4× 38 0.5× 142 1.8× 63 0.9× 37 0.6× 10 355
Gabriela Cavriani 83 0.7× 67 0.8× 44 0.6× 47 0.7× 23 0.4× 8 277

Countries citing papers authored by Ursula M. Ney

Since Specialization
Citations

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

Fields of papers citing papers by Ursula M. Ney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula M. Ney. 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 Ursula M. Ney. The network helps show where Ursula M. Ney may publish in the future.

Co-authorship network of co-authors of Ursula M. Ney

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula M. Ney. A scholar is included among the top collaborators of Ursula M. Ney 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 Ursula M. Ney. Ursula M. Ney 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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