David G. Morris

24 total papers · 2.1k total citations
17 papers, 1.5k citations indexed

About

David G. Morris is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Molecular Biology. According to data from OpenAlex, David G. Morris has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in David G. Morris's work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Asthma and respiratory diseases (3 papers). David G. Morris is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Asthma and respiratory diseases (3 papers). David G. Morris collaborates with scholars based in United States, Australia and Switzerland. David G. Morris's co-authors include Dean Sheppard, Naftali Kaminski, Xiaozhu Huang, Fengrong Zuo, Renu A. Heller, John Allard, Gregory Dolganov, Adam B. Glick, Steven D. Shapiro and Yanli Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

David G. Morris

17 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
David G. Morris 948 397 215 175 160 17 1.5k
Robert O’Connor 1.0k 1.1× 483 1.2× 146 0.7× 138 0.8× 84 0.5× 24 1.6k
Amanda L. Tatler 798 0.8× 416 1.0× 269 1.3× 244 1.4× 54 0.3× 33 1.5k
Carolina García de Alba 768 0.8× 318 0.8× 165 0.8× 152 0.9× 79 0.5× 18 1.3k
William R. Coward 498 0.5× 365 0.9× 309 1.4× 471 2.7× 88 0.6× 27 1.4k
Amber L. Degryse 1.1k 1.2× 386 1.0× 118 0.5× 168 1.0× 76 0.5× 14 1.5k
J. Marchal-Sommé 788 0.8× 417 1.1× 146 0.7× 181 1.0× 62 0.4× 29 1.4k
Sandra Cabrera 790 0.8× 527 1.3× 139 0.6× 158 0.9× 171 1.1× 18 1.8k
Edmond C. Crouch 925 1.0× 504 1.3× 119 0.6× 230 1.3× 48 0.3× 22 1.9k
M. Michele Hogan 365 0.4× 315 0.8× 143 0.7× 368 2.1× 119 0.7× 14 1.6k
Nicholas K. Harrison 774 0.8× 283 0.7× 278 1.3× 75 0.4× 42 0.3× 16 1.3k

Countries citing papers authored by David G. Morris

Since Specialization
Citations

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

Fields of papers citing papers by David G. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Morris. 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 David G. Morris. The network helps show where David G. Morris may publish in the future.

Co-authorship network of co-authors of David G. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Morris. A scholar is included among the top collaborators of David G. Morris 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 David G. Morris. David G. Morris 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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