David G. Morris

2.1k total citations
17 papers, 1.6k 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 1.6k 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 Neonatal Respiratory Health Research (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 Neonatal Respiratory Health Research (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, Renu A. Heller, Fengrong Zuo, John Allard, Yanli Wang, Steven D. Shapiro, Gregory Dolganov and Adam B. Glick 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David G. Morris United States 13 950 397 215 175 160 17 1.6k
Helen Parfrey United Kingdom 19 1.1k 1.2× 231 0.6× 369 1.7× 97 0.6× 151 0.9× 51 1.6k
Morio Ohtsuka Japan 20 887 0.9× 204 0.5× 190 0.9× 136 0.8× 89 0.6× 110 1.4k
Y Fukuda Japan 12 746 0.8× 166 0.4× 88 0.4× 54 0.3× 87 0.5× 39 1.1k
Kazuhisa Konishi Japan 8 1.0k 1.1× 380 1.0× 208 1.0× 77 0.4× 134 0.8× 16 1.4k
Danielle Antin‐Ozerkis United States 13 659 0.7× 362 0.9× 191 0.9× 119 0.7× 60 0.4× 28 1.2k
Stephen A. Mette United States 11 460 0.5× 409 1.0× 65 0.3× 161 0.9× 82 0.5× 18 1.4k
M.C. Copin France 17 437 0.5× 172 0.4× 117 0.5× 207 1.2× 54 0.3× 42 1.1k
Alastair Hansen Denmark 20 171 0.2× 303 0.8× 261 1.2× 118 0.7× 71 0.4× 52 1.3k
Beatriz Lifschitz‐Mercer Israel 21 388 0.4× 389 1.0× 56 0.3× 173 1.0× 85 0.5× 73 1.5k
Carrie Fidler United Kingdom 28 159 0.2× 972 2.4× 333 1.5× 211 1.2× 106 0.7× 61 2.8k

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

17 of 17 papers shown
1.
Donohue, James F., Paul Jones, Christian Bartels, et al.. (2017). Correlations between FEV1 and patient-reported outcomes: A pooled analysis of 23 clinical trials in patients with chronic obstructive pulmonary disease. Pulmonary Pharmacology & Therapeutics. 49. 11–19. 44 indexed citations
2.
Renard, Didier, Michael Looby, Benjamin Krämer, et al.. (2011). Characterization of the bronchodilatory dose response to indacaterol in patients with chronic obstructive pulmonary disease using model-based approaches. Respiratory Research. 12(1). 54–54. 36 indexed citations
3.
Zhang, Tingting, Kyung Song, Mohammad Hekmat-Nejad, David G. Morris, & Brian Wong. (2009). A Modeling-Derived Hypothesis on Chronicity in Respiratory Diseases: Desensitized Pathogen Recognition Secondary to Hyperactive IRAK/TRAF6 Signaling. PLoS ONE. 4(4). e5332–e5332. 6 indexed citations
4.
Liles, E. Allen, Julie Blatt, David G. Morris, et al.. (2008). Monitoring pulmonary complications in long-term childhood cancer survivors: Guidelines for the primary care physician. Cleveland Clinic Journal of Medicine. 75(7). 531–539. 26 indexed citations
5.
Koth, Laura L., Samuel Hawgood, Michael Nead, et al.. (2007). Integrin β6 Mediates Phospholipid and Collectin Homeostasis by Activation of Latent TGF-β1. American Journal of Respiratory Cell and Molecular Biology. 37(6). 651–659. 33 indexed citations
6.
Morris, David G. & Dean Sheppard. (2006). Pulmonary Emphysema: When More is Less. Physiology. 21(6). 396–403. 13 indexed citations
7.
Palmer, Edward, et al.. (2005). Assessment of an electronic voting system within the tutorial setting: A randomised controlled trial [ISRCTN54535861]. BMC Medical Education. 5(1). 24–24. 25 indexed citations
8.
Morris, David G., Xiaozhu Huang, Naftali Kaminski, et al.. (2003). Loss of integrin αvβ6-mediated TGF-β activation causes Mmp12-dependent emphysema. Nature. 422(6928). 169–173. 386 indexed citations
9.
Morris, David G., Robert M. Jasmer, Laurence Huang, et al.. (2003). Sarcoidosis Following HIV Infection. CHEST Journal. 124(3). 929–935. 53 indexed citations
10.
Zuo, Fengrong, Naftali Kaminski, Elsie M. Eugui, et al.. (2002). Gene expression analysis reveals matrilysin as a key regulator of pulmonary fibrosis in mice and humans. Proceedings of the National Academy of Sciences. 99(9). 6292–6297. 487 indexed citations
11.
Kaminski, Naftali, Fengrong Zuo, Zohar Yakhini, et al.. (2002). Use of Oligonucleotide Microarrays to Analyze Gene Expression Patterns in Pulmonary Fibrosis Reveals Distinct Patterns of Gene Expression in Mice and Humans. CHEST Journal. 121(3). 31S–32S. 17 indexed citations
12.
Morris, David G., et al.. (2000). Enhancement of an antenatal diagnosis and counselling service (ADACS) through the ready availability of telemedicine services. Journal of Telemedicine and Telecare. 6(1_suppl). 56–58. 4 indexed citations
13.
Kaminski, Naftali, John Allard, Jean‐François Pittet, et al.. (2000). Global analysis of gene expression in pulmonary fibrosis reveals distinct programs regulating lung inflammation and fibrosis. Proceedings of the National Academy of Sciences. 97(4). 1778–1783. 348 indexed citations
14.
Morris, David G., et al.. (1999). The enhancement of audience participation in telemedicine education by the use of electronic voting. Journal of Telemedicine and Telecare. 5(1_suppl). 12–14. 5 indexed citations
15.
Gilligan, John, et al.. (1999). Mobile intensive care services in rural South Australia. The Medical Journal of Australia. 171(11-12). 617–620. 15 indexed citations
16.
Haslam, Ross, David G. Morris, & Peter Mertin. (1985). Video recording in an acute care perinatology unit. The Medical Journal of Australia. 142(12). 628–629. 1 indexed citations
17.
Kerin, John F., et al.. (1983). Incidence of the luteinized unruptured follicle phenomenon in cycling women. Fertility and Sterility. 40(5). 620–626. 52 indexed citations

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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