J M Davis

919 total citations
32 papers, 621 citations indexed

About

J M Davis is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, J M Davis has authored 32 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 8 papers in Endocrine and Autonomic Systems and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in J M Davis's work include Neonatal Respiratory Health Research (15 papers), Respiratory Support and Mechanisms (10 papers) and Neuroscience of respiration and sleep (8 papers). J M Davis is often cited by papers focused on Neonatal Respiratory Health Research (15 papers), Respiratory Support and Mechanisms (10 papers) and Neuroscience of respiration and sleep (8 papers). J M Davis collaborates with scholars based in United States, United Kingdom and Finland. J M Davis's co-authors include Robert H. Notter, Donald L. Shapiro, Vinod K. Bhutani, Amnon Gonenne, Kathleen A. Veness‐Meehan, James W. Kendig, Warren Rosenfeld, Raymond J Sanders, James M. Sikela and J V Aranda and has published in prestigious journals such as New England Journal of Medicine, Journal of Applied Physiology and The Plant Journal.

In The Last Decade

J M Davis

30 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J M Davis United States 15 391 203 116 94 75 32 621
A. M. Davies United Kingdom 9 138 0.4× 146 0.7× 125 1.1× 104 1.1× 87 1.2× 9 448
Andreas Trotter Germany 15 250 0.6× 77 0.4× 91 0.8× 67 0.7× 171 2.3× 26 573
Takushi Hanita Japan 14 292 0.7× 96 0.5× 137 1.2× 26 0.3× 236 3.1× 34 500
Sara E. Hartmann Canada 10 159 0.4× 182 0.9× 99 0.9× 43 0.5× 9 0.1× 28 692
Matthew Foerster United States 5 98 0.3× 212 1.0× 18 0.2× 37 0.4× 66 0.9× 9 359
E.R. Poore United States 12 202 0.5× 146 0.7× 71 0.6× 46 0.5× 222 3.0× 19 607
Hisaya Hasegawa Japan 10 223 0.6× 183 0.9× 111 1.0× 47 0.5× 80 1.1× 34 375
M. Elena Martinez United States 14 90 0.2× 65 0.3× 198 1.7× 105 1.1× 78 1.0× 35 738
Frederic J. Agate United States 13 147 0.4× 66 0.3× 57 0.5× 55 0.6× 103 1.4× 18 507
J. Humme United States 14 188 0.5× 124 0.6× 59 0.5× 34 0.4× 201 2.7× 20 425

Countries citing papers authored by J M Davis

Since Specialization
Citations

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

Fields of papers citing papers by J M Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J M Davis

This figure shows the co-authorship network connecting the top 25 collaborators of J M Davis. A scholar is included among the top collaborators of J M Davis 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 J M Davis. J M Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Davis, J M, Talukder Z. Jubery, Yufeng Ge, et al.. (2025). Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials. Plants People Planet. 7(4). 1011–1026. 3 indexed citations
2.
Davis, J M, et al.. (2025). 3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy. Plant Phenomics. 7(1). 100023–100023.
3.
Davis, J M, Talukder Z. Jubery, Yufeng Ge, et al.. (2024). Plot-level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials.. 2 indexed citations
4.
Li, Delin, Linsey Newton, J M Davis, et al.. (2024). Population‐level gene expression can repeatedly link genes to functions in maize. The Plant Journal. 119(2). 844–860. 5 indexed citations
5.
6.
Davis, J M, et al.. (2015). Replicated linear association between DUF1220 copy number and severity of social impairment in autism. Human Genetics. 134(6). 569–575. 16 indexed citations
7.
Keeney, Jonathon, Majesta O’Bleness, Nathan Anderson, et al.. (2014). Generation of Mice Lacking DUF1220 Protein Domains: Effects on Fecundity and Hyperactivity. Mammalian Genome. 26(1-2). 33–42. 2 indexed citations
8.
Corsi, Karen F., Sergey Dvoryak, Christine E. Garver‐Apgar, et al.. (2014). Gender differences between predictors of HIV status among PWID in Ukraine. Drug and Alcohol Dependence. 138. 103–108. 25 indexed citations
9.
Keeney, Jonathon, J M Davis, Julie A. Siegenthaler, et al.. (2014). DUF1220 protein domains drive proliferation in human neural stem cells and are associated with increased cortical volume in anthropoid primates. Brain Structure and Function. 220(5). 3053–3060. 45 indexed citations
10.
Parad, Richard B., et al.. (2009). Economic evaluation of recombinant human copper zinc superoxide dismutase administered at birth to premature infants. Journal of Perinatology. 29(5). 364–371. 10 indexed citations
11.
Davis, J M, et al.. (2003). Effects of recombinant human superoxide dismutase during reoxygenation with 21% or 100% oxygen after cerebral asphyxia in newborn piglets. The Journal of Maternal-Fetal & Neonatal Medicine. 14(2). 96–101. 3 indexed citations
12.
Koo, Hshi-chi, et al.. (2002). Effects of Granulocyte Colony-Stimulating Factor on Hyperoxia-Induced Lung Injury in Newborn Piglets. Lung. 180(4). 229–239. 8 indexed citations
13.
Davis, J M & Richard Pither. (2001). Biochemical responses in cultured cells following exposure to 89SrCl2: potential relevance to the mechanism of action in pain palliation. European Journal of Cancer. 37(18). 2464–2469. 7 indexed citations
15.
Davis, J M, et al.. (1995). Combined effects of nitric oxide and hyperoxia on surfactant function and pulmonary inflammation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 269(4). L545–L550. 58 indexed citations
16.
Davis, J M, et al.. (1989). Lung injury in the neonatal piglet caused by hyperoxia and mechanical ventilation. Journal of Applied Physiology. 67(3). 1007–1012. 34 indexed citations
17.
Davis, J M, Kathleen A. Veness‐Meehan, Robert H. Notter, et al.. (1988). Changes in Pulmonary Mechanics after the Administration of Surfactant to Infants with Respiratory Distress Syndrome. New England Journal of Medicine. 319(8). 476–479. 110 indexed citations
18.
Davis, J M, A R Spitzer, John L Stefano, & William W. Fox. (1985). 361 THE USE OF CAFFEINE (C) IN INFANTS UNRESPONSIVE TO THEOPHYLLINE (T) IN APNEA OF PREMATURITY. Pediatric Research. 19(4). 171A–171A. 2 indexed citations
19.
Collings, P, et al.. (1984). Alpha 1 antitrypsin and lung function in British coalminers.. Occupational and Environmental Medicine. 41(4). 455–458. 4 indexed citations
20.
Frantz, Ivan D., Ann R. Stark, J M Davis, Paul Davies, & Tamar J. Kitzmiller. (1982). High-frequency ventilation does not affect pulmonary surfactant, liquid, or morphologic features in normal cats.. PubMed. 126(5). 909–13. 30 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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