Danforth A. Newton

38 papers receiving 701 citations

Peers

Danforth A. Newton
Comparison fields: 5 of 97
  • Pathology and Forensic Medicine 97
  • Immunology 119
  • Pulmonary and Respiratory Medicine 169
  • Endocrine and Autonomic Systems 36
  • Cell Biology 69
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Countries citing papers authored by Danforth A. Newton

Since Specialization
Citations

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

Fields of papers citing papers by Danforth A. Newton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danforth A. Newton. 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 Danforth A. Newton. The network helps show where Danforth A. Newton may publish in the future.

Co-authors

The 25 scholars most cited alongside Danforth A. Newton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danforth A. Newton Line = papers co-authored together Danforth A. Newton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006132
2 201077
3 200971
4 201943
5 200341
6 201537
7 201430
8 202126
9 202318
10
Cryopreservation of viable human lung tissue for versatile post-thaw analyses and culture.
201518
11 200917
12 200017
13 202316
14 201115
15
Characterization of a sustained-release delivery system for combined cytokine/peptide vaccination using a poly-N-acetyl glucosamine-based polymer matrix.
199715
16 202015
17 200714
18 200114
19 197312
20 202011

About Danforth A. Newton

Danforth A. Newton is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Immunology, having authored 39 papers that have together received 717 indexed citations. Recurring topics across this work include Vitamin D Research Studies (9 papers), Neonatal Respiratory Health Research (7 papers), Immunotherapy and Immune Responses (5 papers), Infant Nutrition and Health (4 papers), Breastfeeding Practices and Influences (4 papers), Mitochondrial Function and Pathology (3 papers), Respiratory Support and Mechanisms (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (97 citations), Immunology (119 citations), Pulmonary and Respiratory Medicine (169 citations), Endocrine and Autonomic Systems (36 citations) and Cell Biology (69 citations). Danforth A. Newton has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include John E. Baatz, Demetri D. Spyropoulos, K. Murali Krishna Rao, Richard A. Dluhy, Sebastiano Gattoni‐Celli, Christina L. Grek, Carol L. Wagner, Bruce W. Hollis, Judy R. Shary and Edwin A. Brown. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Immunotherapy, Pediatric Research, Biochemical Journal and Nutrients.

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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