Danforth A. Newton

922 citations
38 papers · 675 indexed · h-index 15

Danforth A. Newton

38 papers receiving 665 citations

Peers

Danforth A. Newton
Comparison fields: 5 of 97
  • Immunology 134
  • Endocrine and Autonomic Systems 36
  • Pulmonary and Respiratory Medicine 173
  • Pathology and Forensic Medicine 95
  • Cell Biology 71
Replace Keisuke Tanaka with:
Keisuke Tanaka Japan
Chiara Sartori Italy
Sameena S. Khan United States
A Schneider Germany
Banu Bozkurt Türkiye
Chuanyi M. Lu United States
Masaru Ohashi Japan
Larry D. Crouch United States
Suneil Malik Canada
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Danforth A. Newton relative to Keisuke Tanaka Japan Keisuke Tanaka's profile →
Citations per field
00.5×4.2×
Keisuke Tanaka · 1×
Citations per year

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-authorship network

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
#Work
1 20242
2 20231
3 20226
4 202121
5 20211
6 202014
7 20194
8 201943
9 201710
10 20171
11 20175
12 201114
13 200968
14 200916
15 2006127
16 20025
17 200114
18 200017
19 20006
20 200010

About Danforth A. Newton

Danforth A. Newton is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics and Virology, having authored 38 papers that have together received 675 indexed citations. Recurring topics across this work include Vitamin D Research Studies (9 papers), Neonatal Respiratory Health Research (7 papers), Breastfeeding Practices and Influences (5 papers), Immunotherapy and Immune Responses (5 papers), Infant Nutrition and Health (4 papers), Mitochondrial Function and Pathology (3 papers), Immune Cell Function and Interaction (3 papers) and Vitamin C and Antioxidants Research (3 papers). The work is most often cited by research in Immunology (134 citations), Endocrine and Autonomic Systems (36 citations) and Pulmonary and Respiratory Medicine (173 citations). Danforth A. Newton has collaborated with scholars based in United States, United Kingdom and Australia. 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, Pediatric Research, Journal of Immunotherapy, Biochemical Journal and The FASEB Journal.

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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