John W. Newman

17.7k citations
260 papers · 12.6k indexed · h-index 57

Impact in

Papers in

John W. Newman

258 papers receiving 12.3k citations

Peers

John W. Newman
Comparison fields: 5 of 178
  • Biochemistry 4.4k
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Agronomy and Crop Science 1.2k
  • Nutrition and Dietetics 1.7k
  • Pathology and Forensic Medicine 1.8k
Replace Mats Hámberg with:
Mats Hámberg Sweden
Sander Kersten Netherlands
Béatrice Desvergne Switzerland
Ronald P. Mensink Netherlands
Mark T. Quinn United States
Daniel Hwang United States
Donald Β. Jump United States
Kristina Schoonjans Switzerland
Jerzy Adamski Germany
Philip Newsholme Australia
John W. Newman relative to Mats Hámberg Sweden Mats Hámberg's profile →
Citations per field
00.5×4.6×
Mats Hámberg · 1×
Citations per year

Countries citing papers authored by John W. Newman

Since Specialization
Citations

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

Fields of papers citing papers by John W. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Newman. 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 John W. Newman. The network helps show where John W. Newman may publish in the future.

Co-authors

The 25 scholars most cited alongside John W. Newman, 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 John W. Newman Line = papers co-authored together John W. Newman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 20244
4 20234
5 20235
6 20237
7 202330
8 202316
9 20226
10 202114
11 20218
12 20212
13 201747
14 201315
15 201130
16
Laser Shearography of Wind Turbine Blades
20103
17 2009125
18 200737
19
Prostaglandin production and timing of parturition in sheep fed a diet high in n-6 polyunsaturated fatty acids
20034
20
Optical Leak Testing of hermetic packages
20012

About John W. Newman

John W. Newman is a scholar working on Biochemistry, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Physiology and Agronomy and Crop Science, having authored 260 papers that have together received 12.6k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (70 papers), Fatty Acid Research and Health (49 papers), Alcohol Consumption and Health Effects (31 papers), Diet and metabolism studies (29 papers), Adipose Tissue and Metabolism (28 papers), Metabolomics and Mass Spectrometry Studies (24 papers), Animal Disease Management and Epidemiology (18 papers) and Diet, Metabolism, and Disease (18 papers). The work is most often cited by research in Biochemistry (4.4k citations), Endocrinology, Diabetes and Metabolism (2.5k citations), Agronomy and Crop Science (1.2k citations), Nutrition and Dietetics (1.7k citations) and Pathology and Forensic Medicine (1.8k citations). John W. Newman has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Bruce D. Hammock, Christophe Morisseau, Theresa L. Pedersen, Sean H. Adams, Andrew M. Q. King, Gregory C. Shearer, W. Timothy Garvey, Wendy Blakemore, Charles L. Hoppel and David I. Stuart. Their work appears in journals such as Journal of Lipid Research, Journal of Virology, PLoS ONE, Journal of Nutrition and Environmental Toxicology and Chemistry.

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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