John C. Werner

36 papers receiving 2.1k citations

John C. Werner's Hit Papers

Diet and the evolution of human amylase gene copy number variation 2007 · 965 citations
9650+6+12Years since publication250500750

Peers

John C. Werner
Comparison fields: 5 of 158
  • Genetics 905
  • Endocrinology 121
  • Structural Biology 32
  • Molecular Medicine 81
  • Molecular Biology 887
Replace Peter Fitzgerald with:
Peter Fitzgerald United States
Patricia S. Connelly United States
Norbert Bannert Germany
Dmitry A. Shagin Russia
A. M. Lawn United Kingdom
Karin de Punder Germany
Yasuhiro Yoshikawa Japan
Pengfei Wang China
Kiyoshi Imaizumi Japan
Ken Dewar Canada
John C. Werner relative to Peter Fitzgerald United States Peter Fitzgerald's profile →
Citations per field
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Countries citing papers authored by John C. Werner

Since Specialization
Citations

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

Fields of papers citing papers by John C. Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diet and the evolution of human amylase gene copy number variation
Hit paper breakdown →
2007965
2 2006255
3 2005145
4 1992110
5 200897
6 198762
7 199949
8 200347
9 198543
10 199840
11 198137
12 198935
13 198334
14 199232
15 198225
16 198424
17 198323
18 198519
19 198119
20 198313

About John C. Werner

John C. Werner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Genetics, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Congenital Heart Disease Studies (6 papers), Metabolism and Genetic Disorders (6 papers), Neonatal and fetal brain pathology (4 papers), Mechanical Circulatory Support Devices (4 papers), Birth, Development, and Health (4 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Connective tissue disorders research (3 papers). The work is most often cited by research in Genetics (905 citations), Endocrinology (121 citations), Structural Biology (32 citations), Molecular Medicine (81 citations) and Molecular Biology (887 citations). John C. Werner has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Rajeev Misra, Raymond E. Sicard, Richard Redon, Katrina G. Claw, George H. Perry, Fernando A. Villanea, Anne C. Stone, Nathaniel J. Dominy, Nigel P. Carter and Charles Lee. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Pediatric Research, Molecular Microbiology, The Journal of Pediatrics and Neonatology.

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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