Ward Coats

991 citations
6 papers · 879 indexed · 1 hit paper · h-index 6

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Diabetes and associated disorders
    • RNA Interference and Gene Delivery
    • Metabolism, Diabetes, and Cancer
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

Ward Coats

6 papers receiving 868 citations

Hit Papers

Chapter 8 Use of Recombinant Adenovirus for Metabolic Engineering of Mammalian Cells 1994 · 528 citations
5281994202620042015100200300400500

Peers

Ward Coats
Comparison fields: 5 of 76
  • Genetics 294
  • Molecular Biology 540
  • Surgery 280
  • Cell Biology 91
  • Oncology 145
Replace Paul Naik with:
Paul Naik United States
Mathew J. Putzi United States
Stacy Taylor United States
Kenzo Kaneko Japan
Tae Jung Jang South Korea
A.‐C. Andres Switzerland
Paul C. Park Canada
Rafael B. Blasco Spain
Joanne H. Heaton United States
Li-Jyun Syu United States
Ward Coats relative to Paul Naik United States Paul Naik's profile →
Citations per field
00.5×1.5×1.8×
Paul Naik · 1×
Citations per year

Countries citing papers authored by Ward Coats

Since Specialization
Citations

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

Fields of papers citing papers by Ward Coats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ward Coats. 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 Ward Coats. The network helps show where Ward Coats may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Ward Coats, 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 Ward Coats Line = papers co-authored together Ward Coats links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201078
2
Chapter 8 Use of Recombinant Adenovirus for Metabolic Engineering of Mammalian Cells
Hit paper breakdown →
1994528
3 1992223
4 199113
5 199110
6 199127

About Ward Coats

Ward Coats is a scholar working on Clinical Biochemistry, Rheumatology, Surgery, Molecular Biology and Genetics, having authored 6 papers that have together received 879 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), RNA Interference and Gene Delivery (2 papers), Glycogen Storage Diseases and Myoclonus (2 papers), Virus-based gene therapy research (2 papers), Biochemical and Molecular Research (2 papers), FOXO transcription factor regulation (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Genetics (294 citations), Molecular Biology (540 citations), Surgery (280 citations), Cell Biology (91 citations) and Oncology (145 citations). Ward Coats has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christopher B. Newgard, Tausif Alam, Robert D. Gerard, Anna M. Gómèz‐Foix, Richard J. Noel, Thomas Becker, Susanna Baqué, Galvin H. Swift, Qiaoming Long and Mark A. Magnuson. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Gastroenterology, Methods in cell biology and Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression.

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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