Stephen M. Waugh

1.0k citations
8 papers · 909 · h-index 7

Impact in

  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

Stephen M. Waugh

7 papers receiving 851 citations

Peers

Stephen M. Waugh
Comparison fields: 5 of 71
  • Physiology 548
  • Genetics 186
  • Hematology 159
  • Cell Biology 205
  • Pediatrics, Perinatology and Child Health 170
Replace Raymonde Rosa with:
Raymonde Rosa France
Emanuela Ferru Italy
SL Schrier United States
Nicole Arous France
Shobhana Vora United States
Jonathan D. Groves United Kingdom
Claude Préhu France
Joseph R. Shaeffer United States
Dina A. Andrews United States
Prince George United States
Stephen M. Waugh relative to Raymonde Rosa France Raymonde Rosa's profile →
Citations per field
00.5×1.7×
Raymonde Rosa · 1×
Citations per year

Countries citing papers authored by Stephen M. Waugh

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Waugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Waugh. 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 Stephen M. Waugh. The network helps show where Stephen M. Waugh may publish in the future.

Co-authors

The 9 scholars most cited alongside Stephen M. Waugh, 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 Stephen M. Waugh Line = papers co-authored together Stephen M. Waugh links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Stephen M. Waugh

Stephen M. Waugh is a scholar working on Cell Biology, Physiology, Pediatrics, Perinatology and Child Health, Safety, Risk, Reliability and Quality and Management Information Systems, having authored 8 papers that have together received 909 indexed citations. Recurring topics across this work include Hemoglobin structure and function (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Neonatal Health and Biochemistry (2 papers), Digital Transformation in Industry (1 paper), Big Data and Business Intelligence (1 paper), Lipid Membrane Structure and Behavior (1 paper), Heme Oxygenase-1 and Carbon Monoxide (1 paper) and Protein Interaction Studies and Fluorescence Analysis (1 paper). The work is most often cited by research in Physiology (548 citations), Genetics (186 citations), Hematology (159 citations), Cell Biology (205 citations) and Pediatrics, Perinatology and Child Health (170 citations). Stephen M. Waugh has collaborated with scholars based in United States and Germany. Frequent co-authors include Philip S. Low, Detlev Drenckhahn, Paul F. Pilch, Marianne Böni‐Schnetzler, Joseph A. Walder, William G. Scott, Barry M. Willardson, Richard Labotka and Rama Kannan. Their work appears in journals such as Biochemistry, Science, Journal of Biological Chemistry, Journal of Clinical Investigation and Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School).

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.

Explore authors with similar magnitude of impact