David Sterling

666 citations
5 papers · 85 · h-index 3

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

David Sterling

5 papers receiving 84 citations

Peers

David Sterling
Comparison fields: 5 of 37
  • Infectious Diseases 53
  • Epidemiology 30
  • Immunology 16
  • Surgery 19
  • Neurology 3
Replace Martine Robberechts with:
Martine Robberechts Belgium
Haotang Ren China
Shouguo Pan China
S. Greffe France
Beata Zamlynny United States
Lauren Walker United States
Yu Kusaka Japan
María Lasa‐Lázaro Spain
Silvia Rojo‐Rello Spain
M. Villar Portugal
David Sterling relative to Martine Robberechts Belgium Martine Robberechts's profile →
Citations per field
00.5×
Martine Robberechts · 1×
Citations per year

Countries citing papers authored by David Sterling

Since Specialization
Citations

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

Fields of papers citing papers by David Sterling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201968
2 201311
3 20004
4
Abstract 17082: Translation From Highly Multiplexed Biomarker Discovery to a Targeted Protein Panel to Stratify Cardiovascular Risk in Patients With Coronary Heart Disease
20161
5 20141

About David Sterling

David Sterling is a scholar working on Infectious Diseases, Molecular Biology, Mathematical Physics, Statistical and Nonlinear Physics and Spectroscopy, having authored 5 papers that have together received 85 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), History and Theory of Mathematics (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Quantum chaos and dynamical systems (1 paper), Advanced Proteomics Techniques and Applications (1 paper), vaccines and immunoinformatics approaches (1 paper) and Mathematical Dynamics and Fractals (1 paper). The work is most often cited by research in Infectious Diseases (53 citations), Epidemiology (30 citations), Immunology (16 citations), Surgery (19 citations) and Neurology (3 citations). David Sterling has collaborated with scholars based in United States, South Africa and Gambia. Frequent co-authors include Nebojša Janjić, Urs A. Ochsner, Kirsten Wall, Michelle Fisher, Steven G. Smith, Daniel E. Zak, Mary Ann De Groote, Sara Suliman, Thomas Hraha and Mark Hatherill. Their work appears in journals such as Alzheimer s & Dementia, The Journal of Immunology, Physica D Nonlinear Phenomena, PLoS Medicine and Circulation.

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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