David Sterling

685 citations
5 papers · 90 · h-index 3

Impact in

    • Tuberculosis Research and Epidemiology
    • Immune responses and vaccinations
    • Immunodeficiency and Autoimmune Disorders

Papers in

David Sterling

5 papers receiving 88 citations

Peers

David Sterling
Comparison fields: 5 of 30
  • Infectious Diseases 53
  • Immunology 16
  • Epidemiology 21
  • Ophthalmology 3
  • Molecular Biology 23
Replace Martine Robberechts with:
Martine Robberechts Belgium
Andriëtte Hiemstra South Africa
Haotang Ren China
Zebao He China
Ute Guhlich‐Bornhof Germany
Victoria Zaksas United States
André Rebaza United States
Saori Amiya Japan
Jonathan Edgeworth United Kingdom
M. Sabri Hamad Germany
David Sterling relative to Martine Robberechts Belgium Martine Robberechts's profile →
Citations per field
00.5×1.5×
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 201972
2 201312
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, Mathematical Physics, Statistical and Nonlinear Physics, Spectroscopy and Theoretical Computer Science, having authored 5 papers that have together received 90 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), History and Theory of Mathematics (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Mathematical Dynamics and Fractals (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Infectious Diseases (53 citations), Immunology (16 citations), Epidemiology (21 citations), Ophthalmology (3 citations) and Molecular Biology (23 citations). David Sterling has collaborated with scholars based in United States, Gambia and Poland. Frequent co-authors include Kirsten Wall, Michelle Fisher, Urs A. Ochsner, Sara Suliman, Willem A. Hanekom, Jayne S. Sutherland, Adam Penn‐Nicholson, Mark Hatherill, Thomas J. Scriba and Stefan H. E. Kaufmann. Their work appears in journals such as Physica D Nonlinear Phenomena, PLoS Medicine, The Journal of Immunology, Circulation and Alzheimer s & Dementia.

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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