David G. Sterling

832 total citations
8 papers, 560 citations indexed

About

David G. Sterling is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, David G. Sterling has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in David G. Sterling's work include Tuberculosis Research and Epidemiology (5 papers), vaccines and immunoinformatics approaches (2 papers) and Galectins and Cancer Biology (2 papers). David G. Sterling is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), vaccines and immunoinformatics approaches (2 papers) and Galectins and Cancer Biology (2 papers). David G. Sterling collaborates with scholars based in United States, Uganda and Switzerland. David G. Sterling's co-authors include Shintaro Kato, Stephen A. Williams, Kristian Hveem, Peter Ganz, Bettina Heidecker, Nebojša Janjić, Urs A. Ochsner, Mary Ann De Groote, Mark R. Segal and Christian Jonasson and has published in prestigious journals such as JAMA, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

David G. Sterling

8 papers receiving 546 citations

Peers

David G. Sterling

MB

ID

EPIDE

SURGE

CCM

Panwen Tian China

Ralf‐Harto Hübner Germany

Kleber Yotsumoto Fertrin Brazil

Sebastian Hörber Germany

Monia Maccaferri Italy

Lesley Baerts Belgium

Jeffrey Mueller United States

Masato Nakai Japan

Paola Suatoni Italy

Panwen Tian China

David G. Sterling

265 ×1.0

MB

79 ×0.5

ID

110 ×0.9

EPIDE

130 ×1.3

SURGE

75 ×1.1

CCM

Citations per year, relative to David G. Sterling David G. Sterling (= 1×) peers Panwen Tian

Countries citing papers authored by David G. Sterling

Since Specialization

Citations

This map shows the geographic impact of David G. 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 G. 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 G. Sterling more than expected).

Fields of papers citing papers by David G. Sterling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Sterling

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Sterling. A scholar is included among the top collaborators of David G. Sterling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David G. Sterling. David G. Sterling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Groote, Mary Ann De, David G. Sterling, Thomas Hraha, et al.. (2017). Discovery and Validation of a Six-Marker Serum Protein Signature for the Diagnosis of Active Pulmonary Tuberculosis. Journal of Clinical Microbiology. 55(10). 3057–3071. 65 indexed citations

2.

Green, Louis S., Taylor Rice, Nicole A. Kruh‐Garcia, et al.. (2017). Potential of High-Affinity, Slow Off-Rate Modified Aptamer Reagents for Mycobacterium tuberculosis Proteins as Tools for Infection Models and Diagnostic Applications. Journal of Clinical Microbiology. 55(10). 3072–3088. 27 indexed citations

3.

Ganz, Peter, Bettina Heidecker, Kristian Hveem, et al.. (2016). Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients With Stable Coronary Heart Disease. JAMA. 315(23). 2532–2532. 197 indexed citations

4.

Groote, Mary Ann De, Michael Higgins, Thomas Hraha, et al.. (2016). Highly Multiplexed Proteomic Analysis of Quantiferon Supernatants To Identify Biomarkers of Latent Tuberculosis Infection. Journal of Clinical Microbiology. 55(2). 391–402. 33 indexed citations

5.

Beatty, Alexis L., Bettina Heidecker, Mathilda Regan, et al.. (2015). Association of growth differentiation factor 11/8, putative anti-ageing factor, with cardiovascular outcomes and overall mortality in humans: analysis of the Heart and Soul and HUNT3 cohorts. European Heart Journal. 36(48). 3426–3434. 94 indexed citations

6.

Nahid, Payam, Erin Bliven-Sizemore, Leah G. Jarlsberg, et al.. (2014). Aptamer-based proteomic signature of intensive phase treatment response in pulmonary tuberculosis. Tuberculosis. 94(3). 187–196. 50 indexed citations

7.

Groote, Mary Ann De, Payam Nahid, Leah G. Jarlsberg, et al.. (2013). Elucidating Novel Serum Biomarkers Associated with Pulmonary Tuberculosis Treatment. PLoS ONE. 8(4). e61002–e61002. 89 indexed citations

8.

Sterling, David G.. (2001). Chaotic synchronization of coupled ergodic maps. Chaos An Interdisciplinary Journal of Nonlinear Science. 11(1). 29–46. 5 indexed citations

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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