Stephen A. Ramsey

5.5k total citations
92 papers, 3.9k citations indexed

About

Stephen A. Ramsey is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Stephen A. Ramsey has authored 92 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 12 papers in Immunology and 12 papers in Biomedical Engineering. Recurrent topics in Stephen A. Ramsey's work include Bioinformatics and Genomic Networks (22 papers), Gene Regulatory Network Analysis (17 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Stephen A. Ramsey is often cited by papers focused on Bioinformatics and Genomic Networks (22 papers), Gene Regulatory Network Analysis (17 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Stephen A. Ramsey collaborates with scholars based in United States, Canada and Argentina. Stephen A. Ramsey's co-authors include Hamid Bolouri, Alan Aderem, Elain Fu, Paul Yager, David Orrell, B. L. Hu, Barry R. Lutz, Ilya Shmulevich, Alistair G. Rust and Edward A. Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Stephen A. Ramsey

88 papers receiving 3.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen A. Ramsey United States 30 2.3k 928 605 397 312 92 3.9k
Harold R. Garner United States 35 3.1k 1.4× 464 0.5× 354 0.6× 370 0.9× 255 0.8× 193 5.5k
David G. Brown United States 33 2.1k 0.9× 359 0.4× 944 1.6× 236 0.6× 299 1.0× 130 5.0k
Eric W. Deutsch United States 51 7.8k 3.4× 430 0.5× 385 0.6× 438 1.1× 300 1.0× 174 10.7k
Steven J. Altschuler United States 32 4.3k 1.9× 338 0.4× 769 1.3× 401 1.0× 99 0.3× 73 6.5k
Manfred Claassen Germany 23 2.0k 0.9× 304 0.3× 232 0.4× 158 0.4× 159 0.5× 98 3.6k
Ichiro Yamato Japan 37 2.8k 1.2× 822 0.9× 236 0.4× 299 0.8× 215 0.7× 167 5.0k
Richard K. Harrison United States 26 1.4k 0.6× 397 0.4× 309 0.5× 324 0.8× 98 0.3× 67 2.7k
David Fenyö United States 50 5.7k 2.5× 750 0.8× 274 0.5× 687 1.7× 692 2.2× 192 9.8k
Zhe Chen United States 42 3.6k 1.6× 736 0.8× 219 0.4× 230 0.6× 354 1.1× 123 6.0k
John Jeffers United Kingdom 29 2.4k 1.1× 481 0.5× 192 0.3× 389 1.0× 389 1.2× 114 5.0k

Countries citing papers authored by Stephen A. Ramsey

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Ramsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen A. Ramsey

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Ramsey. A scholar is included among the top collaborators of Stephen A. Ramsey 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 Stephen A. Ramsey. Stephen A. Ramsey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Deutsch, Eric W., et al.. (2025). PloverDB: a high-performance platform for serving biomedical knowledge graphs as standards-compliant web APIs. Bioinformatics. 41(7). 1 indexed citations
2.
Séguin, Bernard, et al.. (2024). Comparative Transcriptomes of Canine and Human Prostate Cancers Identify Mediators of Castration Resistance. Veterinary and Comparative Oncology. 22(4). 629–640. 1 indexed citations
3.
Ramsey, Stephen A., et al.. (2024). Genome-scale metabolic model accurately predicts fermentation of glucose by Chromochloris zofingiensis. Algal Research. 84. 103805–103805. 2 indexed citations
4.
5.
Ma, Chunyu, Luis Mendoza, Shaopeng Liu, et al.. (2023). ARAX: a graph-based modular reasoning tool for translational biomedicine. Bioinformatics. 39(3). 3 indexed citations
6.
Ma, Chunyu, Yodsawalai Chodpathumwan, Jared C. Roach, et al.. (2022). RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. BMC Bioinformatics. 23(1). 400–400. 16 indexed citations
7.
Crowder, Camerron M., Andrew B. Crouse, William E. Byrd, et al.. (2022). The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren. Frontiers in Artificial Intelligence. 5. 910216–910216. 20 indexed citations
8.
Ramsey, Stephen A., et al.. (2021). Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning.. 1 indexed citations
9.
Fecho, Karamarie, Perry Haaland, Ashok Krishnamurthy, et al.. (2021). An approach for open multivariate analysis of integrated clinical and environmental exposures data. Informatics in Medicine Unlocked. 26. 100733–100733. 4 indexed citations
10.
Bracha, Shay, et al.. (2020). Prospective evaluation of the lymph node proteome in dogs with multicentric lymphoma supplemented with sulforaphane. Journal of Veterinary Internal Medicine. 34(5). 2036–2047. 3 indexed citations
11.
12.
Ramsey, Stephen A., Zheng Liu, Yao Yao, & Benjamin R. Weeder. (2019). Combining eQTL and SNP Annotation Data to Identify Functional Noncoding SNPs in GWAS Trait-Associated Regions. Methods in molecular biology. 2082. 73–86. 2 indexed citations
13.
Troyer, Ryan M., Stephen A. Ramsey, Liping Yang, et al.. (2018). A Preliminary Proteomic Investigation of Circulating Exosomes and Discovery of Biomarkers Associated with the Progression of Osteosarcoma in a Clinical Model of Spontaneous Disease. Translational Oncology. 11(5). 1137–1146. 41 indexed citations
14.
Rahman, Karishma, Yuliya Vengrenyuk, Stephen A. Ramsey, et al.. (2017). Inflammatory Ly6Chi monocytes and their conversion to M2 macrophages drive atherosclerosis regression. Journal of Clinical Investigation. 127(8). 2904–2915. 256 indexed citations
15.
Helterline, Deri, et al.. (2013). Urokinase Plasminogen Activator Induces Pro-Fibrotic/M2 Phenotype in Murine Cardiac Macrophages. PLoS ONE. 8(3). e57837–e57837. 31 indexed citations
16.
Ratushny, Alexander V., et al.. (2008). Control of Transcriptional Variability by Overlapping Feed-Forward Regulatory Motifs. Biophysical Journal. 95(8). 3715–3723. 24 indexed citations
17.
Fu, Elain, Stephen A. Ramsey, Jingyi Chen, et al.. (2006). Resonance wavelength-dependent signal of absorptive particles in surface plasmon resonance-based detection. Sensors and Actuators B Chemical. 123(1). 606–613. 10 indexed citations
18.
Ramsey, Stephen A., Jennifer J. Smith, David Orrell, et al.. (2006). Dual feedback loops in the GAL regulon suppress cellular heterogeneity in yeast. Nature Genetics. 38(9). 1082–1087. 72 indexed citations
19.
Hwang, Daehee, Alistair G. Rust, Stephen A. Ramsey, et al.. (2005). A data integration methodology for systems biology. Proceedings of the National Academy of Sciences. 102(48). 17296–17301. 254 indexed citations
20.
Hwang, Daehee, Jennifer J. Smith, Deena M. Leslie Pedrioli, et al.. (2005). A data integration methodology for systems biology: Experimental verification. Proceedings of the National Academy of Sciences. 102(48). 17302–17307. 92 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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