Davera Gabriel

2.2k total citations
10 papers, 138 citations indexed

About

Davera Gabriel is a scholar working on Molecular Biology, General Health Professions and Information Systems and Management. According to data from OpenAlex, Davera Gabriel has authored 10 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in General Health Professions and 3 papers in Information Systems and Management. Recurrent topics in Davera Gabriel's work include Ethics in Clinical Research (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Scientific Computing and Data Management (3 papers). Davera Gabriel is often cited by papers focused on Ethics in Clinical Research (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Scientific Computing and Data Management (3 papers). Davera Gabriel collaborates with scholars based in United States and United Kingdom. Davera Gabriel's co-authors include Nicholas Anderson, Estella M. Geraghty, Ida Sim, Kent Anderson, Peter Tarczy‐Hornoch, Julie Rainwater, Simona Carini, Suzanne Bakken, Harold P. Lehmann and Brad H. Pollock and has published in prestigious journals such as Academic Medicine, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Davera Gabriel

10 papers receiving 131 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davera Gabriel United States 6 51 48 33 32 28 10 138
Sebastian C. Semler Germany 7 38 0.7× 35 0.7× 39 1.2× 45 1.4× 20 0.7× 25 212
Sebastian Stäubert Germany 8 42 0.8× 32 0.7× 42 1.3× 14 0.4× 37 1.3× 30 158
Alexander Bartschke Germany 3 35 0.7× 40 0.8× 47 1.4× 21 0.7× 19 0.7× 6 159
Paolo Besana United Kingdom 6 51 1.0× 64 1.3× 32 1.0× 12 0.4× 10 0.4× 16 132
Joyce Backus United States 8 52 1.0× 37 0.8× 26 0.8× 90 2.8× 12 0.4× 15 250
Casimir A. Kulikowski United States 7 75 1.5× 30 0.6× 102 3.1× 61 1.9× 14 0.5× 16 236
John A. Orechia United States 2 34 0.7× 36 0.8× 39 1.2× 8 0.3× 23 0.8× 2 96
Nigel Hughes United Kingdom 7 24 0.5× 29 0.6× 32 1.0× 22 0.7× 9 0.3× 14 187
Deevakar Rogith United States 8 26 0.5× 41 0.9× 33 1.0× 45 1.4× 7 0.3× 21 218
Thomas Bahls Germany 9 13 0.3× 27 0.6× 33 1.0× 56 1.8× 17 0.6× 22 177

Countries citing papers authored by Davera Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Davera Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davera Gabriel

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

All Works

10 of 10 papers shown
1.
Zong, Nansu, Andrew Wen, Sijia Liu, et al.. (2022). Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration. Journal of Biomedical Informatics. 127. 104002–104002. 17 indexed citations
2.
Strelnick, A. Hal, Karen Hacker, S. Faisal Ahmed, et al.. (2020). Towards a Unified Taxonomy of Health Indicators: Academic Health Centers and Communities Working Together to Improve Population Health. UNC Libraries. 1 indexed citations
3.
Tcheng, James E., et al.. (2019). Achieving Data Liquidity: Lessons Learned from Analysis of 38 Clinical Registries (The Duke-Pew Data Interoperability Project.. PubMed. 2019. 864–873. 3 indexed citations
4.
Eisenstein, Eric L., Kristi Prather, Stephen J. Greene, et al.. (2019). Death: The Simple Clinical Trial Endpoint.. PubMed. 257. 86–91. 3 indexed citations
5.
Aguilar‐Gaxiola, Sergio, Syed Masud Ahmed, Zeno Franco, et al.. (2014). Towards a Unified Taxonomy of Health Indicators. Academic Medicine. 89(4). 564–572. 23 indexed citations
6.
Anderson, Nicholas, Estella M. Geraghty, Davera Gabriel, et al.. (2011). Implementation of a deidentified federated data network for population-based cohort discovery. Journal of the American Medical Informatics Association. 19(e1). e60–e67. 37 indexed citations
7.
Obeid, Jihad S., Davera Gabriel, & Iain Sanderson. (2010). A biomedical research permissions ontology. PubMed. 2010. 9–13. 4 indexed citations
8.
Sim, Ida, Simona Carini, Samson W. Tu, et al.. (2010). The human studies database project: federating human studies design data using the ontology of clinical research.. PubMed. 2010. 51–5. 28 indexed citations
9.
Weiner, Mark G., Ida Sim, Davera Gabriel, et al.. (2010). Ontology mapping and data discovery for the translational investigator.. PubMed. 2010. 66–70. 10 indexed citations
10.
Carini, Simona, Brad H. Pollock, Harold P. Lehmann, et al.. (2009). Development and evaluation of a study design typology for human research.. PubMed. 2009. 81–5. 12 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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