Jim Jirjis
- Pharmacology top 2%
- Genetics
- Pediatrics, Perinatology and Child Health top 10%
- Molecular Biology
- Statistics and Probability top 5%
- Co-authors
- Jill M. PulleyKevin B. JohnsonErica BowtonJoshua C. DennyGordon R. BernardDaniel R. MasysC. L. Vnencak-JonesJohn McPherson
- Topics
- Electronic Health Records Systems (4 papers)Pharmacogenetics and Drug Metabolism (3 papers)Healthcare Systems and Technology (3 papers)
- Partner nations
- United States
In The Last Decade
Jim Jirjis
12 papers receiving 433 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 235
- Genetics 125
- Pediatrics, Perinatology and Child Health 110
- Molecular Biology 97
- Statistics and Probability 59
Countries citing papers authored by Jim Jirjis
This map shows the geographic impact of Jim Jirjis'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 Jim Jirjis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Jirjis more than expected).
Fields of papers citing papers by Jim Jirjis
This network shows the impact of papers produced by Jim Jirjis. 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 Jim Jirjis. The network helps show where Jim Jirjis may publish in the future.
Co-authorship network of co-authors of Jim Jirjis
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Jirjis. A scholar is included among the top collaborators of Jim Jirjis 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 Jim Jirjis. Jim Jirjis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | 298 | |
| 3 | Extending closed-loop control to the management of chronic disease. | 2 |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | A framework for clinical communication supporting healthcare delivery. | 10 |
| 10 | StarTracker: an integrated, web-based clinical search engine. | 19 |
| 11 | Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications. | 14 |
| 12 | Integrating automated patient letter generation into the electronic medical record. | 1 |
About Jim Jirjis
Jim Jirjis is a scholar working on Medical Terminology, Health Information Management and Pharmacology, having authored 12 papers that have together received 445 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Healthcare Systems and Technology (3 papers). The work is most often cited by research in Pharmacology (235 citations), Health Information Management (46 citations) and Medical Terminology (2 citations). Jim Jirjis has collaborated with scholars based in United States. Frequent co-authors include Jill M. Pulley, Kevin B. Johnson, Erica Bowton, Joshua C. Denny, Gordon R. Bernard, Daniel R. Masys, C. L. Vnencak-Jones, John McPherson, D M Roden and Dana C. Crawford. Their work appears in journals such as Medical Care, Clinical Pharmacology & Therapeutics and Genetics in Medicine.
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.