Jonathan C. Prather

742 citations
17 papers · 549 · h-index 10

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 8
    • Organ Transplantation Techniques and Outcomes 5
    • Healthcare Technology and Patient Monitoring 1

Jonathan C. Prather

16 papers receiving 509 citations

Peers

Jonathan C. Prather
Comparison fields: 5 of 76
  • Transplantation 207
  • Health Information Management 65
  • Nephrology 29
  • Issues, ethics and legal aspects 3
  • Artificial Intelligence 84
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan C. Prather

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Prather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Prather. 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 Jonathan C. Prather. The network helps show where Jonathan C. Prather may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan C. Prather, 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 Jonathan C. Prather Line = papers co-authored together Jonathan C. Prather links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Medical data mining: knowledge discovery in a clinical data warehouse.
1997169
2 2006102
3 200572
4 200453
5 200737
6 200526
7 200826
8 200818
9 20059
10
Data mining issues for improved birth outcomes.
19979
11
Protecting patient privacy in clinical data mining.
20028
12
Converting a legacy system database into relational format to enhance query efficiency.
19957
13 20015
14
Renal transplantation at Oregon Health and Science University: recent results and protocols.
20034
15 19972
16
Exploratory Data Analysis to Detect Preterm Risk Factors.
19971
17 20081

About Jonathan C. Prather

Jonathan C. Prather is a scholar working on Transplantation, Surgery, Public Health, Environmental and Occupational Health, Management Science and Operations Research and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 549 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Organ Transplantation Techniques and Outcomes (5 papers), Organ Donation and Transplantation (4 papers), Data Quality and Management (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Neurological Complications and Syndromes (1 paper), Respiratory Support and Mechanisms (1 paper) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Transplantation (207 citations), Health Information Management (65 citations), Nephrology (29 citations), Issues, ethics and legal aspects (3 citations) and Artificial Intelligence (84 citations). Jonathan C. Prather has collaborated with scholars based in United States, Slovenia and Canada. Frequent co-authors include Douglas J. Norman, Linda Goodwin, John M. Barry, W. Ed Hammond, Angelo M. de Mattos, David F. Lobach, Joseph W. Hales, D.S. Keith, Ali J. Olyaei and Angelo DeMattos. Their work appears in journals such as Transplantation, The Journal of Urology, Journal of the American Society of Nephrology, Kidney International and Transplantation Proceedings.

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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