Ralph Jay Johnson

1.2k citations
19 papers · 937 · h-index 8

Impact in

  • Genetics top 5%
    • Connective tissue disorders research
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
    • Aortic Disease and Treatment Approaches
    • Aortic aneurysm repair treatments

Papers in

Ralph Jay Johnson

16 papers receiving 898 citations

Peers

Ralph Jay Johnson
Comparison fields: 5 of 65
  • Genetics 496
  • Pulmonary and Respiratory Medicine 274
  • Rheumatology 107
  • Cardiology and Cardiovascular Medicine 72
  • Health Information Management 22
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Ankana Daga United States
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Michella Ghassibe‐Sabbagh Lebanon
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Citations per field
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Citations per year

Countries citing papers authored by Ralph Jay Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Jay Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph Jay Johnson. 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 Ralph Jay Johnson. The network helps show where Ralph Jay Johnson may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2009438
2 2011180
3 201494
4 201192
5 201074
6 201622
7 201812
8 202011
9 20206
10 20151
11 20161
12 20191
13 20201
14 20211
15 20221
16 20241
17 20251
18 20150
19 20220

About Ralph Jay Johnson

Ralph Jay Johnson is a scholar working on Health Information Management, Genetics, Hematology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 937 indexed citations. Recurring topics across this work include Connective tissue disorders research (5 papers), Electronic Health Records Systems (3 papers), Aortic Disease and Treatment Approaches (3 papers), Multiple Myeloma Research and Treatments (2 papers), Health and Conflict Studies (2 papers), Family and Disability Support Research (1 paper), Down syndrome and intellectual disability research (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Genetics (496 citations), Pulmonary and Respiratory Medicine (274 citations), Rheumatology (107 citations), Cardiology and Cardiovascular Medicine (72 citations) and Health Information Management (22 citations). Ralph Jay Johnson has collaborated with scholars based in United States. Frequent co-authors include Joseph Stapleton Coselli, Ludivine Russell, Siddharth K. Prakash, Ellen S. Regalado, Hazim J. Safi, Anthony L. Estrera, Dianna M. Milewicz, Suzanne M. Leal, John W. Belmont and Scott A. LeMaire. Their work appears in journals such as Blood, The American Journal of Human Genetics, American Journal of Hematology, PLoS Genetics and Nature Genetics.

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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