Kathy Kable

919 citations
18 papers · 680 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

    • Renal Transplantation Outcomes and Treatments 8
    • Cytomegalovirus and herpesvirus research 3
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Kathy Kable

17 papers receiving 656 citations

Peers

Kathy Kable
Comparison fields: 5 of 58
  • Transplantation 89
  • Epidemiology 425
  • Infectious Diseases 183
  • Oncology 157
  • Parasitology 26
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S Chernenko Canada
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Kathy Kable relative to Daniel Portela United States Daniel Portela's profile →
Citations per field
00.5×10×14.7×
Daniel Portela · 1×
Citations per year

Countries citing papers authored by Kathy Kable

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Kable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005282
2 201381
3 201178
4 201756
5 201246
6 201530
7 201621
8 202119
9 202215
10 201915
11 202011
12 20129
13 19995
14 20154
15 20124
16 20183
17 20141
18 20200

About Kathy Kable

Kathy Kable is a scholar working on Transplantation, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Surgery, having authored 18 papers that have together received 680 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (8 papers), Cytomegalovirus and herpesvirus research (3 papers), Polyomavirus and related diseases (3 papers), Organ Donation and Transplantation (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Transplantation (89 citations), Epidemiology (425 citations), Infectious Diseases (183 citations), Oncology (157 citations) and Parasitology (26 citations). Kathy Kable has collaborated with scholars based in Australia, Italy and Brazil. Frequent co-authors include Angela C Webster, Giovanni FM Strippoli, Elisabeth M Hodson, Jonathan C. Craig, Dushyanthi Vimalachandra, Peter Barclay, Cheryl Jones, Brian J. Nankivell, Germaine Wong and Jeremy R. Chapman. Their work appears in journals such as Transplantation, Transplant International, The Medical Journal of Australia, Cochrane Database of Systematic Reviews and American Journal of Kidney Diseases.

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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