Kathryn Shaw
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Small Animals top 10%
- Brucella: diagnosis, epidemiology, treatment
Papers in
- Genetics 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Mesenchymal stem cell research 3
- Virus-based gene therapy research 2
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- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Marian Sturm (4 shared papers)Jalal A. Jazayeri (1 shared paper)Peter J. Leedman (1 shared paper)Richard Herrmann (4 shared papers)Paul Cannell (1 shared paper)Duncan Purtill (1 shared paper)Julian P. Cooney (1 shared paper)Michael Phillips (1 shared paper)
- Journals
- Leukemia (2 papers)Labour Economics (1 paper)Journal of Clinical Microbiology (1 paper)Stem Cell Research (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Kathryn Shaw
21 papers receiving 486 citations
Peers
Comparison fields: 5 of 100
- Genetics 151
- Small Animals 47
- Virology 23
- Hematology 46
- Immunology 78
Countries citing papers authored by Kathryn Shaw
This map shows the geographic impact of Kathryn Shaw'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 Kathryn Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Shaw more than expected).
Fields of papers citing papers by Kathryn Shaw
This network shows the impact of papers produced by Kathryn Shaw. 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 Kathryn Shaw. The network helps show where Kathryn Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathryn Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 76 | |
| 2 | 1999 | 66 | |
| 3 | 2004 | 62 | |
| 4 | 1996 | 57 | |
| 5 | 2007 | 57 | |
| 6 | 2018 | 56 | |
| 7 | 2007 | 29 | |
| 8 | 2016 | 24 | |
| 9 | 2017 | 18 | |
| 10 | 1997 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2015 | 12 | |
| 13 | 2017 | 9 | |
| 14 | A molecular toolbox for xanthophyll genes in wheat | 2008 | 4 |
| 15 | 2021 | 4 | |
| 16 | 2004 | 3 | |
| 17 | 2007 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2007 | 1 |
About Kathryn Shaw
Kathryn Shaw is a scholar working on Genetics, Hematology, Virology, Physical Therapy, Sports Therapy and Rehabilitation and Rheumatology, having authored 21 papers that have together received 517 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Neonatal Respiratory Health Research (3 papers), HIV Research and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Mesenchymal stem cell research (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Immune Cell Function and Interaction (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Genetics (151 citations), Small Animals (47 citations), Virology (23 citations), Hematology (46 citations) and Immunology (78 citations). Kathryn Shaw has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Marian Sturm, Jalal A. Jazayeri, Peter J. Leedman, Richard Herrmann, Paul Cannell, Duncan Purtill, Julian P. Cooney, Michael Phillips, Yuben P. Moodley and Dino B. A. Tan. Their work appears in journals such as Leukemia, Labour Economics, Journal of Clinical Microbiology, Stem Cell Research and Journal of Clinical Investigation.
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.