Kate A. Markey
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Hematology 23
- Hematopoietic Stem Cell Transplantation 20
- Immunology 36
- T-cell and B-cell Immunology 28
- Immune Cell Function and Interaction 23
- Immunotherapy and Immune Responses 19
- Co-authors
- Geoffrey R. HillKelli P. A. MacDonaldRachel D. KunsNeil C. RaffeltStuart D. OlverAlistair DonAndrew D. CloustonYana A. Wilson
- Journals
- Blood (20 papers)The Journal of Immunology (6 papers)Nature Medicine (2 papers)Blood Advances (2 papers)Biology of Blood and Marrow Transplantation (2 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Kate A. Markey
56 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Hematology 836
- Immunology 1.3k
- Transplantation 62
- Oncology 441
- Genetics 90
Countries citing papers authored by Kate A. Markey
This map shows the geographic impact of Kate A. Markey'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 Kate A. Markey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate A. Markey more than expected).
Fields of papers citing papers by Kate A. Markey
This network shows the impact of papers produced by Kate A. Markey. 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 Kate A. Markey. The network helps show where Kate A. Markey may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate A. Markey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 38 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 36 | |
| 9 | 2017 | 103 | |
| 10 | 2017 | 74 | |
| 11 | 2015 | 27 | |
| 12 | 2013 | 90 | |
| 13 | 2011 | 156 | |
| 14 | 2010 | 99 | |
| 15 | 2010 | 34 | |
| 16 | Conventional dendritic cells are the critical donor APC presenting alloantigen after BMT | 2009 | 1 |
| 17 | 2009 | 41 | |
| 18 | 2009 | 3 | |
| 19 | 2009 | 48 | |
| 20 | 2008 | 13 |
About Kate A. Markey
Kate A. Markey is a scholar working on Hematology, Immunology, Clinical Biochemistry, Oncology and Infectious Diseases, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (28 papers), Immune Cell Function and Interaction (23 papers), Hematopoietic Stem Cell Transplantation (20 papers), Immunotherapy and Immune Responses (19 papers), Gut microbiota and health (7 papers), Neutropenia and Cancer Infections (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Hematology (836 citations), Immunology (1.3k citations), Transplantation (62 citations), Oncology (441 citations) and Genetics (90 citations). Kate A. Markey has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Geoffrey R. Hill, Kelli P. A. MacDonald, Rachel D. Kuns, Neil C. Raffelt, Stuart D. Olver, Alistair Don, Andrew D. Clouston, Yana A. Wilson, Antiopi Varelias and Mark J. Smyth. Their work appears in journals such as Blood, The Journal of Immunology, Nature Medicine, Blood Advances and Biology of Blood and Marrow Transplantation.
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.