Emily Blyth
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Polyomavirus and related diseases
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 31
- Cytomegalovirus and herpesvirus research 29
- Herpesvirus Infections and Treatments 11
- Oncology 19
- CAR-T cell therapy research 12
- Polyomavirus and related diseases 8
- Co-authors
- David Gottlieb (51 shared papers)Leighton Clancy (31 shared papers)Kenneth Micklethwaite (31 shared papers)Renee Simms (16 shared papers)Barbara Withers (13 shared papers)Jane Burgess (8 shared papers)Ming‐Celine Dubosq (4 shared papers)Selmir Avdic (16 shared papers)
- Journals
- Cytotherapy (9 papers)Blood (9 papers)Biology of Blood and Marrow Transplantation (7 papers)Clinical & Translational Immunology (4 papers)Blood Advances (3 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Emily Blyth
57 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Oncology 703
- Epidemiology 795
- Hematology 252
- Immunology 398
- Transplantation 38
Countries citing papers authored by Emily Blyth
This map shows the geographic impact of Emily Blyth'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 Emily Blyth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Blyth more than expected).
Fields of papers citing papers by Emily Blyth
This network shows the impact of papers produced by Emily Blyth. 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 Emily Blyth. The network helps show where Emily Blyth may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Blyth, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 184 | |
| 2 | 2021 | 151 | |
| 3 | 2017 | 106 | |
| 4 | 2019 | 96 | |
| 5 | 2008 | 87 | |
| 6 | 2015 | 81 | |
| 7 | 2011 | 54 | |
| 8 | 2020 | 53 | |
| 9 | 2018 | 51 | |
| 10 | 2015 | 47 | |
| 11 | 2015 | 46 | |
| 12 | 2018 | 44 | |
| 13 | 2016 | 43 | |
| 14 | 2020 | 42 | |
| 15 | 2015 | 42 | |
| 16 | 2018 | 36 | |
| 17 | 2021 | 33 | |
| 18 | 2013 | 32 | |
| 19 | 2015 | 30 | |
| 20 | 2022 | 29 |
About Emily Blyth
Emily Blyth is a scholar working on Epidemiology, Oncology, Hematology, Immunology and Genetics, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (29 papers), Hematopoietic Stem Cell Transplantation (13 papers), CAR-T cell therapy research (12 papers), Herpesvirus Infections and Treatments (11 papers), Immune Cell Function and Interaction (11 papers), Virus-based gene therapy research (11 papers), Polyomavirus and related diseases (8 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Oncology (703 citations), Epidemiology (795 citations), Hematology (252 citations), Immunology (398 citations) and Transplantation (38 citations). Emily Blyth has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include David Gottlieb, Leighton Clancy, Kenneth Micklethwaite, Renee Simms, Barbara Withers, Jane Burgess, Ming‐Celine Dubosq, Selmir Avdic, Barry Slobedman and Peter J. Shaw. Their work appears in journals such as Cytotherapy, Blood, Biology of Blood and Marrow Transplantation, Clinical & Translational Immunology and Blood Advances.
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.