Helen Parry
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Immunology 19
- Immunodeficiency and Autoimmune Disorders 8
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Genetics 16
- Chronic Lymphocytic Leukemia Research 15
- Co-authors
- Paul Moss (23 shared papers)Guy Pratt (15 shared papers)Jianmin Zuo (13 shared papers)Rachel Bruton (9 shared papers)Peter Hillmen (5 shared papers)Tatjana Stanković (6 shared papers)Kevin S. Channer (3 shared papers)Shauna Masters (1 shared paper)
- Journals
- British Journal of Haematology (3 papers)Blood (3 papers)Oncotarget (2 papers)Immunity & Ageing (2 papers)Cardiovascular Therapeutics (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Helen Parry
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Genetics 234
- Infectious Diseases 267
- Immunology 268
- Oncology 303
- Endocrinology, Diabetes and Metabolism 122
Countries citing papers authored by Helen Parry
This map shows the geographic impact of Helen Parry'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 Helen Parry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Parry more than expected).
Fields of papers citing papers by Helen Parry
This network shows the impact of papers produced by Helen Parry. 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 Helen Parry. The network helps show where Helen Parry may publish in the future.
Co-authors
The 25 scholars most cited alongside Helen Parry, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 211 | |
| 2 | 2010 | 168 | |
| 3 | 2016 | 84 | |
| 4 | 2001 | 75 | |
| 5 | 2021 | 74 | |
| 6 | 2015 | 70 | |
| 7 | 2022 | 59 | |
| 8 | 2016 | 48 | |
| 9 | 2010 | 43 | |
| 10 | 2015 | 43 | |
| 11 | 2021 | 38 | |
| 12 | 2002 | 31 | |
| 13 | 2007 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2017 | 23 | |
| 19 | 2015 | 22 | |
| 20 | 2015 | 21 |
About Helen Parry
Helen Parry is a scholar working on Immunology, Genetics, Cardiology and Cardiovascular Medicine, Infectious Diseases and Molecular Biology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Immunodeficiency and Autoimmune Disorders (8 papers), Immune Cell Function and Interaction (5 papers), Heart Failure Treatment and Management (5 papers), COVID-19 Clinical Research Studies (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Genetics (234 citations), Infectious Diseases (267 citations), Immunology (268 citations), Oncology (303 citations) and Endocrinology, Diabetes and Metabolism (122 citations). Helen Parry has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Moss, Guy Pratt, Jianmin Zuo, Rachel Bruton, Peter Hillmen, Tatjana Stanković, Kevin S. Channer, Shauna Masters, Philip Bejon and Peter J. Pugh. Their work appears in journals such as British Journal of Haematology, Blood, Oncotarget, Immunity & Ageing and Cardiovascular Therapeutics.
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.