Jane Starczynski
Impact in
Papers in
-
- DNA Repair Mechanisms 3
- Glycosylation and Glycoproteins Research 3
- Cell death mechanisms and regulation 3
- Genetics 12
- Chronic Lymphocytic Leukemia Research 12
- Co-authors
- Chris Fegan (14 shared papers)Guy Pratt (12 shared papers)Laura C. Hooper (7 shared papers)Ian O. Ellis (9 shared papers)Chris Pepper (10 shared papers)Emad A. Rakha (4 shared papers)Andrew H.S. Lee (4 shared papers)Tatjana Stanković (5 shared papers)
- Journals
- Blood (6 papers)Histopathology (4 papers)American Journal of Clinical Pathology (3 papers)Journal of Clinical Pathology (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- United KingdomIrelandCanada
In The Last Decade
Jane Starczynski
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 72
- Genetics 501
- Oncology 572
- Pathology and Forensic Medicine 298
- Immunology 337
- Cancer Research 220
Countries citing papers authored by Jane Starczynski
This map shows the geographic impact of Jane Starczynski'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 Jane Starczynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Starczynski more than expected).
Fields of papers citing papers by Jane Starczynski
This network shows the impact of papers produced by Jane Starczynski. 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 Jane Starczynski. The network helps show where Jane Starczynski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Starczynski, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 205 | |
| 2 | 2008 | 193 | |
| 3 | 2005 | 179 | |
| 4 | 2004 | 92 | |
| 5 | 2006 | 73 | |
| 6 | 2013 | 69 | |
| 7 | 2005 | 66 | |
| 8 | 2012 | 61 | |
| 9 | 2005 | 58 | |
| 10 | 2011 | 57 | |
| 11 | 2004 | 52 | |
| 12 | 2007 | 44 | |
| 13 | 2003 | 42 | |
| 14 | 2022 | 38 | |
| 15 | 2010 | 36 | |
| 16 | 2009 | 34 | |
| 17 | 2005 | 32 | |
| 18 | 2003 | 30 | |
| 19 | 2006 | 29 | |
| 20 | 2016 | 28 |
About Jane Starczynski
Jane Starczynski is a scholar working on Molecular Biology, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Lymphoma Diagnosis and Treatment (8 papers), HER2/EGFR in Cancer Research (7 papers), Breast Cancer Treatment Studies (5 papers), DNA Repair Mechanisms (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Genetics (501 citations), Oncology (572 citations), Pathology and Forensic Medicine (298 citations), Immunology (337 citations) and Cancer Research (220 citations). Jane Starczynski has collaborated with scholars based in United Kingdom, Ireland and Canada. Frequent co-authors include Chris Fegan, Guy Pratt, Laura C. Hooper, Ian O. Ellis, Chris Pepper, Emad A. Rakha, Andrew H.S. Lee, Tatjana Stanković, Belinda Austen and John M.S. Bartlett. Their work appears in journals such as Blood, Histopathology, American Journal of Clinical Pathology, Journal of Clinical Pathology and British Journal of Haematology.
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.