Jane Wass
Impact in
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- Beetle Biology and Toxicology Studies
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- Cancer Research and Treatments
Papers in
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- Acute Myeloid Leukemia Research 4
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Paul Vincent (7 shared papers)Derek Raghavan (9 shared papers)Pamela Joan Russell (9 shared papers)Margaret Jelbart (6 shared papers)Edward J. Wills (6 shared papers)Shounan Yi (1 shared paper)Harry J. Iland (1 shared paper)Jeanette N. Philips (3 shared papers)
- Journals
- International Journal of Cancer (3 papers)Pathology (2 papers)Leukemia Research (2 papers)The Prostate (1 paper)European Urology (1 paper)
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Jane Wass
22 papers receiving 424 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 107
- Biotechnology 43
- Hematology 39
- Oncology 86
- Aging 6
Countries citing papers authored by Jane Wass
This map shows the geographic impact of Jane Wass'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 Wass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Wass more than expected).
Fields of papers citing papers by Jane Wass
This network shows the impact of papers produced by Jane Wass. 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 Wass. The network helps show where Jane Wass may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Wass, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bladder cancer xenografts: a model of tumor cell heterogeneity. | 1986 | 66 |
| 2 | 1991 | 57 | |
| 3 | 1988 | 52 | |
| 4 | 1993 | 48 | |
| 5 | 1987 | 35 | |
| 6 | 1989 | 30 | |
| 7 | 1986 | 26 | |
| 8 | 1989 | 20 | |
| 9 | 1985 | 20 | |
| 10 | 1993 | 16 | |
| 11 | 1988 | 15 | |
| 12 | 1986 | 14 | |
| 13 | 1989 | 9 | |
| 14 | 1993 | 8 | |
| 15 | 1982 | 5 | |
| 16 | Cell cycle homogeneity in bone marrow samples from different sites: flow cytometric evaluation of multiple samples from sheep. | 1983 | 4 |
| 17 | Fragment filtration: a method for the accurate determination of flow cytometric kinetic data from bone marrow aspirates. | 1986 | 3 |
| 18 | 1994 | 3 | |
| 19 | 1986 | 2 | |
| 20 | 1986 | 1 |
About Jane Wass
Jane Wass is a scholar working on Hematology, Cancer Research, Biotechnology, Surgery and Immunology, having authored 22 papers that have together received 436 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (7 papers), Acute Myeloid Leukemia Research (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Research and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Cancer Research (107 citations), Biotechnology (43 citations), Hematology (39 citations), Oncology (86 citations) and Aging (6 citations). Jane Wass has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Paul Vincent, Derek Raghavan, Pamela Joan Russell, Margaret Jelbart, Edward J. Wills, Shounan Yi, Harry J. Iland, Jeanette N. Philips, Graham A. R. Young and Sally M. Pittman. Their work appears in journals such as International Journal of Cancer, Pathology, Leukemia Research, The Prostate and European Urology.
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.