Kate Sasser
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
- Oncology 19
- CAR-T cell therapy research 5
- Cytokine Signaling Pathways and Interactions 4
- Hematology 14
- Multiple Myeloma Research and Treatments 11
- Acute Myeloid Leukemia Research 4
- Co-authors
- Parul Doshi (4 shared papers)Eric B. Haura (1 shared paper)Lanxi Song (1 shared paper)William J. Fulp (1 shared paper)Soner Altiok (1 shared paper)Matthew A. Smith (1 shared paper)Amy Axel (8 shared papers)Christopher Chiu (3 shared papers)
- Journals
- Blood (13 papers)Cancer Research (6 papers)Journal of Clinical Oncology (5 papers)JAMA Network Open (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Kate Sasser
33 papers receiving 497 citations
Peers
Comparison fields: 5 of 60
- Hematology 213
- Physiology 62
- Oncology 292
- Immunology 172
- Genetics 63
Countries citing papers authored by Kate Sasser
This map shows the geographic impact of Kate Sasser'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 Sasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Sasser more than expected).
Fields of papers citing papers by Kate Sasser
This network shows the impact of papers produced by Kate Sasser. 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 Sasser. The network helps show where Kate Sasser may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Sasser, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2014 | 85 | |
| 3 | 2018 | 62 | |
| 4 | 2013 | 26 | |
| 5 | 2022 | 25 | |
| 6 | 2016 | 20 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2015 | 10 | |
| 14 | 2015 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 3 |
About Kate Sasser
Kate Sasser is a scholar working on Oncology, Hematology, Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 41 papers that have together received 504 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Multiple Myeloma Research and Treatments (11 papers), Cancer Genomics and Diagnostics (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (213 citations), Physiology (62 citations), Oncology (292 citations), Immunology (172 citations) and Genetics (63 citations). Kate Sasser has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Parul Doshi, Eric B. Haura, Lanxi Song, William J. Fulp, Soner Altiok, Matthew A. Smith, Amy Axel, Christopher Chiu, Jeroen Lammerts van Bueren and Marije B. Overdijk. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, JAMA Network Open and Journal of Thoracic Oncology.
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.