Kate L. Weiss
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
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- Renal cell carcinoma treatment 6
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- A. Ari Hakimi (7 shared papers)PAUL A. J. RUSSO (4 shared papers)Fengshen Kuo (2 shared papers)Jonathan Coleman (5 shared papers)Renzo G. DiNatale (4 shared papers)Robert John Motzer (5 shared papers)Chirag Krishna (1 shared paper)Guangwei Cui (1 shared paper)
- Journals
- World Journal of Urology (1 paper)Nature Biotechnology (1 paper)Cancer (1 paper)Molecular Cancer Research (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Kate L. Weiss
10 papers receiving 717 citations
Kate L. Weiss's Hit Papers
Peers
Comparison fields: 5 of 56
- Oncology 376
- Immunology 172
- Cancer Research 99
- Pulmonary and Respiratory Medicine 170
- Otorhinolaryngology 13
Countries citing papers authored by Kate L. Weiss
This map shows the geographic impact of Kate L. Weiss'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 L. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate L. Weiss more than expected).
Fields of papers citing papers by Kate L. Weiss
This network shows the impact of papers produced by Kate L. Weiss. 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 L. Weiss. The network helps show where Kate L. Weiss may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate L. Weiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors Hit paper breakdown → | 2021 | 317 |
| 2 | 2021 | 200 | |
| 3 | 2022 | 72 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 1 |
About Kate L. Weiss
Kate L. Weiss is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Immunology and Physiology, having authored 10 papers that have together received 720 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), IL-33, ST2, and ILC Pathways (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Renal and related cancers (1 paper), Tuberous Sclerosis Complex Research (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Oncology (376 citations), Immunology (172 citations), Cancer Research (99 citations), Pulmonary and Respiratory Medicine (170 citations) and Otorhinolaryngology (13 citations). Kate L. Weiss has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include A. Ari Hakimi, PAUL A. J. RUSSO, Fengshen Kuo, Jonathan Coleman, Renzo G. DiNatale, Robert John Motzer, Chirag Krishna, Guangwei Cui, Briana G. Nixon and Victor E. Reuter. Their work appears in journals such as World Journal of Urology, Nature Biotechnology, Cancer, Molecular Cancer Research and Nature Immunology.
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.