Ashley A. Kowalewski
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- CAR-T cell therapy research
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
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- Cancer Genomics and Diagnostics 1
- Cancer-related molecular mechanisms research 1
- Co-authors
- Hui Yu (4 shared papers)Fred R. Hirsch (3 shared papers)Christopher J. Rivard (3 shared papers)Janis Marie Taube (2 shared papers)David L. Rimm (2 shared papers)Robert A. Anders (2 shared papers)Jamaal Rehman (2 shared papers)Robert Homer (2 shared papers)
- Partner nations
- United StatesPolandChina
In The Last Decade
Ashley A. Kowalewski
7 papers receiving 969 citations
Ashley A. Kowalewski's Hit Papers
Peers
Comparison fields: 5 of 58
- Oncology 749
- Immunology 215
- Pulmonary and Respiratory Medicine 259
- Cancer Research 111
- Pathology and Forensic Medicine 42
Countries citing papers authored by Ashley A. Kowalewski
This map shows the geographic impact of Ashley A. Kowalewski'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 Ashley A. Kowalewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley A. Kowalewski more than expected).
Fields of papers citing papers by Ashley A. Kowalewski
This network shows the impact of papers produced by Ashley A. Kowalewski. 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 Ashley A. Kowalewski. The network helps show where Ashley A. Kowalewski may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashley A. Kowalewski, 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 | A Prospective, Multi-institutional, Pathologist-Based Assessment of 4 Immunohistochemistry Assays for PD-L1 Expression in Non–Small Cell Lung Cancer Hit paper breakdown → | 2017 | 663 |
| 2 | 2016 | 160 | |
| 3 | 2016 | 117 | |
| 4 | 2015 | 32 | |
| 5 | 2016 | 10 | |
| 6 | EGFR IHC and FISH Correlative Analyses (SQUIRE Trial): necitumumab plus gemcitabine-cisplatin vs gemcitabine-cisplatin in 1st-line squamous NSCLC | 2015 | 4 |
| 7 | 2017 | 1 |
About Ashley A. Kowalewski
Ashley A. Kowalewski is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 987 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer-related molecular mechanisms research (1 paper), RNA modifications and cancer (1 paper), Medical Imaging Techniques and Applications (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (749 citations), Immunology (215 citations), Pulmonary and Respiratory Medicine (259 citations), Cancer Research (111 citations) and Pathology and Forensic Medicine (42 citations). Ashley A. Kowalewski has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Hui Yu, Fred R. Hirsch, Christopher J. Rivard, Janis Marie Taube, David L. Rimm, Robert A. Anders, Jamaal Rehman, Robert Homer, Julia A. Bridge and Eunhee S. Yi. Their work appears in journals such as Journal of Thoracic Oncology, Cancer Science and JAMA 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.