Andrew Ip
Impact in
-
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer survivorship and care
Papers in
- Oncology 38
- CAR-T cell therapy research 17
- Cancer Immunotherapy and Biomarkers 10
- Cancer survivorship and care 4
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- Cancer Genomics and Diagnostics 11
- Co-authors
- Jonathon B. Cohen (3 shared papers)Irl Brian Greenwell (2 shared papers)Adam P. Dicker (1 shared paper)Noelle L. Williams (1 shared paper)Shivank Garg (1 shared paper)André Goy (32 shared papers)Andrew L. Pecora (21 shared papers)Maher Albitar (15 shared papers)
- Journals
- Blood (16 papers)Journal of Clinical Oncology (14 papers)Cancers (4 papers)Frontiers in Oncology (3 papers)HemaSphere (2 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Andrew Ip
53 papers receiving 449 citations
Peers
Comparison fields: 5 of 77
- Oncology 179
- Health Informatics 9
- Genetics 54
- Pathology and Forensic Medicine 67
- Cancer Research 48
Countries citing papers authored by Andrew Ip
This map shows the geographic impact of Andrew Ip'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 Andrew Ip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Ip more than expected).
Fields of papers citing papers by Andrew Ip
This network shows the impact of papers produced by Andrew Ip. 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 Andrew Ip. The network helps show where Andrew Ip may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Ip, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 103 | |
| 2 | PI3K Inhibitors: Understanding Toxicity Mechanisms and Management. | 2017 | 97 |
| 3 | 2016 | 47 | |
| 4 | 2022 | 25 | |
| 5 | 2023 | 17 | |
| 6 | 2025 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Andrew Ip
Andrew Ip is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Hematology and Genetics, having authored 68 papers that have together received 455 indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Cancer Genomics and Diagnostics (11 papers), Lymphoma Diagnosis and Treatment (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Acute Myeloid Leukemia Research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer survivorship and care (4 papers) and Economic and Financial Impacts of Cancer (4 papers). The work is most often cited by research in Oncology (179 citations), Health Informatics (9 citations), Genetics (54 citations), Pathology and Forensic Medicine (67 citations) and Cancer Research (48 citations). Andrew Ip has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Jonathon B. Cohen, Irl Brian Greenwell, Adam P. Dicker, Noelle L. Williams, Shivank Garg, André Goy, Andrew L. Pecora, Maher Albitar, David A. Kooby and Shishir K. Maithel. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancers, Frontiers in Oncology and HemaSphere.
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.