Smita Asare
Impact in
- Transplantation top 10%
-
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- PARP inhibition in cancer therapy
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 9
- Cancer Treatment and Pharmacology 2
- HER2/EGFR in Cancer Research 2
-
- Cancer Genomics and Diagnostics 6
- MicroRNA in disease regulation 2
- Breast Cancer Treatment Studies 2
- Co-authors
- Christina Yau (17 shared papers)A. Jo Chien (3 shared papers)Douglas Yee (11 shared papers)Rita Nanda (7 shared papers)Minetta C. Liu (5 shared papers)Laura Esserman (4 shared papers)Angela DeMichele (9 shared papers)Kathy S. Albain (2 shared papers)
- Journals
- Cancer Research (13 papers)Journal of Clinical Oncology (2 papers)Frontiers in Oncology (1 paper)BMC Medical Informatics and Decision Making (1 paper)npj Breast Cancer (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Smita Asare
21 papers receiving 300 citations
Peers
Comparison fields: 5 of 40
- Transplantation 27
- Oncology 183
- Cancer Research 97
- Immunology 75
- Hepatology 21
Countries citing papers authored by Smita Asare
This map shows the geographic impact of Smita Asare'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 Smita Asare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smita Asare more than expected).
Fields of papers citing papers by Smita Asare
This network shows the impact of papers produced by Smita Asare. 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 Smita Asare. The network helps show where Smita Asare may publish in the future.
Co-authors
The 25 scholars most cited alongside Smita Asare, 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 | 2017 | 158 | |
| 2 | 2016 | 47 | |
| 3 | 2020 | 25 | |
| 4 | 2009 | 21 | |
| 5 | 2019 | 10 | |
| 6 | 2019 | 7 | |
| 7 | 2018 | 6 | |
| 8 | 2013 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2022 | 1 |
About Smita Asare
Smita Asare is a scholar working on Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Surgery, having authored 22 papers that have together received 300 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Cancer Genomics and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), MicroRNA in disease regulation (2 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer Treatment and Pharmacology (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Transplantation (27 citations), Oncology (183 citations), Cancer Research (97 citations), Immunology (75 citations) and Hepatology (21 citations). Smita Asare has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Christina Yau, A. Jo Chien, Douglas Yee, Rita Nanda, Minetta C. Liu, Laura Esserman, Angela DeMichele, Kathy S. Albain, Laura van’t Veer and Erin D. Ellis. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Frontiers in Oncology, BMC Medical Informatics and Decision Making and npj Breast Cancer.
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.