Smita Agrawal
- Co-authors
- David V. SchafferKyle KurpinskiAijun WangSong LiJulia ChuHayley LamAmanda MikelsJaemin Jeong
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Pluripotent Stem Cells Research (2 papers)Developmental Biology and Gene Regulation (2 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaTrends in biotechnology
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Smita Agrawal
11 papers receiving 488 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 337
- Surgery 127
- Genetics 124
- Physiology 60
- Cell Biology 58
Countries citing papers authored by Smita Agrawal
This map shows the geographic impact of Smita Agrawal'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 Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smita Agrawal more than expected).
Fields of papers citing papers by Smita Agrawal
This network shows the impact of papers produced by Smita Agrawal. 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 Agrawal. The network helps show where Smita Agrawal may publish in the future.
Co-authorship network of co-authors of Smita Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Smita Agrawal. A scholar is included among the top collaborators of Smita Agrawal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Smita Agrawal. Smita Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining. | 4 |
| 9 | 200 | |
| 10 | 55 | |
| 11 | 189 | |
| 12 | 19 |
About Smita Agrawal
Smita Agrawal is a scholar working on Developmental Neuroscience, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 492 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Pluripotent Stem Cells Research (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Aging (40 citations), Genetics (124 citations) and Developmental Neuroscience (23 citations). Smita Agrawal has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include David V. Schaffer, Kyle Kurpinski, Aijun Wang, Song Li, Julia Chu, Hayley Lam, Amanda Mikels, Jaemin Jeong, Anshu Agrawal and Michael Hsu. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Trends in biotechnology.
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.