Anuja Sathe
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Single-cell and spatial transcriptomics 18
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- Cancer Genomics and Diagnostics 12
- Co-authors
- Hanlee P. Ji (28 shared papers)Roman Nawroth (10 shared papers)Quan Nguyen (4 shared papers)Susan M. Grimes (20 shared papers)Billy T. Lau (11 shared papers)Joseph E. Powell (1 shared paper)José Alquicira-Hernández (1 shared paper)Carlos J. Suarez (3 shared papers)
- Journals
- Blood (6 papers)Clinical Cancer Research (3 papers)Cancer Research (3 papers)Genome biology (2 papers)npj Precision Oncology (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Anuja Sathe
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 311
- Oncology 302
- Immunology 238
- Molecular Biology 709
- Biophysics 59
Countries citing papers authored by Anuja Sathe
This map shows the geographic impact of Anuja Sathe'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 Anuja Sathe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuja Sathe more than expected).
Fields of papers citing papers by Anuja Sathe
This network shows the impact of papers produced by Anuja Sathe. 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 Anuja Sathe. The network helps show where Anuja Sathe may publish in the future.
Co-authors
The 25 scholars most cited alongside Anuja Sathe, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 266 | |
| 2 | 2020 | 243 | |
| 3 | 2017 | 131 | |
| 4 | 2022 | 119 | |
| 5 | 2020 | 60 | |
| 6 | 2021 | 50 | |
| 7 | 2018 | 45 | |
| 8 | 2021 | 42 | |
| 9 | 2015 | 42 | |
| 10 | 2019 | 27 | |
| 11 | 2014 | 27 | |
| 12 | 2017 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2017 | 18 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2025 | 8 | |
| 20 | 2025 | 7 |
About Anuja Sathe
Anuja Sathe is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (18 papers), Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Cancer Cells and Metastasis (3 papers), Immune Cell Function and Interaction (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Cancer Research (311 citations), Oncology (302 citations), Immunology (238 citations), Molecular Biology (709 citations) and Biophysics (59 citations). Anuja Sathe has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Hanlee P. Ji, Roman Nawroth, Quan Nguyen, Susan M. Grimes, Billy T. Lau, Joseph E. Powell, José Alquicira-Hernández, Carlos J. Suarez, George A. Poultsides and Robert J. Huang. Their work appears in journals such as Blood, Clinical Cancer Research, Cancer Research, Genome biology and npj Precision 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.