Anuja Sathe
Impact in
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- PI3K/AKT/mTOR signaling in cancer
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Lymphoma Diagnosis and Treatment 4
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- Immunotherapy and Immune Responses 3
- Immune cells in cancer 1
- Co-authors
- Hanlee P. Ji (23 shared papers)Roman Nawroth (10 shared papers)Susan M. Grimes (20 shared papers)Quan Hoang Nguyen (4 shared papers)Billy T. Lau (9 shared papers)José Alquicira-Hernández (1 shared paper)Joseph E. Powell (1 shared paper)Carlos J. Suarez (4 shared papers)
- Journals
- Blood (4 papers)Clinical Cancer Research (3 papers)Genome biology (2 papers)Urologic Oncology Seminars and Original Investigations (2 papers)NAR Genomics and Bioinformatics (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Anuja Sathe
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 492
- Cancer Research 96
- Oncology 153
- Immunology 108
- Pathology and Forensic Medicine 61
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 305 | |
| 2 | 2020 | 282 | |
| 3 | 2021 | 156 | |
| 4 | 2022 | 142 | |
| 5 | 2017 | 137 | |
| 6 | 2021 | 71 | |
| 7 | 2020 | 63 | |
| 8 | 2021 | 47 | |
| 9 | 2018 | 46 | |
| 10 | 2015 | 43 | |
| 11 | 2024 | 34 | |
| 12 | 2017 | 30 | |
| 13 | 2014 | 28 | |
| 14 | 2019 | 28 | |
| 15 | 2017 | 22 | |
| 16 | 2023 | 22 | |
| 17 | 2017 | 21 | |
| 18 | 2023 | 20 | |
| 19 | 2017 | 18 | |
| 20 | 2025 | 14 |
About Anuja Sathe
Anuja Sathe is a scholar working on Pathology and Forensic Medicine, Immunology, Cancer Research, Molecular Biology and Surgery, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (1 paper). The work is most often cited by research in Molecular Biology (492 citations), Cancer Research (96 citations), Oncology (153 citations), Immunology (108 citations) and Pathology and Forensic Medicine (61 citations). Anuja Sathe has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Hanlee P. Ji, Roman Nawroth, Susan M. Grimes, Quan Hoang Nguyen, Billy T. Lau, José Alquicira-Hernández, Joseph E. Powell, Carlos J. Suarez, George A. Poultsides and Jiamin Chen. Their work appears in journals such as Blood, Clinical Cancer Research, Genome biology, Urologic Oncology Seminars and Original Investigations and NAR Genomics and Bioinformatics.
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.