Satya Das
- Oncology top 2%
- Lung Cancer Research Studies 20
- Cancer Immunotherapy and Biomarkers 14
- Colorectal Cancer Treatments and Studies 11
- Pancreatic and Hepatic Oncology Research 5
- Neurology top 5%
- Neuroblastoma Research and Treatments 18
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances 26
- Immunology top 10%
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- Cancer Genomics and Diagnostics 6
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Douglas B. JohnsonArvind DasariJordan BerlinTaymeyah Al‐ToubahJonathan StrosbergGhassan El‐HaddadSigurdís HaraldsdóttirDana B. Cardin
- Cited by
- OncologyNeurologyEpidemiology
- Journals
- Journal of Clinical Oncology (10 papers)The Oncologist (4 papers)Current Treatment Options in Oncology (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Satya Das
50 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Oncology 1.3k
- Neurology 275
- Epidemiology 489
- Immunology 259
- Pulmonary and Respiratory Medicine 292
Countries citing papers authored by Satya Das
This map shows the geographic impact of Satya Das'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 Satya Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satya Das more than expected).
Fields of papers citing papers by Satya Das
This network shows the impact of papers produced by Satya Das. 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 Satya Das. The network helps show where Satya Das may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satya Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 20 | |
| 9 | Epidemiology, Incidence, and Prevalence of Neuroendocrine Neoplasms: Are There Global Differences?breakdown → | 2021 | 203 |
| 10 | 2021 | 1 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 19 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 20 | |
| 19 | 2018 | 42 | |
| 20 | 2018 | 17 |
About Satya Das
Satya Das is a scholar working on Oncology, Neurology, Epidemiology, Cancer Research and Biotechnology, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (26 papers), Lung Cancer Research Studies (20 papers), Neuroblastoma Research and Treatments (18 papers), Cancer Immunotherapy and Biomarkers (14 papers), Colorectal Cancer Treatments and Studies (11 papers), Cancer Genomics and Diagnostics (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Oncology (1.3k citations), Neurology (275 citations), Epidemiology (489 citations), Immunology (259 citations) and Pulmonary and Respiratory Medicine (292 citations). Satya Das has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Douglas B. Johnson, Arvind Dasari, Jordan Berlin, Taymeyah Al‐Toubah, Jonathan Strosberg, Ghassan El‐Haddad, Sigurdís Haraldsdóttir, Dana B. Cardin, Kristen K. Ciombor and Raul S. González. Their work appears in journals such as Journal of Clinical Oncology, The Oncologist, Current Treatment Options in Oncology, JAMA Network Open and Clinical Colorectal 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.