Sachet A. Shukla
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 23
- Immunology top 1%
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 16
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- Renal cell carcinoma treatment 13
- Ferroptosis and cancer prognosis 7
- Reproductive Medicine top 2%
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- Monoclonal and Polyclonal Antibodies Research 5
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- Single-cell and spatial transcriptomics 4
- Co-authors
- Catherine J. WuNir HacohenGad GetzMichael S. RooneyScott J. RodigBrooke E. HowittPanagiotis A. KonstantinopoulosAlan D. D’Andrea
- Cited by
- OncologyImmunologyCancer Research
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Sachet A. Shukla
45 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Oncology 3.6k
- Immunology 2.3k
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 1.5k
- Reproductive Medicine 301
Countries citing papers authored by Sachet A. Shukla
This map shows the geographic impact of Sachet A. Shukla'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 Sachet A. Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachet A. Shukla more than expected).
Fields of papers citing papers by Sachet A. Shukla
This network shows the impact of papers produced by Sachet A. Shukla. 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 Sachet A. Shukla. The network helps show where Sachet A. Shukla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sachet A. Shukla, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 64 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 51 | |
| 11 | 2019 | 99 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 112 | |
| 14 | Loss of PTEN Is Associated with Resistance to Anti-PD-1 Checkpoint Blockade Therapy in Metastatic Uterine Leiomyosarcomabreakdown → | 2017 | 361 |
| 15 | 2016 | 22 | |
| 16 | 2016 | 204 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 24 | |
| 19 | 2014 | 233 | |
| 20 | 2012 | 12 |
About Sachet A. Shukla
Sachet A. Shukla is a scholar working on Cancer Research, Oncology and Immunology, having authored 47 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (23 papers), Cancer Genomics and Diagnostics (16 papers), Renal cell carcinoma treatment (13 papers), Ferroptosis and cancer prognosis (7 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Oncology (3.6k citations), Immunology (2.3k citations) and Cancer Research (1.4k citations). Sachet A. Shukla has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Catherine J. Wu, Nir Hacohen, Gad Getz, Michael S. Rooney, Scott J. Rodig, Brooke E. Howitt, Panagiotis A. Konstantinopoulos, Alan D. D’Andrea, Kyle C. Strickland and Lauren L. Ritterhouse. Their work appears in journals such as Cell, Nature Genetics and Journal of Clinical 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.