Piyush B. Gupta
- Molecular Biology top 0.5%
- Oncology top 0.1%
- Cancer Research top 0.2%
- Cell Biology top 0.5%
- Immunology top 2%
- Co-authors
- Robert A. WeinbergEric S. LanderCharlotte KuperwasserTamer T. ÖnderGuozhi JiangKai TaoFernando Arenzana‐SeisdedosThierry Delaunay
- Topics
- Cancer Cells and Metastasis (25 papers)Cancer Genomics and Diagnostics (8 papers)Epigenetics and DNA Methylation (6 papers)
- Partner nations
- United StatesSpainIndia
In The Last Decade
Piyush B. Gupta
55 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 7.8k
- Oncology 7.1k
- Cancer Research 3.5k
- Cell Biology 1.6k
- Immunology 1.3k
Countries citing papers authored by Piyush B. Gupta
This map shows the geographic impact of Piyush B. Gupta'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 Piyush B. Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piyush B. Gupta more than expected).
Fields of papers citing papers by Piyush B. Gupta
This network shows the impact of papers produced by Piyush B. Gupta. 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 Piyush B. Gupta. The network helps show where Piyush B. Gupta may publish in the future.
Co-authorship network of co-authors of Piyush B. Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Piyush B. Gupta. A scholar is included among the top collaborators of Piyush B. Gupta 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 Piyush B. Gupta. Piyush B. Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 27 | |
| 4 | 34 | |
| 5 | Phenotypic Plasticity: Driver of Cancer Initiation, Progression, and Therapy Resistancebreakdown → | 400 |
| 6 | 93 | |
| 7 | 20 | |
| 8 | 240 | |
| 9 | 81 | |
| 10 | 284 | |
| 11 | 48 | |
| 12 | 1 | |
| 13 | 66 | |
| 14 | AKT-Independent Signaling Downstream of Oncogenic PIK3CA Mutations in Human Cancer | 430 |
| 15 | Identification of Selective Inhibitors of Cancer Stem Cells by High-Throughput Screeningbreakdown → | 1939 |
| 16 | 11 | |
| 17 | Loss of E-Cadherin Promotes Metastasis via Multiple Downstream Transcriptional Pathwaysbreakdown → | 1221 |
| 18 | 138 | |
| 19 | 53 | |
| 20 | 67 |
About Piyush B. Gupta
Piyush B. Gupta is a scholar working on Oncology, Modeling and Simulation and Cancer Research, having authored 55 papers that have together received 13.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (25 papers), Cancer Genomics and Diagnostics (8 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Oncology (7.1k citations), Cancer Research (3.5k citations) and Molecular Biology (7.8k citations). Piyush B. Gupta has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Robert A. Weinberg, Eric S. Lander, Charlotte Kuperwasser, Tamer T. Önder, Guozhi Jiang, Kai Tao, Fernando Arenzana‐Seisdedos, Thierry Delaunay, Akira Orimo and Dennis C. Sgroi. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.