Saranya Chumsri
- Oncology top 1%
- Molecular Biology top 10%
- Cancer Research top 2%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Keith L. KnutsonAixa SoyanoYanyan LouBhagirathbhai DholariaJulian A. Marin‐AcevedoGauri SabnisAngela BrodieTing Bao
- Topics
- HER2/EGFR in Cancer Research (25 papers)Cancer Cells and Metastasis (24 papers)Breast Cancer Treatment Studies (23 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Saranya Chumsri
113 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Oncology 2.1k
- Molecular Biology 1.3k
- Cancer Research 1.0k
- Immunology 628
- Pulmonary and Respiratory Medicine 588
Countries citing papers authored by Saranya Chumsri
This map shows the geographic impact of Saranya Chumsri'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 Saranya Chumsri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saranya Chumsri more than expected).
Fields of papers citing papers by Saranya Chumsri
This network shows the impact of papers produced by Saranya Chumsri. 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 Saranya Chumsri. The network helps show where Saranya Chumsri may publish in the future.
Co-authorship network of co-authors of Saranya Chumsri
This figure shows the co-authorship network connecting the top 25 collaborators of Saranya Chumsri. A scholar is included among the top collaborators of Saranya Chumsri 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 Saranya Chumsri. Saranya Chumsri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 11 | |
| 7 | 20 | |
| 8 | 23 | |
| 9 | 26 | |
| 10 | 23 | |
| 11 | 63 | |
| 12 | 25 | |
| 13 | 33 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 71 | |
| 17 | 126 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 14 |
About Saranya Chumsri
Saranya Chumsri is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 125 papers that have together received 3.8k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (25 papers), Cancer Cells and Metastasis (24 papers) and Breast Cancer Treatment Studies (23 papers). The work is most often cited by research in Oncology (2.1k citations), Cancer Research (1.0k citations) and Immunology (628 citations). Saranya Chumsri has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Keith L. Knutson, Aixa Soyano, Yanyan Lou, Bhagirathbhai Dholaria, Julian A. Marin‐Acevedo, Gauri Sabnis, Angela Brodie, Ting Bao, Daniel L. Adams and Stuart S. Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.