Suman Rao
- Oncology top 0.1%
- Pulmonary and Respiratory Medicine top 0.2%
- Immunology top 1%
- Cancer Research top 1%
- Molecular Biology top 10%
- Co-authors
- Tibor CsősziSinéad CuffeAli TafreshiRina HuiNir PeledKatsuyuki HottaDelvys Rodríguez‐AbreuJulie R. Brahmer
- Topics
- Cancer Immunotherapy and Biomarkers (16 papers)Lung Cancer Treatments and Mutations (11 papers)Lung Cancer Diagnosis and Treatment (8 papers)
- Partner nations
- United StatesSpainHungary
In The Last Decade
Suman Rao
21 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 7.9k
- Pulmonary and Respiratory Medicine 5.4k
- Immunology 1.8k
- Cancer Research 1.2k
- Molecular Biology 895
Countries citing papers authored by Suman Rao
This map shows the geographic impact of Suman Rao'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 Suman Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suman Rao more than expected).
Fields of papers citing papers by Suman Rao
This network shows the impact of papers produced by Suman Rao. 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 Suman Rao. The network helps show where Suman Rao may publish in the future.
Co-authorship network of co-authors of Suman Rao
This figure shows the co-authorship network connecting the top 25 collaborators of Suman Rao. A scholar is included among the top collaborators of Suman Rao 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 Suman Rao. Suman Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Five-Year Outcomes With Pembrolizumab Versus Chemotherapy for Metastatic Non–Small-Cell Lung Cancer With PD-L1 Tumor Proportion Score ≥ 50%breakdown → | 616 |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 61 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | Updated Analysis of KEYNOTE-024: Pembrolizumab Versus Platinum-Based Chemotherapy for Advanced Non–Small-Cell Lung Cancer With PD-L1 Tumor Proportion Score of 50% or Greaterbreakdown → | 1121 |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 255 | |
| 17 | 57 | |
| 18 | 42 | |
| 19 | 12 | |
| 20 | Pembrolizumab versus Chemotherapy for PD-L1–Positive Non–Small-Cell Lung Cancerbreakdown → | 7054 |
About Suman Rao
Suman Rao is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 21 papers that have together received 9.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Lung Cancer Treatments and Mutations (11 papers) and Lung Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Oncology (7.9k citations), Pulmonary and Respiratory Medicine (5.4k citations) and Immunology (1.8k citations). Suman Rao has collaborated with scholars based in United States, Spain and Hungary. Frequent co-authors include Tibor Csőszi, Sinéad Cuffe, Ali Tafreshi, Rina Hui, Nir Peled, Katsuyuki Hotta, Delvys Rodríguez‐Abreu, Julie R. Brahmer, Maya Gottfried and Andrew Robinson. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer Research.
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.