Răzvan Cristescu
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Computer Networks and Communications top 2%
- Molecular Biology
- Immunology top 5%
- Co-authors
- Martin VetterliBaltasar Beferull‐LozanoJared LuncefordMark AyersAndrey LobodaDeepti Aurora-GargYung‐Jue BangDeepak Ganesan
- Topics
- Cancer Immunotherapy and Biomarkers (42 papers)Cancer Genomics and Diagnostics (29 papers)Gastric Cancer Management and Outcomes (13 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Răzvan Cristescu
100 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 1.0k
- Computer Networks and Communications 776
- Molecular Biology 605
- Immunology 559
Countries citing papers authored by Răzvan Cristescu
This map shows the geographic impact of Răzvan Cristescu'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 Răzvan Cristescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Răzvan Cristescu more than expected).
Fields of papers citing papers by Răzvan Cristescu
This network shows the impact of papers produced by Răzvan Cristescu. 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 Răzvan Cristescu. The network helps show where Răzvan Cristescu may publish in the future.
Co-authorship network of co-authors of Răzvan Cristescu
This figure shows the co-authorship network connecting the top 25 collaborators of Răzvan Cristescu. A scholar is included among the top collaborators of Răzvan Cristescu 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 Răzvan Cristescu. Răzvan Cristescu 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 | 7 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 40 | |
| 9 | 55 | |
| 10 | 54 | |
| 11 | 40 | |
| 12 | 11 | |
| 13 | 27 | |
| 14 | T-Cell–Inflamed Gene-Expression Profile, Programmed Death Ligand 1 Expression, and Tumor Mutational Burden Predict Efficacy in Patients Treated With Pembrolizumab Across 20 Cancers: KEYNOTE-028breakdown → | 656 |
| 15 | 16 | |
| 16 | 227 | |
| 17 | 26 | |
| 18 | 45 | |
| 19 | Power Control for Target Tracking in Sensor Networks | 12 |
| 20 | Flow control for multiple access queues | 1 |
About Răzvan Cristescu
Răzvan Cristescu is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 107 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (42 papers), Cancer Genomics and Diagnostics (29 papers) and Gastric Cancer Management and Outcomes (13 papers). The work is most often cited by research in Oncology (1.8k citations), Computer Networks and Communications (776 citations) and Cancer Research (504 citations). Răzvan Cristescu has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Martin Vetterli, Baltasar Beferull‐Lozano, Jared Lunceford, Mark Ayers, Andrey Loboda, Deepti Aurora-Garg, Yung‐Jue Bang, Deepak Ganesan, Julie Kobie and Patrick A. Ott. Their work appears in journals such as Nature Medicine, Nature Communications 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.