Nadeem Riaz
Impact in
- Otorhinolaryngology top 0.05%
- Head and Neck Cancer Studies
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Head and Neck Cancer Studies 126
- Oncology 76
- Cancer Immunotherapy and Biomarkers 28
- Co-authors
- Nancy Y. Lee (109 shared papers)Timothy An-thy Chan (20 shared papers)Luc G. T. Morris (27 shared papers)Vladimir Makarov (9 shared papers)Sean Matthew McBride (73 shared papers)Eric Jeffrey Sherman (68 shared papers)A. Ari Hakimi (5 shared papers)Alexis Desrichard (5 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (60 papers)Oral Oncology (15 papers)Clinical Cancer Research (12 papers)Head & Neck (11 papers)Medical Physics (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Nadeem Riaz
274 papers receiving 20.9k citations
Nadeem Riaz's Hit Papers
Peers
Comparison fields: 5 of 155
- Otorhinolaryngology 2.8k
- Oncology 9.5k
- Cancer Research 3.6k
- Immunology 4.0k
- Pulmonary and Respiratory Medicine 3.8k
Countries citing papers authored by Nadeem Riaz
This map shows the geographic impact of Nadeem Riaz'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 Nadeem Riaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadeem Riaz more than expected).
Fields of papers citing papers by Nadeem Riaz
This network shows the impact of papers produced by Nadeem Riaz. 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 Nadeem Riaz. The network helps show where Nadeem Riaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadeem Riaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 295 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor mutational load predicts survival after immunotherapy across multiple cancer types Hit paper breakdown → | 2019 | 3019 |
| 2 | Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab Hit paper breakdown → | 2017 | 1708 |
| 3 | Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer Hit paper breakdown → | 2017 | 928 |
| 4 | Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy Hit paper breakdown → | 2017 | 892 |
| 5 | ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach Hit paper breakdown → | 2019 | 803 |
| 6 | The head and neck cancer immune landscape and its immunotherapeutic implications Hit paper breakdown → | 2016 | 620 |
| 7 | Development and validation of a staging system for HPV-related oropharyngeal cancer by the International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S): a multicentre cohort study Hit paper breakdown → | 2016 | 581 |
| 8 | A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy Hit paper breakdown → | 2017 | 516 |
| 9 | Genetic diversity of tumors with mismatch repair deficiency influences anti–PD-1 immunotherapy response Hit paper breakdown → | 2019 | 429 |
| 10 | 2016 | 422 | |
| 11 | Randomized Phase II Trial of Nivolumab With Stereotactic Body Radiotherapy Versus Nivolumab Alone in Metastatic Head and Neck Squamous Cell Carcinoma Hit paper breakdown → | 2020 | 323 |
| 12 | Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors Hit paper breakdown → | 2021 | 317 |
| 13 | 2019 | 311 | |
| 14 | 2015 | 308 | |
| 15 | PARP Inhibitor Activity Correlates with SLFN11 Expression and Demonstrates Synergy with Temozolomide in Small Cell Lung Cancer Hit paper breakdown → | 2016 | 296 |
| 16 | 2020 | 244 | |
| 17 | 2016 | 228 | |
| 18 | 2019 | 222 | |
| 19 | 2018 | 221 | |
| 20 | 2021 | 200 |
About Nadeem Riaz
Nadeem Riaz is a scholar working on Otorhinolaryngology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 295 papers that have together received 21.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (126 papers), Cancer Genomics and Diagnostics (31 papers), Head and Neck Surgical Oncology (29 papers), Cancer Immunotherapy and Biomarkers (28 papers), DNA Repair Mechanisms (22 papers), Advanced Radiotherapy Techniques (19 papers), Lung Cancer Treatments and Mutations (18 papers) and Salivary Gland Tumors Diagnosis and Treatment (18 papers). The work is most often cited by research in Otorhinolaryngology (2.8k citations), Oncology (9.5k citations), Cancer Research (3.6k citations), Immunology (4.0k citations) and Pulmonary and Respiratory Medicine (3.8k citations). Nadeem Riaz has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Nancy Y. Lee, Timothy An-thy Chan, Luc G. T. Morris, Vladimir Makarov, Sean Matthew McBride, Eric Jeffrey Sherman, A. Ari Hakimi, Alexis Desrichard, Yasin Şenbabaoğlu and Simon N. Powell. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oral Oncology, Clinical Cancer Research, Head & Neck and Medical Physics.
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.