Diana Chirovsky
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
-
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
-
- Head and Neck Cancer Studies 15
- Oncology 13
- Cancer Immunotherapy and Biomarkers 9
- Lung Cancer Research Studies 2
- Co-authors
- Jonathan D. Cheng (3 shared papers)Kapil Mayawala (1 shared paper)Mallika Lala (1 shared paper)Javed Butler (1 shared paper)Robert Cody (1 shared paper)Hemant Phatak (1 shared paper)Anne Marie McNeill (1 shared paper)Vasilisa Sazonov (5 shared papers)
- Journals
- Future Oncology (5 papers)Clinical Lung Cancer (3 papers)Frontiers in Oncology (2 papers)Oral Oncology (2 papers)Advances in Therapy (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Diana Chirovsky
42 papers receiving 479 citations
Peers
Comparison fields: 5 of 62
- Otorhinolaryngology 95
- Oncology 107
- Nephrology 19
- Hematology 30
- Pulmonary and Respiratory Medicine 76
Countries citing papers authored by Diana Chirovsky
This map shows the geographic impact of Diana Chirovsky'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 Diana Chirovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Chirovsky more than expected).
Fields of papers citing papers by Diana Chirovsky
This network shows the impact of papers produced by Diana Chirovsky. 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 Diana Chirovsky. The network helps show where Diana Chirovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Diana Chirovsky, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 77 | |
| 2 | 2018 | 63 | |
| 3 | 2009 | 42 | |
| 4 | 2013 | 40 | |
| 5 | 2020 | 36 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 14 | |
| 10 | 2010 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2018 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Diana Chirovsky
Diana Chirovsky is a scholar working on Otorhinolaryngology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Economics and Econometrics, having authored 44 papers that have together received 485 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (15 papers), Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Diagnosis and Treatment (7 papers), Lipoproteins and Cardiovascular Health (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Otorhinolaryngology (95 citations), Oncology (107 citations), Nephrology (19 citations), Hematology (30 citations) and Pulmonary and Respiratory Medicine (76 citations). Diana Chirovsky has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Jonathan D. Cheng, Kapil Mayawala, Mallika Lala, Javed Butler, Robert Cody, Hemant Phatak, Anne Marie McNeill, Vasilisa Sazonov, Yadong Cui and Veronika Fedirko. Their work appears in journals such as Future Oncology, Clinical Lung Cancer, Frontiers in Oncology, Oral Oncology and Advances in Therapy.
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.