Iveta Kudaba
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery
- Gastroenterology top 5%
- Immunology
- Co-authors
- Igor BondarenkoDariusz M. KowalskiTony MokVichien SrimuninnimitByoung Chul ChoYi‐Long WuGilberto de CastroJoseph Chao
- Topics
- Cancer Immunotherapy and Biomarkers (11 papers)Gastric Cancer Management and Outcomes (6 papers)Lung Cancer Treatments and Mutations (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaClinical Cancer Research
- Partner nations
- LatviaUnited StatesJapan
In The Last Decade
Iveta Kudaba
23 papers receiving 739 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Oncology 635
- Pulmonary and Respiratory Medicine 490
- Surgery 97
- Gastroenterology 87
- Immunology 75
Countries citing papers authored by Iveta Kudaba
This map shows the geographic impact of Iveta Kudaba'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 Iveta Kudaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iveta Kudaba more than expected).
Fields of papers citing papers by Iveta Kudaba
This network shows the impact of papers produced by Iveta Kudaba. 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 Iveta Kudaba. The network helps show where Iveta Kudaba may publish in the future.
Co-authorship network of co-authors of Iveta Kudaba
This figure shows the co-authorship network connecting the top 25 collaborators of Iveta Kudaba. A scholar is included among the top collaborators of Iveta Kudaba 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 Iveta Kudaba. Iveta Kudaba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | Five-Year Outcomes With Pembrolizumab Versus Chemotherapy as First-Line Therapy in Patients With Non–Small-Cell Lung Cancer and Programmed Death Ligand-1 Tumor Proportion Score ≥ 1% in the KEYNOTE-042 Studybreakdown → | 151 |
| 3 | 17 | |
| 4 | 20 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 32 | |
| 13 | 22 | |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 138 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 1 |
About Iveta Kudaba
Iveta Kudaba is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 24 papers that have together received 750 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Gastric Cancer Management and Outcomes (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Oncology (635 citations), Gastroenterology (87 citations) and Pulmonary and Respiratory Medicine (490 citations). Iveta Kudaba has collaborated with scholars based in Latvia, United States and Japan. Frequent co-authors include Igor Bondarenko, Dariusz M. Kowalski, Tony Mok, Vichien Srimuninnimit, Byoung Chul Cho, Yi‐Long Wu, Gilberto de Castro, Joseph Chao, Marcelo Garrido and Kohei Shitara. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical 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.