Daniel Kazdal
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
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- Cancer Genomics and Diagnostics 36
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- Lung Cancer Treatments and Mutations 37
- Co-authors
- Albrecht Stenzinger (62 shared papers)Rémi Longuespée (16 shared papers)Peter Schirmacher (35 shared papers)Petros Christopoulos (25 shared papers)Mark Kriegsmann (26 shared papers)Volker Endris (17 shared papers)Jeroen Krijgsveld (1 shared paper)Mathias Kalxdorf (1 shared paper)
- Journals
- Genes Chromosomes and Cancer (9 papers)Lung Cancer (8 papers)British Journal of Cancer (7 papers)PROTEOMICS - CLINICAL APPLICATIONS (6 papers)International Journal of Cancer (5 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Daniel Kazdal
99 papers receiving 2.5k citations
Daniel Kazdal's Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 664
- Oncology 913
- Pulmonary and Respiratory Medicine 738
- Spectroscopy 238
- Health Informatics 20
Countries citing papers authored by Daniel Kazdal
This map shows the geographic impact of Daniel Kazdal'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 Daniel Kazdal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kazdal more than expected).
Fields of papers citing papers by Daniel Kazdal
This network shows the impact of papers produced by Daniel Kazdal. 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 Daniel Kazdal. The network helps show where Daniel Kazdal may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kazdal, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 211 | |
| 2 | 2019 | 130 | |
| 3 | 2020 | 87 | |
| 4 | 2019 | 85 | |
| 5 | 2019 | 79 | |
| 6 | Tumour mutational burden: clinical utility, challenges and emerging improvements Hit paper breakdown → | 2024 | 78 |
| 7 | 2019 | 77 | |
| 8 | 2021 | 67 | |
| 9 | 2022 | 62 | |
| 10 | 2021 | 57 | |
| 11 | 2022 | 55 | |
| 12 | 2019 | 50 | |
| 13 | 2021 | 49 | |
| 14 | 2019 | 44 | |
| 15 | 2022 | 44 | |
| 16 | 2018 | 41 | |
| 17 | 2017 | 40 | |
| 18 | 2020 | 40 | |
| 19 | 2021 | 40 | |
| 20 | 2020 | 36 |
About Daniel Kazdal
Daniel Kazdal is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 108 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (37 papers), Cancer Genomics and Diagnostics (36 papers), Genetic factors in colorectal cancer (11 papers), Cancer Immunotherapy and Biomarkers (9 papers), PARP inhibition in cancer therapy (7 papers), Lung Cancer Research Studies (6 papers), RNA modifications and cancer (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Cancer Research (664 citations), Oncology (913 citations), Pulmonary and Respiratory Medicine (738 citations), Spectroscopy (238 citations) and Health Informatics (20 citations). Daniel Kazdal has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Albrecht Stenzinger, Rémi Longuespée, Peter Schirmacher, Petros Christopoulos, Mark Kriegsmann, Volker Endris, Jeroen Krijgsveld, Mathias Kalxdorf, Torsten Müller and Michael Allgäeuer. Their work appears in journals such as Genes Chromosomes and Cancer, Lung Cancer, British Journal of Cancer, PROTEOMICS - CLINICAL APPLICATIONS and International Journal of Cancer.
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.