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
-
- Lung Cancer Treatments and Mutations 35
- Oncology 39
- Lung Cancer Research Studies 13
- Cancer Immunotherapy and Biomarkers 11
- Co-authors
- Albrecht Stenzinger (62 shared papers)Rémi Longuespée (16 shared papers)Peter Schirmacher (33 shared papers)Mark Kriegsmann (29 shared papers)Petros Christopoulos (28 shared papers)Volker Endris (18 shared papers)Jan Budczies (27 shared papers)Arne Warth (16 shared papers)
- Journals
- PROTEOMICS - CLINICAL APPLICATIONS (6 papers)Lung Cancer (5 papers)Genes Chromosomes and Cancer (5 papers)Frontiers in Oncology (5 papers)International Journal of Cancer (4 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Daniel Kazdal
70 papers receiving 1.4k citations
Daniel Kazdal's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 413
- Oncology 658
- Pulmonary and Respiratory Medicine 512
- Spectroscopy 225
- Health Informatics 17
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 170 | |
| 2 | 2019 | 110 | |
| 3 | 2019 | 69 | |
| 4 | 2021 | 56 | |
| 5 | 2022 | 49 | |
| 6 | Tumour mutational burden: clinical utility, challenges and emerging improvements Hit paper breakdown → | 2024 | 47 |
| 7 | 2021 | 43 | |
| 8 | 2021 | 42 | |
| 9 | 2018 | 39 | |
| 10 | 2019 | 39 | |
| 11 | 2022 | 38 | |
| 12 | 2017 | 38 | |
| 13 | 2020 | 37 | |
| 14 | 2021 | 34 | |
| 15 | 2016 | 34 | |
| 16 | 2019 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 2023 | 27 | |
| 19 | 2017 | 25 | |
| 20 | 2017 | 25 |
About Daniel Kazdal
Daniel Kazdal is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Spectroscopy, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (35 papers), Cancer Genomics and Diagnostics (34 papers), Lung Cancer Research Studies (13 papers), Cancer Immunotherapy and Biomarkers (11 papers), Molecular Biology Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (6 papers), DNA Repair Mechanisms (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (413 citations), Oncology (658 citations), Pulmonary and Respiratory Medicine (512 citations), Spectroscopy (225 citations) and Health Informatics (17 citations). Daniel Kazdal has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Albrecht Stenzinger, Rémi Longuespée, Peter Schirmacher, Mark Kriegsmann, Petros Christopoulos, Volker Endris, Jan Budczies, Arne Warth, Torsten Müller and Jeroen Krijgsveld. Their work appears in journals such as PROTEOMICS - CLINICAL APPLICATIONS, Lung Cancer, Genes Chromosomes and Cancer, Frontiers in Oncology 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.