Daniel J. Smit
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
- Bone health and treatments
- Cancer Immunotherapy and Biomarkers
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 9
- Single-cell and spatial transcriptomics 2
- Oncology 17
- Cancer Cells and Metastasis 10
- Bone health and treatments 5
- Co-authors
- Manfred Jücker (15 shared papers)Lingyu Tian (2 shared papers)Klaus Pantel (20 shared papers)Marie‐Therese Haider (7 shared papers)Hanna Taipaleenmäki (5 shared papers)P. Knapstein (1 shared paper)Nico Hinz (2 shared papers)Shan Jiang (1 shared paper)
In The Last Decade
Daniel J. Smit
39 papers receiving 688 citations
Daniel J. Smit's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 157
- Oncology 278
- Immunology 82
- Molecular Biology 267
- Orthopedics and Sports Medicine 19
Countries citing papers authored by Daniel J. Smit
This map shows the geographic impact of Daniel J. Smit'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 J. Smit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Smit more than expected).
Fields of papers citing papers by Daniel J. Smit
This network shows the impact of papers produced by Daniel J. Smit. 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 J. Smit. The network helps show where Daniel J. Smit may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Smit, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Role of PI3K/AKT/mTOR Signaling in Hepatocellular Carcinoma Metabolism Hit paper breakdown → | 2023 | 174 |
| 2 | 2020 | 60 | |
| 3 | 2022 | 59 | |
| 4 | 2022 | 45 | |
| 5 | 2020 | 39 | |
| 6 | 2024 | 37 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2024 | 27 | |
| 10 | 2021 | 26 | |
| 11 | 2020 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2024 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 7 |
About Daniel J. Smit
Daniel J. Smit is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 43 papers that have together received 698 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Cancer Cells and Metastasis (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Bone health and treatments (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Renal cell carcinoma treatment (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (157 citations), Oncology (278 citations), Immunology (82 citations), Molecular Biology (267 citations) and Orthopedics and Sports Medicine (19 citations). Daniel J. Smit has collaborated with scholars based in Germany, China and France. Frequent co-authors include Manfred Jücker, Lingyu Tian, Klaus Pantel, Marie‐Therese Haider, Hanna Taipaleenmäki, P. Knapstein, Nico Hinz, Shan Jiang, Johannes Keller and Laure Cayrefourcq. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Journal of Experimental & Clinical Cancer Research, Cells and Journal for ImmunoTherapy 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.