Daniel Schmolze
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Cell Image Analysis Techniques
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
- Oncology 23
- Cancer Immunotherapy and Biomarkers 12
- Cancer Cells and Metastasis 4
- Cancer Diagnosis and Treatment 4
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- Breast Cancer Treatment Studies 6
- Cancer Genomics and Diagnostics 4
- Co-authors
- James L. Connolly (2 shared papers)James G. Fujimoto (2 shared papers)Peter P. Lee (9 shared papers)John H. Yim (4 shared papers)Helen H. Wang (1 shared paper)Alex Cable (1 shared paper)Dejun Shen (1 shared paper)Yuri Sheikine (1 shared paper)
- Journals
- Cancer Research (4 papers)Journal of Clinical Oncology (3 papers)Clinical Cancer Research (2 papers)Scientific Reports (2 papers)BMC Cancer (2 papers)
- Partner nations
- United StatesEthiopiaTaiwan
In The Last Decade
Daniel Schmolze
37 papers receiving 784 citations
Peers
Comparison fields: 5 of 84
- Biophysics 198
- Oncology 254
- Cancer Research 136
- Immunology 160
- Analytical Chemistry 50
Countries citing papers authored by Daniel Schmolze
This map shows the geographic impact of Daniel Schmolze'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 Schmolze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schmolze more than expected).
Fields of papers citing papers by Daniel Schmolze
This network shows the impact of papers produced by Daniel Schmolze. 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 Schmolze. The network helps show where Daniel Schmolze may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schmolze, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 156 | |
| 2 | 2019 | 125 | |
| 3 | 2019 | 72 | |
| 4 | 2015 | 45 | |
| 5 | 2013 | 42 | |
| 6 | 2016 | 36 | |
| 7 | 2018 | 32 | |
| 8 | 2018 | 32 | |
| 9 | 2019 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2022 | 25 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2021 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2019 | 8 | |
| 20 | 2023 | 7 |
About Daniel Schmolze
Daniel Schmolze is a scholar working on Oncology, Cancer Research, Biophysics, Obstetrics and Gynecology and Immunology, having authored 41 papers that have together received 791 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Breast Cancer Treatment Studies (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (4 papers), AI in cancer detection (4 papers), Cancer Diagnosis and Treatment (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Biophysics (198 citations), Oncology (254 citations), Cancer Research (136 citations), Immunology (160 citations) and Analytical Chemistry (50 citations). Daniel Schmolze has collaborated with scholars based in United States, Ethiopia and Taiwan. Frequent co-authors include James L. Connolly, James G. Fujimoto, Peter P. Lee, John H. Yim, Helen H. Wang, Alex Cable, Dejun Shen, Yuri Sheikine, Osman O. Ahsen and Nicole B. Johnson. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Clinical Cancer Research, Scientific Reports and BMC 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.