Daniel A. Schmitz
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Single-cell and spatial transcriptomics
Papers in
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- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 4
- Single-cell and spatial transcriptomics 2
- Renal and related cancers 2
- RNA and protein synthesis mechanisms 1
- Mitochondrial Function and Pathology 1
- Oncology 1
- Co-authors
- Jun Wu (7 shared papers)Yulei Wei (4 shared papers)Leqian Yu (4 shared papers)Masahiro Sakurai (5 shared papers)Lei Wang (1 shared paper)Jialei Duan (1 shared paper)Gary C. Hon (1 shared paper)Kunhua Wang (1 shared paper)
- Journals
- Cell Reports (2 papers)Nature (2 papers)Cell stem cell (1 paper)Stem Cell Reports (1 paper)Cell (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel A. Schmitz
7 papers receiving 545 citations
Daniel A. Schmitz's Hit Papers
Peers
Comparison fields: 5 of 45
- Molecular Biology 461
- Obstetrics and Gynecology 26
- Public Health, Environmental and Occupational Health 87
- Reproductive Medicine 25
- Genetics 56
Countries citing papers authored by Daniel A. Schmitz
This map shows the geographic impact of Daniel A. Schmitz'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 A. Schmitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Schmitz more than expected).
Fields of papers citing papers by Daniel A. Schmitz
This network shows the impact of papers produced by Daniel A. Schmitz. 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 A. Schmitz. The network helps show where Daniel A. Schmitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Schmitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Blastocyst-like structures generated from human pluripotent stem cells Hit paper breakdown → | 2021 | 336 |
| 2 | 2020 | 136 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 22 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2025 | 0 |
About Daniel A. Schmitz
Daniel A. Schmitz is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Infectious Diseases, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers), RNA and protein synthesis mechanisms (1 paper), Animal Genetics and Reproduction (1 paper), Autophagy in Disease and Therapy (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Molecular Biology (461 citations), Obstetrics and Gynecology (26 citations), Public Health, Environmental and Occupational Health (87 citations), Reproductive Medicine (25 citations) and Genetics (56 citations). Daniel A. Schmitz has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jun Wu, Yulei Wei, Leqian Yu, Masahiro Sakurai, Lei Wang, Jialei Duan, Gary C. Hon, Kunhua Wang, Shuhua Zhao and Daiji Okamura. Their work appears in journals such as Cell Reports, Nature, Cell stem cell, Stem Cell Reports and Cell.
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.