Daniel Spindlow
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Obstetrics and Gynecology top 10%
Papers in ⓘ
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- Cancer Genomics and Diagnostics 1
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- Pluripotent Stem Cells Research 4
- Single-cell and spatial transcriptomics 1
- CRISPR and Genetic Engineering 1
- Co-authors
- Austin Smith (4 shared papers)Jennifer Nichols (4 shared papers)Ayaka Yanagida (2 shared papers)Anish Dattani (2 shared papers)Ge Guo (2 shared papers)Giuliano Giuseppe Stirparo (3 shared papers)Masaki Kinoshita (2 shared papers)M. Barber (1 shared paper)
- Journals
- Cell stem cell (3 papers)Frontiers in Plant Science (1 paper)Bioinformatics (1 paper)Development (1 paper)
- Partner nations
- United KingdomIndiaChina
In The Last Decade
Daniel Spindlow
6 papers receiving 641 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Molecular Biology 583
- Obstetrics and Gynecology 45
- Public Health, Environmental and Occupational Health 97
- Pediatrics, Perinatology and Child Health 62
- Genetics 58
Countries citing papers authored by Daniel Spindlow
This map shows the geographic impact of Daniel Spindlow'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 Spindlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Spindlow more than expected).
Fields of papers citing papers by Daniel Spindlow
This network shows the impact of papers produced by Daniel Spindlow. 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 Spindlow. The network helps show where Daniel Spindlow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Spindlow, 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 | Human naive epiblast cells possess unrestricted lineage potential Hit paper breakdown → | 2021 | 222 |
| 2 | 2021 | 195 | |
| 3 | 2020 | 170 | |
| 4 | 2021 | 47 | |
| 5 | 2021 | 8 | |
| 6 | 2024 | 4 |
About Daniel Spindlow
Daniel Spindlow is a scholar working on Cancer Research, Molecular Biology, Plant Science, Surgery and Physiology, having authored 6 papers that have together received 646 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Phytoplasmas and Hemiptera pathogens (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (583 citations), Obstetrics and Gynecology (45 citations), Public Health, Environmental and Occupational Health (97 citations), Pediatrics, Perinatology and Child Health (62 citations) and Genetics (58 citations). Daniel Spindlow has collaborated with scholars based in United Kingdom, India and China. Frequent co-authors include Austin Smith, Jennifer Nichols, Ayaka Yanagida, Anish Dattani, Ge Guo, Giuliano Giuseppe Stirparo, Masaki Kinoshita, M. Barber, W Mansfield and Sabine Dietmann. Their work appears in journals such as Cell stem cell, Frontiers in Plant Science, Bioinformatics and Development.
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.