John P. Schell
Impact in
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
- Renal and related cancers
- Epigenetics and DNA Methylation
- RNA modifications and cancer
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- MicroRNA in disease regulation
Papers in ⓘ
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- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 2
- Renal and related cancers 2
- Advanced biosensing and bioanalysis techniques 1
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- MicroRNA in disease regulation 1
- Co-authors
- Fredrik Lanner (10 shared papers)Sophie Petropoulos (7 shared papers)Rickard Sandberg (3 shared papers)Omid R. Faridani (1 shared paper)Michael Hagemann-Jensen (1 shared paper)Ilgar Abdullayev (1 shared paper)Janet Rossant (3 shared papers)Eszter Pósfai (2 shared papers)
- Journals
- Nature Cell Biology (2 papers)Nature Methods (1 paper)Nature Communications (1 paper)Genome Research (1 paper)eLife (1 paper)
- Partner nations
- SwedenCanadaUnited States
In The Last Decade
John P. Schell
11 papers receiving 749 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 708
- Cancer Research 140
- Aging 13
- Biophysics 21
- Genetics 100
Countries citing papers authored by John P. Schell
This map shows the geographic impact of John P. Schell'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 John P. Schell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Schell more than expected).
Fields of papers citing papers by John P. Schell
This network shows the impact of papers produced by John P. Schell. 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 John P. Schell. The network helps show where John P. Schell may publish in the future.
Co-authors
The 25 scholars most cited alongside John P. Schell, 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 | 2016 | 154 | |
| 2 | 2021 | 132 | |
| 3 | 2017 | 127 | |
| 4 | 2017 | 122 | |
| 5 | 2016 | 76 | |
| 6 | 2019 | 40 | |
| 7 | 2022 | 36 | |
| 8 | 2024 | 33 | |
| 9 | 2014 | 24 | |
| 10 | 2016 | 9 | |
| 11 | 2019 | 2 |
About John P. Schell
John P. Schell is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Genetics, having authored 11 papers that have together received 755 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (3 papers), Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Molecular Biology (708 citations), Cancer Research (140 citations), Aging (13 citations), Biophysics (21 citations) and Genetics (100 citations). John P. Schell has collaborated with scholars based in Sweden, Canada and United States. Frequent co-authors include Fredrik Lanner, Sophie Petropoulos, Rickard Sandberg, Omid R. Faridani, Michael Hagemann-Jensen, Ilgar Abdullayev, Janet Rossant, Eszter Pósfai, Flávia Regina Oliveira de Barros and Igor Jurišica. Their work appears in journals such as Nature Cell Biology, Nature Methods, Nature Communications, Genome Research and eLife.
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.