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
-
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 5
- Renal and related cancers 3
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 2
- Surgery 3
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Fredrik Lanner (10 shared papers)Sophie Petropoulos (7 shared papers)Rickard Sandberg (3 shared papers)Michael Hagemann-Jensen (1 shared paper)Ilgar Abdullayev (1 shared paper)Omid R. Faridani (1 shared paper)Janet Rossant (3 shared papers)Eszter Pósfai (2 shared papers)
- Journals
- Nature Cell Biology (2 papers)Cell stem cell (1 paper)Nature Methods (1 paper)Nature Biotechnology (1 paper)Genome Research (1 paper)
- Partner nations
- SwedenCanadaUnited States
In The Last Decade
John P. Schell
15 papers receiving 805 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 734
- Cancer Research 141
- Aging 10
- Genetics 103
- Biophysics 18
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 | 167 | |
| 2 | 2021 | 136 | |
| 3 | 2017 | 131 | |
| 4 | 2017 | 127 | |
| 5 | 2016 | 79 | |
| 6 | 2024 | 40 | |
| 7 | 2019 | 40 | |
| 8 | 2022 | 38 | |
| 9 | 2014 | 29 | |
| 10 | 2016 | 11 | |
| 11 | 2012 | 4 | |
| 12 | 2012 | 3 | |
| 13 | 2012 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2012 | 1 | |
| 16 | 2012 | 0 |
About John P. Schell
John P. Schell is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Genetics and Pollution, having authored 16 papers that have together received 811 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (5 papers), Renal and related cancers (3 papers), Genomics and Chromatin Dynamics (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Single-cell and spatial transcriptomics (2 papers), Reproductive Biology and Fertility (1 paper) and Microbial bioremediation and biosurfactants (1 paper). The work is most often cited by research in Molecular Biology (734 citations), Cancer Research (141 citations), Aging (10 citations), Genetics (103 citations) and Biophysics (18 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, Michael Hagemann-Jensen, Ilgar Abdullayev, Omid R. Faridani, Janet Rossant, Eszter Pósfai, Igor Jurišica and Flávia Regina Oliveira de Barros. Their work appears in journals such as Nature Cell Biology, Cell stem cell, Nature Methods, Nature Biotechnology and Genome Research.
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.