Geoffrey Schiebinger
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Aging top 10%
Papers in
-
- Single-cell and spatial transcriptomics 13
- Gene Regulatory Network Analysis 6
-
- Cell Image Analysis Techniques 3
- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Laura Greenstreet (6 shared papers)Anton Afanassiev (7 shared papers)Benjamin Recht (2 shared papers)Nicholas Boyd (2 shared papers)Aviv Regev (2 shared papers)Aden Forrow (2 shared papers)Justin Brumbaugh (1 shared paper)Brian Cleary (1 shared paper)
- Journals
- Development (2 papers)Nature Communications (1 paper)Bioinformatics (1 paper)Genome Biology and Evolution (1 paper)Nature Reviews Methods Primers (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Geoffrey Schiebinger
21 papers receiving 997 citations
Geoffrey Schiebinger's Hit Papers
Peers
Comparison fields: 5 of 115
- Biophysics 141
- Aging 20
- Molecular Biology 679
- Plant Science 201
- Cancer Research 67
Countries citing papers authored by Geoffrey Schiebinger
This map shows the geographic impact of Geoffrey Schiebinger'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 Geoffrey Schiebinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Schiebinger more than expected).
Fields of papers citing papers by Geoffrey Schiebinger
This network shows the impact of papers produced by Geoffrey Schiebinger. 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 Geoffrey Schiebinger. The network helps show where Geoffrey Schiebinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Geoffrey Schiebinger, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming Hit paper breakdown → | 2019 | 409 |
| 2 | A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants Hit paper breakdown → | 2022 | 189 |
| 3 | Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root Hit paper breakdown → | 2023 | 86 |
| 4 | 2017 | 72 | |
| 5 | 2021 | 46 | |
| 6 | 2007 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2015 | 20 | |
| 9 | Sharp Inequalities for f-divergences | 2013 | 16 |
| 10 | 2021 | 15 | |
| 11 | 2015 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 5 | |
| 18 | Statistical optimal transport via factored couplings | 2019 | 3 |
| 19 | 2024 | 3 | |
| 20 | 2024 | 1 |
About Geoffrey Schiebinger
Geoffrey Schiebinger is a scholar working on Molecular Biology, Biophysics, Cancer Research, Computational Mechanics and Biomedical Engineering, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Gene Regulatory Network Analysis (6 papers), Cancer Genomics and Diagnostics (4 papers), Cell Image Analysis Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Plant Molecular Biology Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Biophysics (141 citations), Aging (20 citations), Molecular Biology (679 citations), Plant Science (201 citations) and Cancer Research (67 citations). Geoffrey Schiebinger has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Laura Greenstreet, Anton Afanassiev, Benjamin Recht, Nicholas Boyd, Aviv Regev, Aden Forrow, Justin Brumbaugh, Brian Cleary, Eric S. Lander and Jenny Chen. Their work appears in journals such as Development, Nature Communications, Bioinformatics, Genome Biology and Evolution and Nature Reviews Methods Primers.
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.