Geoffrey Schiebinger

2.4k total citations · 3 hit papers
22 papers, 1.0k citations indexed

About

Geoffrey Schiebinger is a scholar working on Molecular Biology, Biophysics and Cancer Research. According to data from OpenAlex, Geoffrey Schiebinger has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Biophysics and 4 papers in Cancer Research. Recurrent topics in Geoffrey Schiebinger's work include Single-cell and spatial transcriptomics (13 papers), Gene Regulatory Network Analysis (6 papers) and Cancer Genomics and Diagnostics (4 papers). Geoffrey Schiebinger is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Gene Regulatory Network Analysis (6 papers) and Cancer Genomics and Diagnostics (4 papers). Geoffrey Schiebinger collaborates with scholars based in Canada, United States and Germany. Geoffrey Schiebinger's co-authors include Anton Afanassiev, Laura Greenstreet, Nicholas Boyd, Benjamin Recht, Aviv Regev, Aden Forrow, Philippe Rigollet, Peter Berube, Eric S. Lander and Brian Cleary and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Geoffrey Schiebinger

21 papers receiving 997 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming

2019 409 citations Geoffrey Schiebinger, Jian Shu et al. Cell profile →
A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants

2022 189 citations Rachel Shahan, Che‐Wei Hsu et al. Developmental Cell profile →
Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root

2023 86 citations Trevor M. Nolan, Nemanja Vukašinović et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geoffrey Schiebinger Canada	12	679	201	141	70	67	22	1.0k
Brian Cleary United States	11	973 1.4×	52 0.3×	117 0.8×	50 0.7×	112 1.7×	17	1.2k
Tanel Pärnamaa Estonia	5	599 0.9×	42 0.2×	173 1.2×	89 1.3×	61 0.9×	8	1.2k
Anwei Chai United States	5	957 1.4×	75 0.4×	29 0.2×	176 2.5×	70 1.0×	7	1.4k
Christoph Zechner Germany	15	1.2k 1.8×	103 0.5×	126 0.9×	141 2.0×	56 0.8×	41	1.4k
Élisabeth Rémy France	20	1.2k 1.7×	105 0.5×	51 0.4×	46 0.7×	87 1.3×	55	1.6k
Minping Qian China	18	571 0.8×	78 0.4×	27 0.2×	40 0.6×	64 1.0×	77	1.1k
Jacob Schreiber United States	12	1.0k 1.5×	77 0.4×	25 0.2×	228 3.3×	78 1.2×	22	1.2k
M. Julius Hossain Germany	16	1.3k 1.8×	308 1.5×	141 1.0×	29 0.4×	31 0.5×	32	1.5k
Paolo Emilio Barbano United States	9	418 0.6×	56 0.3×	37 0.3×	33 0.5×	27 0.4×	16	720
Shikhar Uttam United States	13	279 0.4×	21 0.1×	142 1.0×	163 2.3×	29 0.4×	32	697

Countries citing papers authored by Geoffrey Schiebinger

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Geoffrey Schiebinger

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Schiebinger. A scholar is included among the top collaborators of Geoffrey Schiebinger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey Schiebinger. Geoffrey Schiebinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Schiebinger, Geoffrey, et al.. (2024). Cellular proliferation biases clonal lineage tracing and trajectory inference. Bioinformatics. 40(8).

Bunne, Charlotte, Geoffrey Schiebinger, Andreas Krause, Aviv Regev, & Marco Cuturi. (2024). Optimal transport for single-cell and spatial omics. Nature Reviews Methods Primers. 4(1). 12 indexed citations

Zhang, Yun, Shubham Tripathi, Mohit Kumar Jolly, et al.. (2024). Reconstruction of single-cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition. Proceedings of the National Academy of Sciences. 121(32). e2406842121–e2406842121. 9 indexed citations

Ma, Yuxuan, et al.. (2024). Spatial Transcriptomics Brings New Challenges and Opportunities for Trajectory Inference. PubMed. 8(1). 1–19. 3 indexed citations

Berrío, Alejandro, Anton Afanassiev, Laura Greenstreet, et al.. (2024). Single-Cell Transcriptomics Reveals Evolutionary Reconfiguration of Embryonic Cell Fate Specification in the Sea Urchin Heliocidaris erythrogramma. Genome Biology and Evolution. 17(1). 1 indexed citations

Berrío, Alejandro, Esther Miranda, Anton Afanassiev, et al.. (2024). Reprogramming of cells during embryonic transfating: overcoming a reprogramming block. Development. 151(24). 1 indexed citations

Greenstreet, Laura, Anton Afanassiev, Soh Ishiguro, et al.. (2023). DNA-GPS: A theoretical framework for optics-free spatial genomics and synthesis of current methods. Cell Systems. 14(10). 844–859.e4. 6 indexed citations

Nolan, Trevor M., Nemanja Vukašinović, Che‐Wei Hsu, et al.. (2023). Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root. Science. 379(6639). eadf4721–eadf4721. 86 indexed citations breakdown →

Shahan, Rachel, Che‐Wei Hsu, Trevor M. Nolan, et al.. (2022). A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants. Developmental Cell. 57(4). 543–560.e9. 189 indexed citations breakdown →

10.

Greenstreet, Laura, Anton Afanassiev, Alejandro Berrío, et al.. (2021). Developmental single-cell transcriptomics in the Lytechinus variegatus sea urchin embryo. Development. 148(19). 41 indexed citations

11.

Afanassiev, Anton, et al.. (2021). Optimal transport analysis reveals trajectories in steady-state systems. PLoS Computational Biology. 17(12). e1009466–e1009466. 15 indexed citations

12.

Forrow, Aden & Geoffrey Schiebinger. (2021). LineageOT is a unified framework for lineage tracing and trajectory inference. Nature Communications. 12(1). 4940–4940. 46 indexed citations

13.

Schiebinger, Geoffrey. (2021). Reconstructing developmental landscapes and trajectories from single-cell data. Current Opinion in Systems Biology. 27. 100351–100351. 10 indexed citations

14.

Schiebinger, Geoffrey, et al.. (2020). Methodologies for Following EMT In Vivo at Single Cell Resolution. Methods in molecular biology. 2179. 303–314. 5 indexed citations

15.

Forrow, Aden, et al.. (2019). Statistical optimal transport via factored couplings. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

16.

Schiebinger, Geoffrey, Jian Shu, Marcin Tabaka, et al.. (2019). Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming. Cell. 176(4). 928–943.e22. 409 indexed citations breakdown →

17.

Boyd, Nicholas, Geoffrey Schiebinger, & Benjamin Recht. (2015). The alternating descent conditional gradient method for sparse inverse problems. 57–60. 13 indexed citations

18.

Schiebinger, Geoffrey, Martin J. Wainwright, & Bin Yu. (2015). The geometry of kernelized spectral clustering. The Annals of Statistics. 43(2). 20 indexed citations

19.

Schiebinger, Geoffrey, et al.. (2013). Sharp Inequalities for f-divergences. 16 indexed citations

20.

Warren, Luigi, Derrick J. Rossi, Geoffrey Schiebinger, et al.. (2007). Transcriptional instability is not a universal attribute of aging. Aging Cell. 6(6). 775–782. 42 indexed citations

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.

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