Bailey A. T. Weatherbee

982 total citations · 1 hit paper
14 papers, 623 citations indexed

About

Bailey A. T. Weatherbee is a scholar working on Molecular Biology, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bailey A. T. Weatherbee has authored 14 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bailey A. T. Weatherbee's work include Pluripotent Stem Cells Research (6 papers), Connexins and lens biology (5 papers) and CRISPR and Genetic Engineering (2 papers). Bailey A. T. Weatherbee is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Connexins and lens biology (5 papers) and CRISPR and Genetic Engineering (2 papers). Bailey A. T. Weatherbee collaborates with scholars based in United States, United Kingdom and France. Bailey A. T. Weatherbee's co-authors include Magdalena Zernicka‐Goetz, David M. Glover, Carlos W. Gantner, Berna Sözen, Victoria Jorgensen, Meng Zhu, Sisi Chen, Riza M. Daza, Nobuhiko Hamazaki and Jay Shendure and has published in prestigious journals such as Nature, Nature Communications and The FASEB Journal.

In The Last Decade

Bailey A. T. Weatherbee

13 papers receiving 610 citations

Hit Papers

align trajectories sort by overperformance

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.

Pluripotent stem cell-derived model of the post-implantation human embryo

2023 134 citations Bailey A. T. Weatherbee, Carlos W. Gantner et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bailey A. T. Weatherbee United States	10	452	127	91	76	66	14	623
Alexandre Bruneau France	3	372 0.8×	127 1.0×	66 0.7×	58 0.8×	45 0.7×	3	480
Sophie Loubersac France	5	376 0.8×	150 1.2×	78 0.9×	59 0.8×	45 0.7×	12	506
Harunobu Kagawa Austria	9	392 0.9×	85 0.7×	53 0.6×	49 0.6×	50 0.8×	12	495
Leila Christie United Kingdom	8	634 1.4×	139 1.1×	87 1.0×	58 0.8×	54 0.8×	12	714
Daniel Spindlow United Kingdom	5	583 1.3×	97 0.8×	62 0.7×	45 0.6×	61 0.9×	6	646
Alok Javali India	5	304 0.7×	76 0.6×	43 0.5×	40 0.5×	44 0.7×	8	392
Laila Noli United Kingdom	9	442 1.0×	191 1.5×	84 0.9×	37 0.5×	43 0.7×	12	617
Daniel A. Schmitz United States	4	438 1.0×	88 0.7×	36 0.4×	28 0.4×	65 1.0×	7	508
Sissy E. Wamaitha United States	11	909 2.0×	197 1.6×	82 0.9×	44 0.6×	63 1.0×	14	1.0k
Yixin Ren China	10	520 1.2×	131 1.0×	132 1.5×	50 0.7×	18 0.3×	15	647

Countries citing papers authored by Bailey A. T. Weatherbee

Since Specialization

Citations

This map shows the geographic impact of Bailey A. T. Weatherbee'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 Bailey A. T. Weatherbee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailey A. T. Weatherbee more than expected).

Fields of papers citing papers by Bailey A. T. Weatherbee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bailey A. T. Weatherbee. 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 Bailey A. T. Weatherbee. The network helps show where Bailey A. T. Weatherbee may publish in the future.

Co-authorship network of co-authors of Bailey A. T. Weatherbee

This figure shows the co-authorship network connecting the top 25 collaborators of Bailey A. T. Weatherbee. A scholar is included among the top collaborators of Bailey A. T. Weatherbee 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 Bailey A. T. Weatherbee. Bailey A. T. Weatherbee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Chen, Dong-Yuan, Shiny Titus, Wenqi Hu, et al.. (2025). Basement membrane perforations guide anterior–posterior axis formation. Nature Communications. 16(1). 6763–6763.

Gantner, Carlos W., Bailey A. T. Weatherbee, Yuntao Wang, & Magdalena Zernicka‐Goetz. (2024). Assembly of a stem cell-derived human postimplantation embryo model. Nature Protocols. 20(1). 67–91. 1 indexed citations

Anand, Deepti, et al.. (2023). High-Throughput Transcriptomics of Celf1 Conditional Knockout Lens Identifies Downstream Networks Linked to Cataract Pathology. Cells. 12(7). 1070–1070. 7 indexed citations

Weatherbee, Bailey A. T., Carlos W. Gantner, Lisa K. Iwamoto-Stohl, et al.. (2023). Pluripotent stem cell-derived model of the post-implantation human embryo. Nature. 622(7983). 584–593. 134 indexed citations breakdown →

Weatherbee, Bailey A. T., Charlotte E. Handford, Tim Coorens, et al.. (2021). An in vitro stem cell model of human epiblast and yolk sac interaction. eLife. 10. 35 indexed citations

Sözen, Berna, Victoria Jorgensen, Bailey A. T. Weatherbee, et al.. (2021). Reconstructing aspects of human embryogenesis with pluripotent stem cells. Nature Communications. 12(1). 5550–5550. 130 indexed citations

Molè, Matteo A., Tim Coorens, Marta N. Shahbazi, et al.. (2021). A single cell characterisation of human embryogenesis identifies pluripotency transitions and putative anterior hypoblast centre. Nature Communications. 12(1). 3679–3679. 75 indexed citations

Weatherbee, Bailey A. T., David M. Glover, & Magdalena Zernicka‐Goetz. (2020). Expression of SARS-CoV-2 receptor ACE2 and the protease TMPRSS2 suggests susceptibility of the human embryo in the first trimester. Open Biology. 10(8). 200162–200162. 68 indexed citations

Weatherbee, Bailey A. T., et al.. (2020). The cataract-linked RNA-binding protein Celf1 post-transcriptionally controls the spatiotemporal expression of the key homeodomain transcription factors Pax6 and Prox1 in lens development. Human Genetics. 139(12). 1541–1554. 16 indexed citations

10.

Shahbazi, Marta N., Tianren Wang, Xin Tao, et al.. (2020). Developmental potential of aneuploid human embryos cultured beyond implantation. Nature Communications. 11(1). 3987–3987. 91 indexed citations

11.

Weatherbee, Bailey A. T., Tongtong Cui, & Magdalena Zernicka‐Goetz. (2020). Modeling human embryo development with embryonic and extra-embryonic stem cells. Developmental Biology. 474. 91–99. 34 indexed citations

12.

Anand, Deepti, Bailey A. T. Weatherbee, Hongzhan Huang, et al.. (2019). MS/MS in silico subtraction-based proteomic profiling as an approach to facilitate disease gene discovery: application to lens development and cataract. Human Genetics. 139(2). 151–184. 15 indexed citations

13.

Weatherbee, Bailey A. T., et al.. (2019). The Cataract‐associated RNA‐Binding Protein Celf1 Post‐transcriptionally Regulates the Key Eye Transcription Factor Pax6. The FASEB Journal. 33(S1). 1 indexed citations

14.

Weatherbee, Bailey A. T., et al.. (2019). Molecular characterization of the human lens epithelium-derived cell line SRA01/04. Experimental Eye Research. 188. 107787–107787. 16 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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