Jeffrey A. Farrell

9.8k total citations · 3 hit papers
18 papers, 4.9k citations indexed

About

Jeffrey A. Farrell is a scholar working on Molecular Biology, Cell Biology and Paleontology. According to data from OpenAlex, Jeffrey A. Farrell has authored 18 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cell Biology and 2 papers in Paleontology. Recurrent topics in Jeffrey A. Farrell's work include Zebrafish Biomedical Research Applications (7 papers), Single-cell and spatial transcriptomics (6 papers) and Genomics and Chromatin Dynamics (4 papers). Jeffrey A. Farrell is often cited by papers focused on Zebrafish Biomedical Research Applications (7 papers), Single-cell and spatial transcriptomics (6 papers) and Genomics and Chromatin Dynamics (4 papers). Jeffrey A. Farrell collaborates with scholars based in United States, Switzerland and Germany. Jeffrey A. Farrell's co-authors include Alexander F. Schier, Aviv Regev, Rahul Satija, David Gennert, Patrick H. O’Farrell, Samantha J. Riesenfeld, Karthik Shekhar, Christine E. Schnitzler, Stefan Siebert and Jack F. Cazet and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Jeffrey A. Farrell

15 papers receiving 4.9k 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.

Spatial reconstruction of single-cell gene expression data

2015 3.7k citations Rahul Satija, Jeffrey A. Farrell et al. Nature Biotechnology profile →
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis

2018 501 citations Jeffrey A. Farrell, Samantha J. Riesenfeld et al. Science profile →
Stem cell differentiation trajectories in Hydra resolved at single-cell resolution

2019 214 citations Stefan Siebert, Jeffrey A. Farrell et al. Science profile →

Peers

Countries citing papers authored by Jeffrey A. Farrell

Since Specialization

Citations

This map shows the geographic impact of Jeffrey A. Farrell'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 Jeffrey A. Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Farrell more than expected).

Fields of papers citing papers by Jeffrey A. Farrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Farrell. 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 Jeffrey A. Farrell. The network helps show where Jeffrey A. Farrell may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Farrell

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	A molecular, spatial and regulatory atlas of the Hydra vulgaris nervous system 2025 ·Development ·(unknown), Abby S. Primack, (unknown), (unknown), (unknown), Ben D. Cox, (unknown), (unknown), (unknown), Jack F. Cazet, Charles N. David, Jeffrey A. Farrell, Celina E. Juliano	0
2	prdm1a drives a fate switch between hair cells of different mechanosensory organs 2025 ·Nature Communications ·Jeremy E. Sandler, (unknown), Shiyuan Chen, (unknown), Mark E. Lush, Abhinav Sur, E. Ellis, (unknown), Malcolm Cook, Allison Scott, (unknown), Jeffrey A. Farrell, Tatjana Piotrowski	0
3	DaniocellDesktop: for Interactive Reanalysis of Wild-Type Zebrafish Single-Cell Genomic Data 2025 ·Zebrafish ·Alicia Evans, Jeffrey A. Farrell	0
4	Germ cell progression through zebrafish spermatogenesis declines with age 2024 ·Development ·(unknown), (unknown), (unknown), (unknown), (unknown), Jeffrey A. Farrell, James A. Gagnon	5
5	Cell-type-specific mRNA transcription and degradation kinetics in zebrafish embryogenesis from metabolically labeled single-cell RNA-seq 2024 ·Nature Communications ·(unknown), (unknown), (unknown), (unknown), Florian Erhard, Aviv Regev, Jeffrey A. Farrell, Michal Rabani	10
6	Gene module reconstruction identifies cellular differentiation processes and the regulatory logic of specialized secretion in zebrafish 2024 ·Developmental Cell ·(unknown), Jialin Liu, (unknown), (unknown), Jeffrey A. Farrell, Alexander F. Schier	1
7	Single-cell analysis of shared signatures and transcriptional diversity during zebrafish development 2023 ·Developmental Cell ·Abhinav Sur, (unknown), (unknown), Gennady Margolin, (unknown), Jeffrey A. Farrell	68
8	Emergence of Neuronal Diversity during Vertebrate Brain Development 2020 ·Neuron ·Bushra Raj, Jeffrey A. Farrell, Jialin Liu, (unknown), (unknown), Joaquín Navajas Acedo, (unknown), Aaron McKenna, (unknown), (unknown), Alexander F. Schier	65
9	Stem cell differentiation trajectories in Hydra resolved at single-cell resolution breakdown → 2019 ·Science ·Stefan Siebert, Jeffrey A. Farrell, Jack F. Cazet, (unknown), Abby S. Primack, Christine E. Schnitzler, Celina E. Juliano	214
10	Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis breakdown → 2018 ·Science ·Jeffrey A. Farrell, (unknown), Samantha J. Riesenfeld, Karthik Shekhar, Aviv Regev, Alexander F. Schier	501
11	Spatial reconstruction of single-cell gene expression data breakdown → 2015 ·Nature Biotechnology ·Rahul Satija, Jeffrey A. Farrell, David Gennert, Alexander F. Schier, Aviv Regev	3680
12	Response to Nodal morphogen gradient is determined by the kinetics of target gene induction 2015 ·eLife ·Julien Dubrulle, Benjamin M Jordan, Laila Akhmetova, Jeffrey A. Farrell, Seok-Hyung Kim, Lilianna Solnica‐Krezel, Alexander F. Schier	80
13	From Egg to Gastrula: How the Cell Cycle Is Remodeled During theDrosophilaMid-Blastula Transition 2014 ·Annual Review of Genetics ·Jeffrey A. Farrell, Patrick H. O’Farrell	130
14	Mechanism and Regulation of Cdc25/Twine Protein Destruction in Embryonic Cell-Cycle Remodeling 2013 ·Current Biology ·Jeffrey A. Farrell, Patrick H. O’Farrell	54
15	Embryonic onset of late replication requires Cdc25 down-regulation 2012 ·Genes & Development ·Jeffrey A. Farrell, Antony W. Shermoen, Kai Yuan, Patrick H. O’Farrell	53
16	Different cyclin types collaborate to reverse the S-phase checkpoint and permit prompt mitosis 2012 ·The Journal of Cell Biology ·Kai Yuan, Jeffrey A. Farrell, Patrick H. O’Farrell	11
17	Enterostatin alters protein trafficking to inhibit insulin secretion in Beta-TC6 cells 2009 ·Peptides ·MieJung Park, Jeffrey A. Farrell, (unknown), David A. York	8
18	Influence of cyclin type and dose on mitotic entry and progression in the early Drosophila embryo 2009 ·The Journal of Cell Biology ·Mark L. McCleland, Jeffrey A. Farrell, Patrick H. O’Farrell	35

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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