Daniel Woods

836 total citations
9 papers, 663 citations indexed

About

Daniel Woods is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Daniel Woods has authored 9 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Daniel Woods's work include Hippo pathway signaling and YAP/TAZ (3 papers), Neurobiology and Insect Physiology Research (3 papers) and RNA and protein synthesis mechanisms (2 papers). Daniel Woods is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), Neurobiology and Insect Physiology Research (3 papers) and RNA and protein synthesis mechanisms (2 papers). Daniel Woods collaborates with scholars based in United States, United Kingdom and Germany. Daniel Woods's co-authors include Colleen D. Hough, Michael Gorczyca, Vivian Budnik, Beate Hartmann, Youngho Koh, Marika F. Walter, Spiros D. Dimitratos, Harald Biessmann, Peter J. Bryant and Cahir J. O’Kane and has published in prestigious journals such as Neuron, Journal of Neuroscience and Current Biology.

In The Last Decade

Daniel Woods

8 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Woods United States	5	396	389	307	72	63	9	663
R Steven Stowers United States	13	512 1.3×	433 1.1×	244 0.8×	40 0.6×	76 1.2×	25	796
Scott L. Portman United States	8	425 1.1×	338 0.9×	227 0.7×	94 1.3×	25 0.4×	12	697
Satoko Hakeda‐Suzuki Japan	11	434 1.1×	376 1.0×	252 0.8×	21 0.3×	54 0.9×	25	677
Karin Lüer Germany	11	349 0.9×	357 0.9×	111 0.4×	39 0.5×	106 1.7×	12	548
Jose-Maria Urbano United Kingdom	6	356 0.9×	148 0.4×	158 0.5×	80 1.1×	92 1.5×	7	623
Robert A. Carrillo United States	10	393 1.0×	487 1.3×	217 0.7×	21 0.3×	89 1.4×	25	718
Wenke Zhou China	8	406 1.0×	131 0.3×	280 0.9×	59 0.8×	63 1.0×	14	607
Martine Berthelot‐Grosjean France	12	517 1.3×	197 0.5×	409 1.3×	47 0.7×	18 0.3×	15	731
Fumiko Kawasaki United States	16	579 1.5×	626 1.6×	488 1.6×	27 0.4×	33 0.5×	24	893
L. Sian Gramates United States	11	604 1.5×	304 0.8×	196 0.6×	131 1.8×	91 1.4×	13	966

Countries citing papers authored by Daniel Woods

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Woods

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Woods. 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 Daniel Woods. The network helps show where Daniel Woods may publish in the future.

Co-authorship network of co-authors of Daniel Woods

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

All Works

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9 of 9 papers shown

Stockdale, Lisa, David Bellamy, Daniel Woods, et al.. (2025). Validation of a multiplexed immunoassay for immunological analysis of pre erythrocytic malaria vaccines. npj Vaccines. 10(1). 14–14. 1 indexed citations

Wroblewski, Danielle, Lisa M. Thompson, Deborah J. Baker, et al.. (2024). Shiga Toxin–Producing Escherichia coli Testing in New York 2011–2022 Reveals Increase in Non-O157 Identifications. Foodborne Pathogens and Disease. 22(4). 273–280.

Woods, Daniel, et al.. (2021). Construction and Quantitation of a Selectable Protein Splicing Sensor Using Gibson Assembly and Spot Titers. Current Protocols. 1(3). e82–e82. 2 indexed citations

Woods, Daniel, Sweta Vangaveti, Zhong Li, et al.. (2020). Conditional DnaB Protein Splicing Is Reversibly Inhibited by Zinc in Mycobacteria. mBio. 11(4). 16 indexed citations

Patt, Joseph M., William G. Meikle, Randall P. Niedz, & Daniel Woods. (2018). Synthetic Ligands of Olfactory Binding Proteins Modulate Aggregation Response of Asian Citrus Psyllid in the Presence of Host-Plant Volatiles. Frontiers in Plant Science. 9. 1891–1891. 3 indexed citations

Biessmann, Harald, Marika F. Walter, Spiros D. Dimitratos, & Daniel Woods. (2002). Isolation of cDNA clones encoding putative odourant binding proteins from the antennae of the malaria‐transmitting mosquito, Anopheles gambiae. Insect Molecular Biology. 11(2). 123–132. 86 indexed citations

Parmentier, Marie‐Laure, et al.. (2000). Rapsynoid/Partner of Inscuteable Controls Asymmetric Division of Larval Neuroblasts inDrosophila. Journal of Neuroscience. 20(14). RC84–RC84. 133 indexed citations

Thomas, Ulrich, Michael Gorczyca, Young Ho Koh, et al.. (2000). Synaptic targeting and localization of Discs-large is a stepwise process controlled by different domains of the protein. Current Biology. 10(18). 1108–1117. 80 indexed citations

Budnik, Vivian, Youngho Koh, Beate Hartmann, et al.. (1996). Regulation of Synapse Structure and Function by the Drosophila Tumor Suppressor Gene dlg. Neuron. 17(4). 627–640. 342 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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