W. Daniel Tracey

3.9k total citations · 1 hit paper
36 papers, 2.6k citations indexed

About

W. Daniel Tracey is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, W. Daniel Tracey has authored 36 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in W. Daniel Tracey's work include Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Insect Utilization and Effects (7 papers). W. Daniel Tracey is often cited by papers focused on Neurobiology and Insect Physiology Research (26 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Insect Utilization and Effects (7 papers). W. Daniel Tracey collaborates with scholars based in United States, Japan and Spain. W. Daniel Tracey's co-authors include Seymour Benzer, Richard Y. Hwang, Lixian Zhong, Rachel I. Wilson, Gilles Laurent, Asako Tsubouchi, Ken Honjo, Karl Deisseroth, Bader Al-Anzi and Feng Zhang and has published in prestigious journals such as Cell, Nature Genetics and Journal of Neuroscience.

In The Last Decade

W. Daniel Tracey

35 papers receiving 2.5k citations

Hit Papers

painless, a Drosophila Gene Essential for Nociception 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Daniel Tracey United States 21 1.7k 705 512 481 446 36 2.6k
Gaiti Hasan India 30 1.9k 1.1× 1.2k 1.7× 620 1.2× 483 1.0× 577 1.3× 99 3.0k
Greg S. B. Suh United States 21 1.8k 1.0× 845 1.2× 672 1.3× 829 1.7× 271 0.6× 31 3.0k
Africa Couto United Kingdom 8 1.9k 1.1× 1.4k 2.0× 453 0.9× 765 1.6× 253 0.6× 9 3.1k
Richard A. Baines United Kingdom 31 2.1k 1.3× 1.5k 2.1× 284 0.6× 478 1.0× 123 0.3× 99 3.2k
André Fiala Germany 31 2.6k 1.5× 928 1.3× 620 1.2× 1.1k 2.3× 211 0.5× 60 3.5k
Ilona C Grunwald Kadow Germany 21 1.6k 1.0× 395 0.6× 635 1.2× 656 1.4× 179 0.4× 40 2.2k
Michael N. Nitabach United States 37 2.7k 1.6× 823 1.2× 204 0.4× 635 1.3× 124 0.3× 57 4.0k
Josh Dubnau United States 25 1.8k 1.1× 1.6k 2.2× 457 0.9× 926 1.9× 122 0.3× 47 3.5k
Toshihiro Kitamoto United States 31 3.2k 1.8× 1.1k 1.5× 681 1.3× 1.3k 2.6× 182 0.4× 74 4.0k
Serge Birman France 31 2.8k 1.6× 1.1k 1.5× 777 1.5× 1.2k 2.4× 118 0.3× 67 3.8k

Countries citing papers authored by W. Daniel Tracey

Since Specialization
Citations

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

Fields of papers citing papers by W. Daniel Tracey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Daniel Tracey

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

All Works

20 of 20 papers shown
1.
Hohmann, Andrea G., et al.. (2025). Multiple mechanisms of action for an extremely painful venom. Current Biology. 35(2). 444–453.e4. 1 indexed citations
2.
Tracey, W. Daniel, et al.. (2024). Nociception inDrosophilaLarvae. Cold Spring Harbor Protocols. 2025(4). pdb.top108172–pdb.top108172.
3.
Tracey, W. Daniel, et al.. (2024). Assaying Nociception Behaviors inDrosophilaLarvae During Parasitoid Wasp Attacks. Cold Spring Harbor Protocols. 2025(4). pdb.prot108129–pdb.prot108129. 1 indexed citations
4.
Song, Wan, Susanne Ressl, & W. Daniel Tracey. (2020). Loss of Pseudouridine Synthases in the RluA Family Causes Hypersensitive Nociception in Drosophila. G3 Genes Genomes Genetics. 10(12). 4425–4438. 9 indexed citations
5.
Skanata, Mirna Mihovilovic, Ellie S. Heckscher, Michael Krieg, et al.. (2019). Direction Selectivity in Drosophila Proprioceptors Requires the Mechanosensory Channel Tmc. Current Biology. 29(6). 945–956.e3. 57 indexed citations
6.
Honjo, Ken, Tomoko Ohyama, Daryl M. Gohl, et al.. (2018). Nociceptive interneurons control modular motor pathways to promote escape behavior in Drosophila. eLife. 7. 72 indexed citations
7.
Tracey, W. Daniel. (2017). Nociception. Current Biology. 27(4). R129–R133. 85 indexed citations
8.
Honjo, Ken, et al.. (2016). Nociceptor-Enriched Genes Required for Normal Thermal Nociception. Cell Reports. 16(2). 295–303. 47 indexed citations
9.
Pagadala, Promila, Chul‐Kyu Park, Sangsu Bang, et al.. (2013). Loss of NR1 Subunit of NMDARs in Primary Sensory Neurons Leads to Hyperexcitability and Pain Hypersensitivity: Involvement of Ca2+-Activated Small Conductance Potassium Channels. Journal of Neuroscience. 33(33). 13425–13430. 62 indexed citations
10.
Robertson, Jessica, Asako Tsubouchi, & W. Daniel Tracey. (2013). Larval Defense against Attack from Parasitoid Wasps Requires Nociceptive Neurons. PLoS ONE. 8(10). e78704–e78704. 62 indexed citations
11.
Tsubouchi, Asako, Jason C. Caldwell, & W. Daniel Tracey. (2012). Dendritic Filopodia, Ripped Pocket, NOMPC, and NMDARs Contribute to the Sense of Touch in Drosophila Larvae. Current Biology. 22(22). 2124–2134. 89 indexed citations
12.
Hwang, Richard Y., Nancy A. Stearns, & W. Daniel Tracey. (2012). The Ankyrin Repeat Domain of the TRPA Protein Painless Is Important for Thermal Nociception but Not Mechanical Nociception. PLoS ONE. 7(1). e30090–e30090. 41 indexed citations
13.
Zhong, Lixian, et al.. (2012). Egg Laying Decisions in Drosophila Are Consistent with Foraging Costs of Larval Progeny. PLoS ONE. 7(5). e37910–e37910. 62 indexed citations
14.
Zhong, Lixian, Richard Y. Hwang, & W. Daniel Tracey. (2010). Pickpocket Is a DEG/ENaC Protein Required for Mechanical Nociception in Drosophila Larvae. Current Biology. 20(5). 429–434. 207 indexed citations
15.
Caldwell, Jason C. & W. Daniel Tracey. (2010). Alternatives to Mammalian Pain Models 2: Using Drosophila to Identify Novel Genes Involved in Nociception. Methods in molecular biology. 617. 19–29. 15 indexed citations
16.
Hwang, Richard Y., Lixian Zhong, Yifan Xu, et al.. (2007). Nociceptive Neurons Protect Drosophila Larvae from Parasitoid Wasps. Current Biology. 17(24). 2105–2116. 339 indexed citations
17.
Al-Anzi, Bader, W. Daniel Tracey, & Seymour Benzer. (2006). Response of Drosophila to Wasabi Is Mediated by painless, the Fly Homolog of Mammalian TRPA1/ANKTM1. Current Biology. 16(10). 1034–1040. 147 indexed citations
18.
Wheeler, J. C., et al.. (2003). A DNA-binding-independent pathway of repression by the Drosophila Runt protein. Blood Cells Molecules and Diseases. 30(2). 207–222. 9 indexed citations
19.
Wheeler, J. C., et al.. (2002). Distinct in vivo requirements for establishment versus maintenance of transcriptional repression. Nature Genetics. 32(1). 206–210. 50 indexed citations
20.
Tracey, W. Daniel & Nancy A. Speck. (2000). Potential roles for RUNX1 and its orthologs in determining hematopoietic cell fate. Seminars in Cell and Developmental Biology. 11(5). 337–342. 45 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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