Michael D. Gordon

7.2k total citations · 2 hit papers
73 papers, 4.8k citations indexed

About

Michael D. Gordon is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Michael D. Gordon has authored 73 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 19 papers in Organic Chemistry and 17 papers in Molecular Biology. Recurrent topics in Michael D. Gordon's work include Neurobiology and Insect Physiology Research (25 papers), Insect Utilization and Effects (9 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Michael D. Gordon is often cited by papers focused on Neurobiology and Insect Physiology Research (25 papers), Insect Utilization and Effects (9 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Michael D. Gordon collaborates with scholars based in United States, Canada and United Kingdom. Michael D. Gordon's co-authors include Roel Nusse, Kristin Scott, Joanna Roberts, Bruce E. Clurman, Mark Groudine, Robert J. Sheaff, Don Secrest, Dennis C. Ko, Kevin Mann and Matthew P. Scott and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael D. Gordon

73 papers receiving 4.6k citations

Hit Papers

Wnt Signaling: Multiple Pathways, Multiple Receptors, and... 1997 2026 2006 2016 2006 1997 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Gordon United States 29 2.2k 1.4k 734 720 514 73 4.8k
Eric Blanc France 31 2.8k 1.3× 505 0.4× 213 0.3× 711 1.0× 373 0.7× 101 5.3k
John F. McDonald United States 53 4.9k 2.3× 293 0.2× 839 1.1× 843 1.2× 804 1.6× 190 9.2k
Daniel Kalderon United States 37 6.2k 2.9× 1.3k 0.9× 995 1.4× 2.1k 2.9× 944 1.8× 71 8.5k
Robert H. Kretsinger United States 46 7.0k 3.3× 1.1k 0.8× 393 0.5× 516 0.7× 1.4k 2.6× 135 9.9k
Nadya G. Gurskaya Russia 22 3.3k 1.5× 785 0.6× 198 0.3× 563 0.8× 473 0.9× 47 5.4k
Wolfgang J. Schneider Austria 64 6.8k 3.2× 1.1k 0.8× 872 1.2× 2.5k 3.5× 1.9k 3.8× 230 14.6k
Helmut Wieczorek Germany 43 4.0k 1.8× 957 0.7× 93 0.1× 318 0.4× 273 0.5× 107 5.6k
Antônio Carlos Martins de Camargo Brazil 39 2.4k 1.1× 1.1k 0.8× 1.0k 1.4× 1.9k 2.6× 175 0.3× 137 4.4k
Konstantin A. Lukyanov Russia 54 10.1k 4.7× 2.8k 2.0× 381 0.5× 1.3k 1.8× 1.2k 2.4× 179 15.9k
Markus Noll Switzerland 51 9.3k 4.3× 1.4k 1.0× 493 0.7× 2.4k 3.3× 1.6k 3.1× 89 11.0k

Countries citing papers authored by Michael D. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Gordon. 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 Michael D. Gordon. The network helps show where Michael D. Gordon may publish in the future.

Co-authorship network of co-authors of Michael D. Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Gordon. A scholar is included among the top collaborators of Michael D. Gordon 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 Michael D. Gordon. Michael D. Gordon 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.
Stanley, Molly, et al.. (2025). Functional imaging and connectome analyses reveal organizing principles of taste circuits in Drosophila. Current Biology. 35(10). 2391–2405.e4. 3 indexed citations
2.
Li, Jinfang, et al.. (2024). Taste cells expressing Ionotropic Receptor 94e reciprocally impact feeding and egg laying in Drosophila. Cell Reports. 43(8). 114625–114625. 5 indexed citations
3.
Musso, Pierre‐Yves, et al.. (2023). Optogenetic induction of appetitive and aversive taste memories in Drosophila. eLife. 12. 4 indexed citations
4.
Stanley, Molly, et al.. (2022). A molecular mechanism for high salt taste in Drosophila. Current Biology. 32(14). 3070–3081.e5. 29 indexed citations
5.
Gordon, Michael D., et al.. (2021). A closed-loop optogenetic screen for neurons controlling feeding in Drosophila. G3 Genes Genomes Genetics. 11(5). 2 indexed citations
6.
Musso, Pierre‐Yves, et al.. (2021). A neural circuit linking two sugar sensors regulates satiety-dependent fructose drive in Drosophila. Science Advances. 7(49). eabj0186–eabj0186. 18 indexed citations
7.
Duan, Jianli, Yunpo Zhao, Haichao Li, et al.. (2020). Bab2 Functions as an Ecdysone-Responsive Transcriptional Repressor during Drosophila Development. Cell Reports. 32(4). 107972–107972. 13 indexed citations
9.
Stanley, Molly, et al.. (2018). A complex peripheral code for salt taste in Drosophila. eLife. 7. 93 indexed citations
10.
Zhang, Peng, H. Peter Lu, Rui T. Peixoto, et al.. (2018). Heparan Sulfate Organizes Neuronal Synapses through Neurexin Partnerships. Cell. 174(6). 1450–1464.e23. 115 indexed citations
11.
Mann, Kevin, et al.. (2016). Starvation-Induced Depotentiation of Bitter Taste in Drosophila. Current Biology. 26(21). 2854–2861. 71 indexed citations
12.
Chen, Yu‐Chieh, et al.. (2015). Pharyngeal sense organs drive robust sugar consumption in Drosophila. Nature Communications. 6(1). 6667–6667. 58 indexed citations
13.
Mann, Kevin, Michael D. Gordon, & Kristin Scott. (2013). A Pair of Interneurons Influences the Choice between Feeding and Locomotion in Drosophila. Neuron. 79(4). 754–765. 49 indexed citations
14.
Gordon, Michael D., et al.. (2012). Integration of Taste and Calorie Sensing inDrosophila. Journal of Neuroscience. 32(42). 14767–14774. 76 indexed citations
15.
McElwain, Mark A., Dennis C. Ko, Michael D. Gordon, et al.. (2011). A Suppressor/Enhancer Screen in Drosophila Reveals a Role for Wnt-Mediated Lipid Metabolism in Primordial Germ Cell Migration. PLoS ONE. 6(11). e26993–e26993. 19 indexed citations
16.
Gordon, Michael D. & Roel Nusse. (2006). Wnt Signaling: Multiple Pathways, Multiple Receptors, and Multiple Transcription Factors. Journal of Biological Chemistry. 281(32). 22429–22433. 1090 indexed citations breakdown →
17.
Ko, Dennis C., et al.. (2001). Dynamic Movements of Organelles Containing Niemann-Pick C1 Protein: NPC1 Involvement in Late Endocytic Events. Molecular Biology of the Cell. 12(3). 601–614. 209 indexed citations
18.
Maduro, Morris, Michael D. Gordon, J. Roger Jacobs, & David B. Pilgrim. (2000). The Unc-119 Family of Neural Proteins is Functionally Conserved Between Humans,DrosophilaandC. Elegans. Journal of Neurogenetics. 13(4). 191–212. 37 indexed citations
19.
Gordon, Michael D., Nonghoon Choe, Jonathan Duffy, et al.. (1998). Phytoremediation of trichloroethylene with hybrid poplars.. Environmental Health Perspectives. 106(suppl 4). 1001–1004. 88 indexed citations
20.
Gordon, Michael D., et al.. (1988). Advances in the biology and carcinogenesis of basal cell carcinoma.. PubMed. 88(7). 367–70. 10 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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