G. Gregory Neely

9.6k total citations
92 papers, 3.1k citations indexed

About

G. Gregory Neely is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, G. Gregory Neely has authored 92 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 17 papers in Physiology. Recurrent topics in G. Gregory Neely's work include Neurobiology and Insect Physiology Research (21 papers), CRISPR and Genetic Engineering (9 papers) and Pain Mechanisms and Treatments (9 papers). G. Gregory Neely is often cited by papers focused on Neurobiology and Insect Physiology Research (21 papers), CRISPR and Genetic Engineering (9 papers) and Pain Mechanisms and Treatments (9 papers). G. Gregory Neely collaborates with scholars based in Australia, United States and Canada. G. Gregory Neely's co-authors include Qiao‐Ping Wang, Josef Penninger, Christopher H. Mody, Slava Epelman, J. Andrew Pospisilik, Herbert Herzog, Yong Lin, Ingo Ebersberger, Alan M. Krensky and Duncan Browman and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

G. Gregory Neely

88 papers receiving 3.1k citations

Peers

G. Gregory Neely
Masahiro Kondo Japan
Mingyao Yang China
Ikuma Kato Japan
William W. Ja United States
Ethan A. Lerner United States
Keiko Shimizu Japan
Luis Vaca Mexico
Akiko Shiratsuchi Japan
Sheng Wang China
Wen Liu China
Masahiro Kondo Japan
G. Gregory Neely
Citations per year, relative to G. Gregory Neely G. Gregory Neely (= 1×) peers Masahiro Kondo

Countries citing papers authored by G. Gregory Neely

Since Specialization
Citations

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

Fields of papers citing papers by G. Gregory Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Gregory Neely. 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 G. Gregory Neely. The network helps show where G. Gregory Neely may publish in the future.

Co-authorship network of co-authors of G. Gregory Neely

This figure shows the co-authorship network connecting the top 25 collaborators of G. Gregory Neely. A scholar is included among the top collaborators of G. Gregory Neely 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 G. Gregory Neely. G. Gregory Neely 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.
Wang, Qiao‐Ping, Anqi Li, Bei Wang, et al.. (2025). Sucralose uses reward pathways to promote acute caloric intake. Neuropeptides. 110. 102502–102502. 2 indexed citations
2.
Hao, Huilin, Youxi Yuan, Atsuko Ito, et al.. (2025). FUT10 and FUT11 are protein O-fucosyltransferases that modify protein EMI domains. Nature Chemical Biology. 21(4). 598–610. 9 indexed citations
3.
Clark, Teleri, et al.. (2024). CRISPR activation screens: navigating technologies and applications. Trends in biotechnology. 42(8). 1017–1034. 15 indexed citations
4.
Hall, Steven R., Sergey Kurdyukov, Edouard Crittenden, et al.. (2024). Molecular dissection of cobra venom highlights heparinoids as an antidote for spitting cobra envenoming. Science Translational Medicine. 16(756). eadk4802–eadk4802. 9 indexed citations
5.
Díaz‐Vegas, Alexis, Kristen C. Cooke, Belinda Yau, et al.. (2024). Deletion of miPEP in adipocytes protects against obesity and insulin resistance by boosting muscle metabolism. Molecular Metabolism. 86. 101983–101983. 4 indexed citations
6.
Ting, Ka Ka, Paul Coleman, Hani Jieun Kim, et al.. (2023). Vascular senescence and leak are features of the early breakdown of the blood–brain barrier in Alzheimer’s disease models. GeroScience. 45(6). 3307–3331. 42 indexed citations
7.
Walters, Edgar T., Robyn J. Crook, G. Gregory Neely, Theodore J. Price, & Ewan St. John Smith. (2023). Persistent nociceptor hyperactivity as a painful evolutionary adaptation. Trends in Neurosciences. 46(3). 211–227. 32 indexed citations
8.
Cole, Alexander J., Yiwei Wang, Yuen Yee Cheng, et al.. (2023). Advanced pathophysiology mimicking lung models for accelerated drug discovery. Biomaterials Research. 27(1). 35–35. 5 indexed citations
9.
Leva, Francesca Di, Michele Filosi, Lisa J. Oyston, et al.. (2023). Increased Levels of the Parkinson’s Disease-Associated Gene ITPKB Correlate with Higher Expression Levels of α-Synuclein, Independent of Mutation Status. International Journal of Molecular Sciences. 24(3). 1984–1984. 3 indexed citations
10.
Lin, Yong, et al.. (2021). TM2D genes regulate Notch signaling and neuronal function in Drosophila. PLoS Genetics. 17(12). e1009962–e1009962. 7 indexed citations
11.
Khuong, Thang M., et al.. (2019). Peripheralstraightjacket(α2δ Ca2+channel subunit) expression is required for neuropathic sensitization inDrosophila. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1785). 20190287–20190287. 11 indexed citations
12.
Shi, Qian, Yong Lin, Afaf Saliba, et al.. (2019). Tubulin Polymerization Promoting Protein, Ringmaker, and MAP1B Homolog Futsch Coordinate Microtubule Organization and Synaptic Growth. Frontiers in Cellular Neuroscience. 13. 192–192. 13 indexed citations
13.
Loh, Kim, Lei Zhang, Amanda E. Brandon, et al.. (2017). Insulin controls food intake and energy balance via NPY neurons. Molecular Metabolism. 6(6). 574–584. 122 indexed citations
14.
Xiong, Bo, Vafa Bayat, Manish Jaiswal, et al.. (2012). Crag Is a GEF for Rab11 Required for Rhodopsin Trafficking and Maintenance of Adult Photoreceptor Cells. PLoS Biology. 10(12). e1001438–e1001438. 78 indexed citations
15.
Cronin, Shane J. F., Nadine T. Nehme, Samuel Liégeois, et al.. (2009). Genome-Wide RNAi Screen Identifies Genes Involved in Intestinal Pathogenic Bacterial Infection. Science. 325(5938). 340–343. 245 indexed citations
16.
Joza, Nicholas, Kathleen A. Galindo, J. Andrew Pospisilik, et al.. (2008). The molecular archaeology of a mitochondrial death effector: AIF in Drosophila. Cell Death and Differentiation. 15(6). 1009–1018. 46 indexed citations
17.
Epelman, Slava, Danuta Stack, Chris Bell, et al.. (2004). Different Domains of Pseudomonas aeruginosa Exoenzyme S Activate Distinct TLRs. The Journal of Immunology. 173(3). 2031–2040. 67 indexed citations
18.
Ling, Ling, Jason Spurrell, Jian Fei Wang, et al.. (2002). CD8 T Cell-Mediated Killing of Cryptococcus neoformans Requires Granulysin and Is Dependent on CD4 T Cells and IL-15. The Journal of Immunology. 169(10). 5787–5795. 115 indexed citations
19.
20.
Neely, G. Gregory, Stephen M. Robbins, Ernest K. Amankwah, et al.. (2001). Lipopolysaccharide-Stimulated or Granulocyte-Macrophage Colony-Stimulating Factor-Stimulated Monocytes Rapidly Express Biologically Active IL-15 on Their Cell Surface Independent of New Protein Synthesis. The Journal of Immunology. 167(9). 5011–5017. 64 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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