Greg Delahanty

438 total citations
7 papers, 368 citations indexed

About

Greg Delahanty is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Greg Delahanty has authored 7 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Greg Delahanty's work include Neuropeptides and Animal Physiology (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Adenosine and Purinergic Signaling (2 papers). Greg Delahanty is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Adenosine and Purinergic Signaling (2 papers). Greg Delahanty collaborates with scholars based in United States and China. Greg Delahanty's co-authors include Takashi Tsukamoto, Barbara S. Slusher, Camilo Rojas, Bridget Duvall, Dana Ferraris, Marigo Stathis, Jesse Alt, Krupa H. Shukla, Ajit G. Thomas and Chi V. Dang and has published in prestigious journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Greg Delahanty

7 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Delahanty United States 6 201 117 64 57 52 7 368
Christina Hultsch Germany 12 152 0.8× 115 1.0× 112 1.8× 48 0.8× 27 0.5× 16 479
Laura Caboni Ireland 9 289 1.4× 81 0.7× 74 1.2× 51 0.9× 15 0.3× 11 441
Yoshikatsu Kanai Japan 5 430 2.1× 84 0.7× 125 2.0× 31 0.5× 41 0.8× 10 685
Sara L. O’Kane United Kingdom 10 237 1.2× 84 0.7× 119 1.9× 98 1.7× 9 0.2× 17 436
J. C. Madelmont France 12 259 1.3× 42 0.4× 124 1.9× 43 0.8× 28 0.5× 36 507
Lorenzo Colarossi Italy 13 211 1.0× 103 0.9× 124 1.9× 44 0.8× 13 0.3× 30 443
Jos de Man Netherlands 13 262 1.3× 50 0.4× 122 1.9× 56 1.0× 10 0.2× 22 497
Sonia Dolfi United States 14 431 2.1× 223 1.9× 289 4.5× 56 1.0× 28 0.5× 33 756
Wanhua Lin China 8 152 0.8× 93 0.8× 68 1.1× 26 0.5× 14 0.3× 11 337
Klaus Urbahns Germany 15 283 1.4× 30 0.3× 192 3.0× 53 0.9× 61 1.2× 27 683

Countries citing papers authored by Greg Delahanty

Since Specialization
Citations

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

Fields of papers citing papers by Greg Delahanty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Delahanty

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

All Works

7 of 7 papers shown
1.
Ferraris, Dana, Bridget Duvall, Greg Delahanty, et al.. (2014). Design, Synthesis, and Pharmacological Evaluation of Fluorinated Tetrahydrouridine Derivatives as Inhibitors of Cytidine Deaminase. Journal of Medicinal Chemistry. 57(6). 2582–2588. 45 indexed citations
2.
Hin, Niyada, Jesse Alt, Sarah C. Zimmermann, et al.. (2014). Peptidomimetics of Arg-Phe-NH2 as small molecule agonists of Mas-related gene C (MrgC) receptors. Bioorganic & Medicinal Chemistry. 22(21). 5831–5837. 4 indexed citations
3.
Shukla, Krupa H., Dana Ferraris, Ajit G. Thomas, et al.. (2012). Design, Synthesis, and Pharmacological Evaluation of Bis-2-(5-phenylacetamido-1,2,4-thiadiazol-2-yl)ethyl Sulfide 3 (BPTES) Analogs as Glutaminase Inhibitors. Journal of Medicinal Chemistry. 55(23). 10551–10563. 160 indexed citations
4.
Stoermer, Doris, Dilrukshi Vitharana, Niyada Hin, et al.. (2012). Design, Synthesis, and Pharmacological Evaluation of Glutamate Carboxypeptidase II (GCPII) Inhibitors Based on Thioalkylbenzoic Acid Scaffolds. Journal of Medicinal Chemistry. 55(12). 5922–5932. 24 indexed citations
5.
Grella, Brian, James F. Berry, Greg Delahanty, et al.. (2010). The discovery and structure–activity relationships of indole-based inhibitors of glutamate carboxypeptidase II. Bioorganic & Medicinal Chemistry Letters. 20(24). 7222–7225. 9 indexed citations
6.
Majer, Pavel, Doris Stoermer, Weizheng Xu, et al.. (2006). Structural Optimization of Thiol-Based Inhibitors of Glutamate Carboxypeptidase II by Modification of the P1‘ Side Chain. Journal of Medicinal Chemistry. 49(10). 2876–2885. 35 indexed citations
7.
Majer, Pavel, Paul Jackson, Greg Delahanty, et al.. (2003). Synthesis and Biological Evaluation of Thiol-Based Inhibitors of Glutamate Carboxypeptidase II:  Discovery of an Orally Active GCP II Inhibitor. Journal of Medicinal Chemistry. 46(10). 1989–1996. 91 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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