Neal Green

948 total citations
12 papers, 577 citations indexed

About

Neal Green is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Neal Green has authored 12 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Cell Biology. Recurrent topics in Neal Green's work include Endoplasmic Reticulum Stress and Disease (4 papers), NF-κB Signaling Pathways (4 papers) and Synthesis and biological activity (3 papers). Neal Green is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), NF-κB Signaling Pathways (4 papers) and Synthesis and biological activity (3 papers). Neal Green collaborates with scholars based in United States and Canada. Neal Green's co-authors include Stacie L. Bulfer, Donna M. Huryn, Michelle R. Arkin, R. Jeffrey Neitz, Peter Wipf, Raymond J. Deshaies, Sriram Subramaniam, Barbara Mroczkowski, Alan Merk and Prashant Rao and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Neal Green

11 papers receiving 567 citations

Peers

Neal Green
Rajan Pragani United States
Stacie L. Bulfer United States
Marco Faini Switzerland
Joseph Kim United States
Domenico Fasci United States
Rajan Pragani United States
Neal Green
Citations per year, relative to Neal Green Neal Green (= 1×) peers Rajan Pragani

Countries citing papers authored by Neal Green

Since Specialization
Citations

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

Fields of papers citing papers by Neal Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Green

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

All Works

12 of 12 papers shown
1.
Green, Neal, Matthew G. LaPorte, Shan Li, et al.. (2025). Antitumor Efficacy of 1,2,4-Triazole-Based VCP/p97 Allosteric Inhibitors. Journal of Medicinal Chemistry. 68(14). 14465–14494.
2.
LaPorte, Matthew G., James C. Burnett, Raffaele Colombo, et al.. (2018). Optimization of Phenyl Indole Inhibitors of the AAA+ ATPase p97. ACS Medicinal Chemistry Letters. 9(11). 1075–1081. 18 indexed citations
3.
Banerjee, Soojay, Alberto Bartesaghi, Alan Merk, et al.. (2016). 2.3 Å resolution cryo-EM structure of human p97 and mechanism of allosteric inhibition. Science. 351(6275). 871–875. 269 indexed citations
4.
Bulfer, Stacie L., Ramappa Chakrasali, Michael S. Chimenti, et al.. (2015). Allosteric Indole Amide Inhibitors of p97: Identification of a Novel Probe of the Ubiquitin Pathway. ACS Medicinal Chemistry Letters. 7(2). 182–187. 26 indexed citations
5.
Kirincich, Steven J., Jason Xiang, Neal Green, et al.. (2009). Benzhydrylquinazolinediones: Novel cytosolic phospholipase A2α inhibitors with improved physicochemical properties. Bioorganic & Medicinal Chemistry. 17(13). 4383–4405. 24 indexed citations
6.
Wu, Junjun, Neal Green, Rajeev Hotchandani, et al.. (2009). Selective inhibitors of tumor progression loci-2 (Tpl2) kinase with potent inhibition of TNF-α production in human whole blood. Bioorganic & Medicinal Chemistry Letters. 19(13). 3485–3488. 36 indexed citations
7.
Kaila, Neelu, Neal Green, Huan‐Qiu Li, et al.. (2007). Identification of a novel class of selective Tpl2 kinase inhibitors: 4-Alkylamino-[1,7]naphthyridine-3-carbonitriles. Bioorganic & Medicinal Chemistry. 15(19). 6425–6442. 23 indexed citations
8.
Wang, Qin, Yuhua Zhang, J. Perry Hall, et al.. (2007). A rat pharmacokinetic/pharmacodynamic model for assessment of lipopolysaccharide-induced tumor necrosis factor-alpha production. Journal of Pharmacological and Toxicological Methods. 56(1). 67–71. 15 indexed citations
9.
Hall, J. Perry, Sang Hsu, John W. Cuozzo, et al.. (2007). Pharmacologic Inhibition of Tpl2 Blocks Inflammatory Responses in Primary Human Monocytes, Synoviocytes, and Blood. Journal of Biological Chemistry. 282(46). 33295–33304. 64 indexed citations
10.
Hu, Yonghan, Neal Green, Lori K. Gavrin, et al.. (2006). Inhibition of Tpl2 kinase and TNFα production with quinoline-3-carbonitriles for the treatment of rheumatoid arthritis. Bioorganic & Medicinal Chemistry Letters. 16(23). 6067–6072. 54 indexed citations
12.
Gavrin, Lori K., Neal Green, Yonghan Hu, et al.. (2005). Inhibition of Tpl2 kinase and TNF-α production with 1,7-naphthyridine-3-carbonitriles: Synthesis and structure–activity relationships. Bioorganic & Medicinal Chemistry Letters. 15(23). 5288–5292. 41 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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