Sherrill Nurnberg

762 total citations
7 papers, 661 citations indexed

About

Sherrill Nurnberg is a scholar working on Pharmacology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Sherrill Nurnberg has authored 7 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 2 papers in Organic Chemistry and 2 papers in Molecular Biology. Recurrent topics in Sherrill Nurnberg's work include Inflammatory mediators and NSAID effects (3 papers), Estrogen and related hormone effects (2 papers) and Synthesis and Biological Evaluation (2 papers). Sherrill Nurnberg is often cited by papers focused on Inflammatory mediators and NSAID effects (3 papers), Estrogen and related hormone effects (2 papers) and Synthesis and Biological Evaluation (2 papers). Sherrill Nurnberg collaborates with scholars based in United States. Sherrill Nurnberg's co-authors include Robert A. Copeland, Donald Pinto, M Covington, J M Trzaskos, Jean Williams, Stephanie Pick, John Giannaras, Maryanne Covington, James M. Trzăskos and Ronald L. Magolda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Medicinal Chemistry.

In The Last Decade

Sherrill Nurnberg

7 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sherrill Nurnberg United States	5	286	229	162	131	114	7	661
Alexander F. Shaffer United States	8	424 1.5×	224 1.0×	498 3.1×	81 0.6×	112 1.0×	9	999
John Giannaras United States	7	264 0.9×	173 0.8×	142 0.9×	30 0.2×	119 1.0×	9	517
Karen M. Lakkides United States	7	307 1.1×	223 1.0×	61 0.4×	86 0.7×	97 0.9×	8	526
Xian-Zhong Ding United States	10	244 0.9×	450 2.0×	81 0.5×	64 0.5×	43 0.4×	10	782
Uddhav P. Kelavkar United States	14	221 0.8×	291 1.3×	96 0.6×	53 0.4×	109 1.0×	25	653
Stefan M. Noha Austria	15	232 0.8×	389 1.7×	113 0.7×	35 0.3×	58 0.5×	18	712
Peter D. Collin United States	19	156 0.5×	236 1.0×	44 0.3×	71 0.5×	68 0.6×	30	908
Dagmar Szellas Germany	7	184 0.6×	196 0.9×	87 0.5×	120 0.9×	76 0.7×	7	507
Astrid S. Kahnt Germany	17	144 0.5×	319 1.4×	96 0.6×	163 1.2×	49 0.4×	31	789
Masanori Sugimoto Japan	16	143 0.5×	148 0.6×	175 1.1×	67 0.5×	31 0.3×	30	677

Countries citing papers authored by Sherrill Nurnberg

Since Specialization

Citations

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

Fields of papers citing papers by Sherrill Nurnberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherrill Nurnberg

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

All Works

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7 of 7 papers shown

Scherle, Peggy, Elizabeth A. Jones, Margaret Favata, et al.. (1998). Inhibition of MAP Kinase Kinase Prevents Cytokine and Prostaglandin E2 Production in Lipopolysaccharide-Stimulated Monocytes. The Journal of Immunology. 161(10). 5681–5686. 239 indexed citations

Dyk, Drew E. Van, R. Brückner, Jay W. Fox, et al.. (1997). COMPARISON OF SNAKE VENOM REPROLYSIN AND MATRIX METALLOPROTEINASES AS MODELS OF TNF-α CONVERTING ENZYME. Bioorganic & Medicinal Chemistry Letters. 7(10). 1219–1224. 8 indexed citations

Rider, Nicholas L., Donald Pinto, Maryanne Covington, et al.. (1996). Comparative Effects of Selective Cyclooxygenase 1 and Cyclooxygenase 2 Inhibitors on Myeloperoxidase and 3α-Hydroxysteroid Dehydrogenase. Journal of enzyme inhibition. 10(2). 73–79. 2 indexed citations

Copeland, Robert A., Jean Williams, John Giannaras, et al.. (1994). Mechanism of selective inhibition of the inducible isoform of prostaglandin G/H synthase.. Proceedings of the National Academy of Sciences. 91(23). 11202–11206. 338 indexed citations

Batt, Douglas G., Richard B. Goodman, Donald G. Jones, et al.. (1994). ChemInform Abstract: 2′‐Substituted Chalcone Derivatives as Inhibitors of Interleukin‐1 Biosynthesis.. ChemInform. 25(10). 1 indexed citations

Batt, Douglas G., et al.. (1993). 2'-Substituted chalcone derivatives as inhibitors of interleukin-1 biosynthesis. Journal of Medicinal Chemistry. 36(10). 1434–1442. 69 indexed citations

Wright, Stephen W., Richard R. Harris, Janet S. Kerr, et al.. (1993). ChemInform Abstract: Synthesis, Chemical, and Biological Properties of Vinylogous Hydroxamic Acids: Dual Inhibitors of 5‐Lipoxygenase and IL‐1 Biosynthesis.. ChemInform. 24(21). 4 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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