David J. Schwalb

1.2k total citations
8 papers, 381 citations indexed

About

David J. Schwalb is a scholar working on Pharmacology, Organic Chemistry and Physiology. According to data from OpenAlex, David J. Schwalb has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Organic Chemistry and 3 papers in Physiology. Recurrent topics in David J. Schwalb's work include Inflammatory mediators and NSAID effects (5 papers), Synthesis and biological activity (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). David J. Schwalb is often cited by papers focused on Inflammatory mediators and NSAID effects (5 papers), Synthesis and biological activity (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). David J. Schwalb collaborates with scholars based in United States, Switzerland and United Kingdom. David J. Schwalb's co-authors include David R. Janero, Markus Schirle, Eugene C. Petrella, Iván Cornella‐Taracido, John A. Tallarico, Thomas B. Poulsen, Jason Murphy, Kittikhun Wangkanont, Yoshihiro Mimaki and Matthew D. Shair and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Free Radical Biology and Medicine and Journal of Medicinal Chemistry.

In The Last Decade

David J. Schwalb

8 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David J. Schwalb United States	8	193	99	69	61	57	8	381
Kousei Shimada Japan	10	296 1.5×	174 1.8×	77 1.1×	21 0.3×	57 1.0×	23	530
Hannes Schmidinger Austria	9	265 1.4×	81 0.8×	44 0.6×	99 1.6×	17 0.3×	12	409
Fan‐Lu Kung Taiwan	14	347 1.8×	44 0.4×	52 0.8×	54 0.9×	57 1.0×	29	532
Yani Zhou China	7	259 1.3×	51 0.5×	57 0.8×	27 0.4×	18 0.3×	13	394
L Rondahl Sweden	6	225 1.2×	79 0.8×	27 0.4×	38 0.6×	62 1.1×	8	377
Jih‐Lie Tseng United States	13	248 1.3×	63 0.6×	13 0.2×	46 0.8×	56 1.0×	26	569
Lixia Pu United States	9	400 2.1×	33 0.3×	62 0.9×	54 0.9×	47 0.8×	15	506
Lamees Hegazy United States	13	191 1.0×	128 1.3×	18 0.3×	30 0.5×	38 0.7×	28	421
Antonio Limatola Italy	12	249 1.3×	92 0.9×	39 0.6×	34 0.6×	33 0.6×	16	475
Aikaterini Nikolaou Greece	9	196 1.0×	55 0.6×	38 0.6×	42 0.7×	44 0.8×	12	329

Countries citing papers authored by David J. Schwalb

Since Specialization

Citations

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

Fields of papers citing papers by David J. Schwalb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Schwalb. 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 David J. Schwalb. The network helps show where David J. Schwalb may publish in the future.

Co-authorship network of co-authors of David J. Schwalb

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

All Works

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8 of 8 papers shown

Burgett, Anthony W. G., Thomas B. Poulsen, Kittikhun Wangkanont, et al.. (2011). Natural products reveal cancer cell dependence on oxysterol-binding proteins. Nature Chemical Biology. 7(9). 639–647. 208 indexed citations

Schirle, Markus, Eugene C. Petrella, Scott M. Brittain, et al.. (2011). Kinase Inhibitor Profiling Using Chemoproteomics. Methods in molecular biology. 795. 161–177. 12 indexed citations

Dhawan, Vijay, David J. Schwalb, Matthew J. Shumway, et al.. (2005). Selective nitros(yl)ation induced in vivo by a nitric oxide-donating cyclooxygenase-2 inhibitor: a NObonomic analysis. Free Radical Biology and Medicine. 39(9). 1191–1207. 17 indexed citations

Ellis, James L., Edward Cochran, Richard A. Earl, et al.. (2005). NMI-1182, a gastro-protective cyclo-oxygenase-inhibiting nitric oxide donor. Inflammopharmacology. 12(5-6). 521–534. 10 indexed citations

Garvey, David S., David R. Janero, L. Gordon Letts, et al.. (2005). Design of a Heteroaryl Modified, 1,5-Disubstituted Pyrazole Cyclooxygenase-2 (COX-2) Selective Inhibitor. Letters in Drug Design & Discovery. 2(1). 40–43. 17 indexed citations

Khanapure, Subhash P., Richard A. Earl, David S. Garvey, et al.. (2005). 3-[4-(Methylsulfonyl)phenyl]-5-(trifluoromethyl)(2-pyridyl) Phenyl Ketone as a Potent and Orally Active Cyclooxygenase-2 Selective Inhibitor: Synthesis and Biological Evaluation. Journal of Medicinal Chemistry. 48(11). 3930–3934. 11 indexed citations

Earl, Richard A., David S. Garvey, David R. Janero, et al.. (2004). 3-(2-Methoxytetrahydrofuran-2-yl)pyrazoles: a novel class of potent, selective cyclooxygenase-2 (COX-2) inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(24). 6049–6052. 43 indexed citations

Janero, David R., Nathan S. Bryan, Fumito Saijo, et al.. (2004). Differential nitros(yl)ation of blood and tissue constituents during glyceryl trinitrate biotransformation in vivo. Proceedings of the National Academy of Sciences. 101(48). 16958–16963. 63 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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