Michael J. Kates

682 total citations
8 papers, 551 citations indexed

About

Michael J. Kates is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael J. Kates has authored 8 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 3 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael J. Kates's work include Neuroscience and Neuropharmacology Research (2 papers), Sulfur-Based Synthesis Techniques (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (1 paper). Michael J. Kates is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Sulfur-Based Synthesis Techniques (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (1 paper). Michael J. Kates collaborates with scholars based in United States and United Kingdom. Michael J. Kates's co-authors include J. Herman Schauble, Russell J. Thomas, Patricia Amouzegh, Jeffrey O. Saunders, Peter S. DiStefano, Rory Curtis, Kenneth Keavey, Jeffrey Hixon, Jean‐François Pons and Manuel A. Navia and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Tetrahedron Letters.

In The Last Decade

Michael J. Kates

8 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Kates United States	7	271	206	166	132	86	8	551
Kenneth Keavey United Kingdom	5	273 1.0×	239 1.2×	154 0.9×	146 1.1×	88 1.0×	6	576
Patricia Amouzegh United Kingdom	6	273 1.0×	169 0.8×	104 0.6×	130 1.0×	87 1.0×	7	500
Adam Flegg United Kingdom	4	273 1.0×	191 0.9×	103 0.6×	130 1.0×	88 1.0×	4	498
Paolo Di Fruscia United Kingdom	10	350 1.3×	332 1.6×	352 2.1×	191 1.4×	100 1.2×	15	980
Teng Ai United States	15	116 0.4×	252 1.2×	397 2.4×	88 0.7×	55 0.6×	22	624
E. Hampton Sessions United States	16	108 0.4×	295 1.4×	240 1.4×	36 0.3×	66 0.8×	20	635
Xiaozhang Zheng United States	13	85 0.3×	249 1.2×	102 0.6×	31 0.2×	47 0.5×	26	448
Yousang Hwang United States	15	35 0.1×	757 3.7×	130 0.8×	48 0.4×	22 0.3×	19	1.1k
Maria Fridén‐Saxin Sweden	10	61 0.2×	127 0.6×	343 2.1×	24 0.2×	27 0.3×	12	495
Bharat Lagu United States	18	13 0.0×	343 1.7×	390 2.3×	61 0.5×	14 0.2×	36	740

Countries citing papers authored by Michael J. Kates

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Kates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Kates

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Panarese, Joseph D., Darren W. Engers, Yong‐Jin Wu, et al.. (2018). Discovery of VU2957 (Valiglurax): An mGlu₄ Positive Allosteric Modulator Evaluated as a Preclinical Candidate for the Treatment of Parkinson’s Disease. ACS Medicinal Chemistry Letters. 10(3). 255–260. 18 indexed citations

Castelhano, Arlindo L., Michael J. Kates, Anna L. Blobaum, et al.. (2017). Development and kilogram-scale synthesis of mGlu5 negative allosteric modulator VU0424238 (auglurant). Tetrahedron Letters. 58(36). 3554–3558. 3 indexed citations

Napper, Andrew D., Jeffrey Hixon, Thomas McDonagh, et al.. (2005). Discovery of Indoles as Potent and Selective Inhibitors of the Deacetylase SIRT1. Journal of Medicinal Chemistry. 48(25). 8045–8054. 436 indexed citations

Kates, Michael J. & J. Herman Schauble. (1996). Total Synthesis of Chaetomellic Anhydrides A and B via a Novel Succinate to Maleate Oxidation. The Journal of Organic Chemistry. 61(12). 4164–4167. 19 indexed citations

Kees, Kenneth L., Kurt Steiner, John J. Fitzgerald, et al.. (1995). Studies on New Acidic Azoles as Glucose-Lowering Agents in Obese, Diabetic db/db Mice. Journal of Medicinal Chemistry. 38(4). 617–628. 41 indexed citations

Kates, Michael J. & J. Herman Schauble. (1995). Facile Conversion of Succinic to Maleic-Type Anhydrides, Thioanhydrides, and Imides. The Journal of Organic Chemistry. 60(21). 6676–6677. 9 indexed citations

Kates, Michael J. & J. Herman Schauble. (1995). Synthesis of small‐medium ring thioanhydrides. Journal of Heterocyclic Chemistry. 32(3). 971–978. 13 indexed citations

Kates, Michael J. & J. Herman Schauble. (1994). Mono- and bis-carbonyl methylenation of thiolane-2,5-diones (succinic thioanhydrides). The Journal of Organic Chemistry. 59(2). 494–496. 12 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.

Explore authors with similar magnitude of impact