Mateusz Mach

450 total citations
24 papers, 360 citations indexed

About

Mateusz Mach is a scholar working on Organic Chemistry, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mateusz Mach has authored 24 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 17 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mateusz Mach's work include Carbohydrate Chemistry and Synthesis (18 papers), Glycosylation and Glycoproteins Research (8 papers) and Enzyme Catalysis and Immobilization (7 papers). Mateusz Mach is often cited by papers focused on Carbohydrate Chemistry and Synthesis (18 papers), Glycosylation and Glycoproteins Research (8 papers) and Enzyme Catalysis and Immobilization (7 papers). Mateusz Mach collaborates with scholars based in Poland, United Kingdom and United States. Mateusz Mach's co-authors include Sławomir Jarosz, Bert Fraser‐Reid, Kevin C. Hazen, Clara Uriel, J. Cristobal López, Jadwiga Frelek, K. V. Radhakrishnan, Ana M. Gómez, Arkadiusz Listkowski and Manuel Piacenza and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Diabetes.

In The Last Decade

Mateusz Mach

24 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateusz Mach Poland 12 298 271 31 31 27 24 360
John B. Etienne United States 9 293 1.0× 300 1.1× 18 0.6× 28 0.9× 19 0.7× 12 426
Narendra Panday Switzerland 11 282 0.9× 217 0.8× 72 2.3× 13 0.4× 12 0.4× 18 369
Lisa J. Whalen United States 10 287 1.0× 292 1.1× 19 0.6× 16 0.5× 23 0.9× 14 470
Zsuzsa Hadady Hungary 6 351 1.2× 268 1.0× 27 0.9× 13 0.4× 30 1.1× 8 390
Tobias Gylling Frihed Denmark 11 497 1.7× 346 1.3× 34 1.1× 62 2.0× 35 1.3× 13 553
C. J. F. BICHARD United Kingdom 10 380 1.3× 328 1.2× 27 0.9× 9 0.3× 30 1.1× 13 452
Ken‐ichi Fuhshuku Japan 12 167 0.6× 257 0.9× 36 1.2× 22 0.7× 7 0.3× 25 387
Hua-Yu Leo Wang United States 10 187 0.6× 302 1.1× 25 0.8× 24 0.8× 17 0.6× 11 402
D. Matthew G. Tilbrook United Kingdom 11 333 1.1× 262 1.0× 117 3.8× 36 1.2× 16 0.6× 41 449
C. Tiraidis Greece 9 286 1.0× 239 0.9× 28 0.9× 6 0.2× 40 1.5× 11 348

Countries citing papers authored by Mateusz Mach

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Mach

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

All Works

20 of 20 papers shown
1.
Mach, Mateusz, et al.. (2022). Esketamine inhaled as dry powder: Pharmacokinetic, pharmacodynamic and safety assessment in a preclinical study. Pulmonary Pharmacology & Therapeutics. 73-74. 102127–102127. 9 indexed citations
2.
Mach, Mateusz, et al.. (2021). Discovery and development of CPL207280 as new GPR40/FFA1 agonist. European Journal of Medicinal Chemistry. 226. 113810–113810. 13 indexed citations
3.
4.
Mach, Mateusz, et al.. (2021). Evaluation of the hepatotoxicity of the novel GPR40 (FFAR1) agonist CPL207280 in the rat and monkey. PLoS ONE. 16(9). e0257477–e0257477. 4 indexed citations
5.
Mach, Mateusz, et al.. (2019). 2333-PUB: CPL207-280, a Potent and Safe GPR40 Agonist for the treatment of Type 2 Diabetes. Diabetes. 68(Supplement_1). 2 indexed citations
6.
Fraser‐Reid, Bert, et al.. (2003). Orthoesters versus 2‐O‐Acyl Glycosides as Glycosyl Donors: Theorectical and Experimental Studies. Chemistry - A European Journal. 9(19). 4687–4692. 34 indexed citations
7.
8.
Fraser‐Reid, Bert, J. Cristobal López, K. V. Radhakrishnan, et al.. (2002). Reciprocal donor acceptor selectivity (RDAS): A new concept for "matching" donors with acceptors. Canadian Journal of Chemistry. 80(8). 1075–1087. 33 indexed citations
9.
Fraser‐Reid, Bert, J. Cristobal López, K. V. Radhakrishnan, et al.. (2002). Unexpected Role of O-2 “Protecting” Groups of Glycosyl Donors in Mediating Regioselective Glycosidation. Journal of the American Chemical Society. 124(13). 3198–3199. 34 indexed citations
10.
Jarosz, Sławomir & Mateusz Mach. (2002). Regio- and Stereoselective Transformations of Sucrose at the Terminal Positions. European Journal of Organic Chemistry. 2002(5). 769–780. 29 indexed citations
11.
Mach, Mateusz, Sławomir Jarosz, & Arkadiusz Listkowski. (2001). CROWN ETHER ANALOGS FROM SUCROSE. Journal of Carbohydrate Chemistry. 20(6). 485–493. 21 indexed citations
12.
Mach, Mateusz & Sławomir Jarosz. (2001). REACTION OF SUGAR PHOSPHONATES WITH SUCROSE ALDEHYDES. SYNTHESIS OF HIGHER ANALOGS OF SUCROSE. Journal of Carbohydrate Chemistry. 20(5). 411–424. 6 indexed citations
13.
Jarosz, Sławomir, Mateusz Mach, Katarzyna Szewczyk, Stanisław Skóra, & Z. Ciunik. (2001). Synthesis of Sugar-Derived 2′- and 3′-Substituted Furans and Their Application in Diels−Alder Reactions. European Journal of Organic Chemistry. 2001(15). 2955–2955. 8 indexed citations
14.
Jarosz, Sławomir, Arkadiusz Listkowski, & Mateusz Mach. (2001). ChemInform Abstract: Coupling of the C6 and C6′ Positions of Sucrose by Metathesis Reaction.. ChemInform. 32(32). 2 indexed citations
15.
Jarosz, Sławomir & Mateusz Mach. (1999). Synthesis of Sucrose Derivatives Modified at the Terminal Carbon Atoms. Polish Journal of Chemistry. 73(6). 981–988. 5 indexed citations
16.
Jarosz, Sławomir, et al.. (1999). Application of Sugar Phosphonates for the Preparation of Higher Carbon Monosaccharides. Journal of Carbohydrate Chemistry. 18(8). 961–974. 11 indexed citations
17.
Jarosz, Sławomir, P. SALANSKI, & Mateusz Mach. (1998). Application of stabilized sugar-derived phosphoranes in the synthesis of higher carbon monosaccharides. First synthesis of a C21-dialdose. Tetrahedron. 54(11). 2583–2594. 16 indexed citations
18.
Jarosz, Sławomir & Mateusz Mach. (1998). Phosphonate versus phosphorane method in the synthesis of higher carbon sugars. Preparation of D-erythro-L-manno-D-gluco-dodecitol. Journal of the Chemical Society Perkin Transactions 1. 3943–3948. 18 indexed citations
19.
Jarosz, Sławomir & Mateusz Mach. (1998). ChemInform Abstract: Higher Sucrose Analogues: Homologation of a Glucose Unit of Sucrose by Two Carbon Atoms.. ChemInform. 29(4). 1 indexed citations
20.
Jarosz, Sławomir & Mateusz Mach. (1997). Higher Sucrose Analogs: Homologation of a Glucose Unit of Sucrose by Two Carbon Atoms. Journal of Carbohydrate Chemistry. 16(7). 1111–1122. 6 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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