Jana Muchová

78 total papers · 1.7k total citations
54 papers, 1.3k citations indexed

About

Jana Muchová is a scholar working on Molecular Biology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jana Muchová has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Clinical Biochemistry and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jana Muchová's work include Advanced Glycation End Products research (7 papers), Natural Antidiabetic Agents Studies (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). Jana Muchová is often cited by papers focused on Advanced Glycation End Products research (7 papers), Natural Antidiabetic Agents Studies (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). Jana Muchová collaborates with scholars based in Slovakia, United Kingdom and Germany. Jana Muchová's co-authors include Zdeňka Ďuračková, A Liptáková, Iveta Garaiová, Zuzana Chovanová, Petra Högger, Katarína Sumegová, Ingrid Žitňanová, Jana Trebatická, Tanja Grimm and Monika Dvořáková and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and Annals of the Rheumatic Diseases.

In The Last Decade

Jana Muchová

51 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jana Muchová	317	233	203	194	172	54	1.3k
Chin‐Kun Wang	375 1.2×	191 0.8×	245 1.2×	222 1.1×	80 0.5×	47	1.4k
Kieran Cooley	267 0.8×	252 1.1×	104 0.5×	166 0.9×	108 0.6×	71	1.6k
Thiago Duarte	416 1.3×	157 0.7×	94 0.5×	280 1.4×	93 0.5×	80	1.8k
Gary P. Hubbard	315 1.0×	313 1.3×	425 2.1×	332 1.7×	97 0.6×	33	1.4k
Deanna M. Minich	415 1.3×	300 1.3×	138 0.7×	272 1.4×	78 0.5×	45	1.6k
Anjali Rao	421 1.3×	151 0.6×	110 0.5×	199 1.0×	170 1.0×	72	1.7k
Suh‐Ching Yang	640 2.0×	268 1.2×	107 0.5×	408 2.1×	113 0.7×	84	1.8k
Julie Moulin	287 0.9×	387 1.7×	156 0.8×	330 1.7×	55 0.3×	44	1.4k
Abed Ghavami	496 1.6×	340 1.5×	84 0.4×	389 2.0×	125 0.7×	66	1.8k
Naseh Pahlavani	199 0.6×	182 0.8×	79 0.4×	206 1.1×	71 0.4×	70	1.1k

Countries citing papers authored by Jana Muchová

Since Specialization

Citations

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

Fields of papers citing papers by Jana Muchová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Muchová

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

All Works

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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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