M. Zeman

39.8k total citations
77 papers, 1.1k citations indexed

About

M. Zeman is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, M. Zeman has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 18 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Nutrition and Dietetics. Recurrent topics in M. Zeman's work include Fatty Acid Research and Health (16 papers), Cancer, Lipids, and Metabolism (13 papers) and Diet, Metabolism, and Disease (10 papers). M. Zeman is often cited by papers focused on Fatty Acid Research and Health (16 papers), Cancer, Lipids, and Metabolism (13 papers) and Diet, Metabolism, and Disease (10 papers). M. Zeman collaborates with scholars based in Czechia, Russia and Canada. M. Zeman's co-authors include Zák A, Marek Vecka, E Tvrzická, Barbora Staňková, Jaroslav Macášek, Roman Jirák, Lucie Vávřová, M Jáchymová, Jana Kodydková and Edward M. Sellers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and American Journal of Transplantation.

In The Last Decade

M. Zeman

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Zeman Czechia 18 263 244 216 197 195 77 1.1k
Necat Yılmaz Türkiye 21 136 0.5× 238 1.0× 155 0.7× 128 0.6× 95 0.5× 85 1.2k
Tharmarajan Ramprasath United States 21 137 0.5× 614 2.5× 268 1.2× 153 0.8× 132 0.7× 40 1.5k
Masayo Yamada Japan 24 124 0.5× 296 1.2× 204 0.9× 393 2.0× 238 1.2× 62 1.4k
Cecilia Nilsson Sweden 21 164 0.6× 226 0.9× 274 1.3× 323 1.6× 115 0.6× 38 1.5k
Meilin Zhang China 28 125 0.5× 586 2.4× 315 1.5× 181 0.9× 242 1.2× 86 2.0k
Katrin Borucki Germany 19 145 0.6× 233 1.0× 148 0.7× 104 0.5× 167 0.9× 50 997
Corey Giles Australia 21 131 0.5× 569 2.3× 395 1.8× 166 0.8× 169 0.9× 50 1.5k
Wen Dai China 23 224 0.9× 466 1.9× 236 1.1× 249 1.3× 292 1.5× 85 1.4k
Amanda Della Giustina Brazil 19 165 0.6× 432 1.8× 114 0.5× 381 1.9× 197 1.0× 32 1.5k
Sabine Kossmann Germany 20 182 0.7× 681 2.8× 575 2.7× 339 1.7× 174 0.9× 36 2.3k

Countries citing papers authored by M. Zeman

Since Specialization
Citations

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

Fields of papers citing papers by M. Zeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Zeman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Zeman. A scholar is included among the top collaborators of M. Zeman 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 M. Zeman. M. Zeman 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.
Macášek, Jaroslav, Barbora Staňková, Zák A, et al.. (2024). Associations of plasma phospholipid cis-vaccenic acid with insulin resistance markers in non-diabetic men with hyperlipidemia. Nutrition and Diabetes. 14(1). 73–73. 2 indexed citations
2.
Macášek, Jaroslav, M. Zeman, Zák A, Barbora Staňková, & Marek Vecka. (2021). Altered Indices of Fatty Acid Elongases ELOVL6, ELOVL5, and ELOVL2 Activities in Patients with Impaired Fasting Glycemia. Metabolic Syndrome and Related Disorders. 19(7). 386–392. 7 indexed citations
3.
Vecka, Marek, et al.. (2020). Associations of Serum Uric Acid with Endogenous Cholesterol Synthesis Indices in Men with High Cardiometabolic Risk. Metabolic Syndrome and Related Disorders. 18(4). 212–218. 2 indexed citations
4.
Staňková, Barbora, Jaroslav Macášek, M. Zeman, et al.. (2019). Polymorphisms rs2167444 and rs508384 in the SCD1 Gene Are Linked with High ApoB-48 Levels and Adverse Profile of Cardiometabolic Risk Factors. Folia Biologica. 65(4). 159–169. 3 indexed citations
5.
Zeman, M., Marek Vecka, Michal Burda, et al.. (2017). Fatty Acid Composition of Plasma Phosphatidylcholine Determines Body Fat Parameters in Subjects with Metabolic Syndrome-Related Traits. Metabolic Syndrome and Related Disorders. 15(7). 371–378. 6 indexed citations
6.
Zeman, M., Marek Vecka, F Perlı́k, et al.. (2016). Pleiotropic effects of niacin: Current possibilities for its clinical use. Acta Pharmaceutica. 66(4). 449–469. 27 indexed citations
7.
Zeman, M., Jaroslav Macášek, Michal Burda, et al.. (2016). Chronic pancreatitis and the composition of plasma phosphatidylcholine fatty acids. Prostaglandins Leukotrienes and Essential Fatty Acids. 108. 38–44. 11 indexed citations
8.
Zeman, M., et al.. (2014). Economic Impact of Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco) production in the Czech Republic. Journal of Forest Science. 60(7). 297–306. 12 indexed citations
9.
A, Zák, et al.. (2014). Xanthomas: Clinical and pathophysiological relations. Biomedical Papers. 158(2). 181–188. 100 indexed citations
10.
Vávřová, Lucie, Jana Kodydková, M. Zeman, et al.. (2013). Altered Activities of Antioxidant Enzymes in Patients with Metabolic Syndrome. Obesity Facts. 6(1). 39–47. 40 indexed citations
11.
Zeman, M., Roman Jirák, Marek Vecka, Jiří Raboch, & Zák A. (2012). N-3 polyunsaturated fatty acids in psychiatric diseases: mechanisms and clinical data.. PubMed. 33(8). 736–48. 10 indexed citations
12.
Fuchs, Ota, et al.. (2010). CCAAT/enhancer-binding protein alpha (CEBPA) polymorphisms and mutations in healthy individuals and in patients with peripheral artery disease, ischaemic heart disease and hyperlipidaemia.. PubMed. 56(2). 51–7. 6 indexed citations
13.
14.
Kodydková, Jana, Lucie Vávřová, M. Zeman, et al.. (2009). Antioxidative enzymes and increased oxidative stress in depressive women. Clinical Biochemistry. 42(13-14). 1368–1374. 159 indexed citations
15.
A, Zák, M Jáchymová, E Tvrzická, et al.. (2008). The influence of polymorphism of −493G/T MTP gene promoter and metabolic syndrome on lipids, fatty acids and oxidative stress. The Journal of Nutritional Biochemistry. 19(9). 634–641. 18 indexed citations
16.
17.
Malíková, Ivana, et al.. (2007). Inflammatory response in patients undergoing hip surgery due to osteoarthrosis or different types of hip fractures. Osteoarthritis and Cartilage. 16(1). 26–33. 17 indexed citations
18.
Zeman, M., et al.. (2002). Gender Differences in Tobacco Smoking: Higher Relative Exposure to Smoke Than Nicotine in Women. Journal of Women s Health & Gender-Based Medicine. 11(2). 147–153. 58 indexed citations
19.
A, Zák, et al.. (2002). Effects of Selected Anthropometric Parameters on Plasma Lipoproteins, Fatty Acid Composition, and Lipoperoxidation. Annals of the New York Academy of Sciences. 967(1). 522–527. 1 indexed citations
20.
A, Zák, et al.. (1989). Changes in the glucose tolerance and insulin secretion in hypertriglyceridemia: effects of dietary n-3 fatty acids. Nutrition reports international. 3 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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