Michal Anděl

3.0k total citations
118 papers, 2.2k citations indexed

About

Michal Anděl is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Michal Anděl has authored 118 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 33 papers in Surgery and 30 papers in Molecular Biology. Recurrent topics in Michal Anděl's work include Diabetes and associated disorders (32 papers), Pancreatic function and diabetes (23 papers) and Metabolism, Diabetes, and Cancer (12 papers). Michal Anděl is often cited by papers focused on Diabetes and associated disorders (32 papers), Pancreatic function and diabetes (23 papers) and Metabolism, Diabetes, and Cancer (12 papers). Michal Anděl collaborates with scholars based in Czechia, Denmark and Poland. Michal Anděl's co-authors include Ján Trnka, Moustafa Elkalaf, František Duška, Jana Tůmová, Jana Potočková, Petr Waldauf, Adéla Krajčová, Petr Kučera, Pavel Kraml and K Roubalová and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michal Anděl

114 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Anděl Czechia 28 598 595 484 481 449 118 2.2k
Emil Chuang United States 24 478 0.8× 624 1.0× 525 1.1× 452 0.9× 419 0.9× 56 2.4k
Jaana Hartiala United States 29 600 1.0× 396 0.7× 686 1.4× 244 0.5× 340 0.8× 58 2.5k
Daisy Crispim Brazil 32 996 1.7× 608 1.0× 448 0.9× 567 1.2× 640 1.4× 131 2.9k
Kalliopi Kotsa Greece 28 410 0.7× 375 0.6× 478 1.0× 969 2.0× 523 1.2× 165 2.7k
Antonio Mancini Italy 29 788 1.3× 500 0.8× 217 0.4× 699 1.5× 328 0.7× 154 3.0k
Nuala Murphy Ireland 30 457 0.8× 514 0.9× 547 1.1× 1.1k 2.2× 234 0.5× 81 2.5k
Mary Ann Emanuele United States 30 470 0.8× 323 0.5× 245 0.5× 1.0k 2.1× 369 0.8× 112 2.8k
Moncef Feki Tunisia 28 565 0.9× 335 0.6× 367 0.8× 377 0.8× 543 1.2× 253 3.1k
D. Agnusdei Italy 30 949 1.6× 619 1.0× 570 1.2× 325 0.7× 209 0.5× 83 2.9k
Ken‐ichi Aihara Japan 29 813 1.4× 453 0.8× 347 0.7× 682 1.4× 325 0.7× 117 2.8k

Countries citing papers authored by Michal Anděl

Since Specialization
Citations

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

Fields of papers citing papers by Michal Anděl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Anděl

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Anděl. A scholar is included among the top collaborators of Michal Anděl 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 Michal Anděl. Michal Anděl 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.
Gojda, Jan, Alexander Lang, Jana Potočková, et al.. (2023). Severe COVID-19 associated hyperglycemia is caused by beta cell dysfunction: a prospective cohort study. Nutrition and Diabetes. 13(1). 11–11. 6 indexed citations
2.
Procházka, Bohumír, et al.. (2018). Prevalence of malnutrition risk among institutionalized elderly from North Bohemia is higher than among those in the Capital City of Prague, Czech Republic. Central European Journal of Public Health. 26(2). 111–117. 4 indexed citations
3.
Heneberg, Petr, et al.. (2018). Autoantibodies against ZnT8 are rare in Central-European LADA patients and absent in MODY patients, including those positive for other autoantibodies. Journal of Diabetes and its Complications. 33(1). 46–52. 7 indexed citations
4.
Šedo, Aleksi, et al.. (2016). Dynamic Change of Focal Fatty Sparing in Non-Alcoholic Fatty Liver Disease after Treatment with Sitagliptin. SHILAP Revista de lepidopterología. 2(3). E98–E99. 1 indexed citations
5.
Hořínek, Aleš, et al.. (2016). Serum microRNA-196 and microRNA-200 in pancreatic ductal adenocarcinoma of patients with diabetes mellitus. Pancreatology. 16(5). 839–843. 17 indexed citations
6.
Tůmová, Jana, Michal Anděl, & Ján Trnka. (2016). Excess of Free Fatty Acids as a Cause of Metabolic Dysfunction in Skeletal Muscle. Physiological Research. 65(2). 193–207. 117 indexed citations
7.
Heneberg, Petr, Tohru Yorifuji, Galia Gat‐Yablonski, et al.. (2015). Low Frequencies of Autoimmunity-Associated <b><i>PTPN22</i></b> Polymorphisms in MODY Patients, Including Those Transiently Expressing Islet Cell Autoantibodies. International Archives of Allergy and Immunology. 166(3). 189–198. 7 indexed citations
8.
Kraml, Pavel, et al.. (2012). The Oxidized Low-Density Lipoprotein/ β2-Glycoprotein I Complex Is Associated with Abdominal Obesity in Healthy Middle-Aged Men. Annals of Nutrition and Metabolism. 62(1). 7–13. 4 indexed citations
9.
Kraml, Pavel, L Fialová, Martin Vejražka, et al.. (2011). Iron stores are associated with asymptomatic atherosclerosis in healthy men of primary prevention. European Journal of Clinical Investigation. 41(8). 846–853. 27 indexed citations
10.
Teplan, Vladimı́r, et al.. (2009). Nutritional Consequences of Renal Transplantation. Journal of Renal Nutrition. 19(1). 95–100. 22 indexed citations
11.
12.
Novota, Peter, M Černá, Katarína Kološtová, et al.. (2007). KCNJ11 E23K Polymorphism and Diabetes Mellitus with Adult Onset in Czech Patients. Folia Biologica. 53(5). 173–175. 22 indexed citations
13.
14.
Novota, Peter, Marie Černá, Katarína Kološtová, et al.. (2004). Diabetes mellitus in adults: association of HLA DRB1 and DQB1 diabetes risk alleles with GADab presence and C-peptide secretion. Immunology Letters. 95(2). 229–232. 4 indexed citations
15.
Marhol, Petr, M Kršiak, Richard Rokyta, et al.. (2003). Oxidative stress in the brain tissue of laboratory mice with acute post insulin hypoglycemia.. Physiological Research. 131–135. 49 indexed citations
16.
Hansen, Sara K., Marcelina Párrizas, Štěpánka Průhová, et al.. (2002). Genetic evidence that HNF-1α–dependent transcriptional control of HNF-4α is essential for human pancreatic β cell function. Journal of Clinical Investigation. 110(6). 827–833. 77 indexed citations
17.
Hansen, Sara K., Marcelina Párrizas, Štěpánka Průhová, et al.. (2002). Genetic evidence that HNF-1α–dependent transcriptional control of HNF-4α is essential for human pancreatic β cell function. Journal of Clinical Investigation. 110(6). 827–833. 4 indexed citations
18.
Veselá, Kamila, et al.. (2002). Methionine-loading test: evaluation of adverse effects and safety in an epidemiological study. Clinical Nutrition. 21(2). 151–156. 15 indexed citations
19.
Horáček, Jiřı́, et al.. (1999). The relationship between central serotonergic activity and insulin sensitivity in healthy volunteers. Psychoneuroendocrinology. 24(8). 785–797. 46 indexed citations
20.

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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