Lajos Markó

6.2k total citations · 1 hit paper
75 papers, 2.4k citations indexed

About

Lajos Markó is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Lajos Markó has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cardiology and Cardiovascular Medicine and 18 papers in Physiology. Recurrent topics in Lajos Markó's work include Gut microbiota and health (10 papers), Chronic Kidney Disease and Diabetes (9 papers) and Renin-Angiotensin System Studies (9 papers). Lajos Markó is often cited by papers focused on Gut microbiota and health (10 papers), Chronic Kidney Disease and Diabetes (9 papers) and Renin-Angiotensin System Studies (9 papers). Lajos Markó collaborates with scholars based in Germany, Hungary and United States. Lajos Markó's co-authors include Dominik N. Müller, István Wittmann, István András Szijártó, Márton Mohás, G Molnár, Boglárka Laczy, Judit Cseh, Kai M. Schmidt‐Ott, Pál Brasnyó and Ákos Mérei and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.

In The Last Decade

Lajos Markó

69 papers receiving 2.4k citations

Hit Papers

Resveratrol improves insulin sensitivity, reduces oxidati... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lajos Markó Germany 26 830 589 351 335 317 75 2.4k
Seok Joon Shin South Korea 28 738 0.9× 429 0.7× 332 0.9× 649 1.9× 389 1.2× 89 2.6k
Sungjin Chung South Korea 30 792 1.0× 388 0.7× 267 0.8× 658 2.0× 401 1.3× 100 2.5k
Yoon Sik Chang South Korea 37 1.1k 1.3× 643 1.1× 441 1.3× 951 2.8× 538 1.7× 94 3.8k
Elisa Pagnin Italy 30 1.1k 1.4× 560 1.0× 540 1.5× 264 0.8× 528 1.7× 92 2.9k
Weixia Sun China 28 847 1.0× 247 0.4× 151 0.4× 282 0.8× 190 0.6× 61 2.0k
Bradley L. Urquhart Canada 26 933 1.1× 416 0.7× 199 0.6× 273 0.8× 193 0.6× 79 2.9k
Anil Bhanudas Gaikwad India 29 908 1.1× 268 0.5× 372 1.1× 516 1.5× 376 1.2× 110 2.3k
Felipe Inserra Argentina 33 790 1.0× 717 1.2× 845 2.4× 334 1.0× 626 2.0× 88 3.1k
Cheol Whee Park South Korea 42 1.3k 1.6× 711 1.2× 482 1.4× 1.3k 4.0× 623 2.0× 170 4.9k
Zhenhua Zeng China 30 1.1k 1.4× 393 0.7× 163 0.5× 372 1.1× 87 0.3× 104 2.8k

Countries citing papers authored by Lajos Markó

Since Specialization
Citations

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

Fields of papers citing papers by Lajos Markó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lajos Markó

This figure shows the co-authorship network connecting the top 25 collaborators of Lajos Markó. A scholar is included among the top collaborators of Lajos Markó 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 Lajos Markó. Lajos Markó 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.
Snelson, Matthew, Rikeish R. Muralitharan, Chia‐Feng Liu, et al.. (2025). Gut-Heart Axis: The Role of Gut Microbiota and Metabolites in Heart Failure. Circulation Research. 136(11). 1382–1406. 8 indexed citations
2.
Meyer‐Arndt, Lil, Rebekka Rust, Judith Bellmann–Strobl, et al.. (2025). Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis. Communications Medicine. 5(1). 345–345. 1 indexed citations
3.
Jarquín‐Díaz, Víctor Hugo, Katja Hilbert, Daniel Pfirrmann, et al.. (2023). Resilience and stability of the CF- intestinal and respiratory microbiome during nutritional and exercise intervention. BMC Microbiology. 23(1). 44–44. 5 indexed citations
4.
Palmu, Joonatan, Christin S. Börschel, Alfredo Ortega‐Alonso, et al.. (2023). Gut microbiome and atrial fibrillation—results from a large population-based study. EBioMedicine. 91. 104583–104583. 37 indexed citations
5.
Zheng, Zhihuang, D Tsvetkov, Theda Ulrike Patricia Bartolomaeus, et al.. (2022). Role of TRPC6 in kidney damage after acute ischemic kidney injury. Scientific Reports. 12(1). 3038–3038. 10 indexed citations
6.
Puder, Lia, Sophie Roth, Susanna Wiegand, et al.. (2021). Cardiac Phenotype and Tissue Sodium Content in Adolescents With Defects in the Melanocortin System. The Journal of Clinical Endocrinology & Metabolism. 106(9). 2606–2616. 2 indexed citations
7.
Avery, Ellen G., Hendrik Bartolomaeus, András Maifeld, et al.. (2021). The Gut Microbiome in Hypertension. Circulation Research. 128(7). 934–950. 119 indexed citations
8.
Kaczmarczyk, Mariusz, Ulrike Löber, Karolina Skonieczna‐Żydecka, et al.. (2021). The gut microbiota is associated with the small intestinal paracellular permeability and the development of the immune system in healthy children during the first two years of life. Journal of Translational Medicine. 19(1). 177–177. 49 indexed citations
9.
Hering, Lydia, Lajos Markó, Guang Yang, et al.. (2020). α2A-Adrenoceptors Modulate Renal Sympathetic Neurotransmission and Protect against Hypertensive Kidney Disease. Journal of the American Society of Nephrology. 31(4). 783–798. 13 indexed citations
10.
Schewe, Julia, Eric Seidel, Sofia K. Forslund, et al.. (2019). Elevated aldosterone and blood pressure in a mouse model of familial hyperaldosteronism with ClC-2 mutation. Nature Communications. 10(1). 5155–5155. 31 indexed citations
11.
Nürnberg, Bernd, et al.. (2019). Renal Fibrosis, Immune Cell Infiltration and Changes of TRPC Channel Expression after Unilateral Ureteral Obstruction in Trpc6-/- Mice. Cellular Physiology and Biochemistry. 52(6). 1484–1502. 18 indexed citations
12.
Mannaa, Marwan, Lajos Markó, András Balogh, et al.. (2018). Transient Receptor Potential Vanilloid 4 Channel Deficiency Aggravates Tubular Damage after Acute Renal Ischaemia Reperfusion. Scientific Reports. 8(1). 4878–4878. 18 indexed citations
13.
Vigolo, Emilia, Lajos Markó, Christian Hinze, et al.. (2018). Canonical BMP signaling in tubular cells mediates recovery after acute kidney injury. Kidney International. 95(1). 108–122. 32 indexed citations
14.
Balogh, András, Lajos Markó, M. Németh, et al.. (2014). Gene expression profiling in PC12 cells infected with an oncolytic Newcastle disease virus strain. Virus Research. 185. 10–22. 6 indexed citations
15.
Westphal, Christina, Bastian Spallek, Anne Konkel, et al.. (2013). CYP2J2 Overexpression Protects against Arrhythmia Susceptibility in Cardiac Hypertrophy. PLoS ONE. 8(8). e73490–e73490. 53 indexed citations
16.
Wagner, Zoltán, Péter Degrell, Toshimitsu Niwa, et al.. (2011). Accumulation of renin and imidazolone in peritubular capillary endothelial cells in insulin-resistant hypertensive rats. Journal of Nephrology. 24(5). 656–664. 4 indexed citations
17.
Kisfali, Péter, Márton Mohás, Anita Maász, et al.. (2008). Apolipoprotein A5 gene APOA5*2 haplotype variant confers risk for the development of metabolic syndrome. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).
18.
Wittmann, István, G Molnár, László Wagner, et al.. (2007). Single dose of acetylsalicylic acid in patients with Type 2 diabetes mellitus and/or chronic renal failure ameliorates anaemia by decreasing the rate of neocytolysis. Acta Physiologica Hungarica. 94(1-2). 159–166. 2 indexed citations
19.
Maász, Anita, Péter Kisfali, Katalin Horvatovich, et al.. (2007). Apolipoprotein A5 T-1131C variant confers risk for metabolic syndrome. Pathology & Oncology Research. 13(3). 243–247. 50 indexed citations
20.
Molnár, G, Zoltán Wagner, Lajos Markó, et al.. (2005). Urinary ortho-tyrosine excretion in diabetes mellitus and renal failure: Evidence for hydroxyl radical production. Kidney International. 68(5). 2281–2287. 44 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

Rankless by CCL
2026