Martina Lukasova

1.5k total citations · 1 hit paper
13 papers, 1.2k citations indexed

About

Martina Lukasova is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Martina Lukasova has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Martina Lukasova's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Liver Diseases and Immunity (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Martina Lukasova is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Liver Diseases and Immunity (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Martina Lukasova collaborates with scholars based in Germany, Belgium and United States. Martina Lukasova's co-authors include Stefan Offermanns, Andreas Gille, Angela Wirth, Nina Wettschureck, Camille Malaval, Jukka Kero, Sorin Tunaru, Julien Hanson, Erich F. Greiner and Zoltán Benyó and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Martina Lukasova

13 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

G12-G13–LARG–mediated signaling in vascular smooth muscle is required for salt-induced hypertension

2007 511 citations Angela Wirth, Zoltán Benyó et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martina Lukasova Germany	10	617	279	182	165	155	13	1.2k
Josefin Skogsberg Sweden	20	666 1.1×	308 1.1×	154 0.8×	121 0.7×	188 1.2×	30	1.1k
Bardia Askari United States	15	802 1.3×	175 0.6×	208 1.1×	115 0.7×	105 0.7×	20	1.3k
Marie-Ann Ewart United Kingdom	19	515 0.8×	199 0.7×	208 1.1×	174 1.1×	154 1.0×	28	1.0k
Adrienne Laskowski Australia	14	868 1.4×	207 0.7×	122 0.7×	135 0.8×	126 0.8×	23	1.4k
Venkanna Pasham Germany	15	603 1.0×	250 0.9×	139 0.8×	109 0.7×	183 1.2×	25	1.1k
Mauro Torti Italy	25	492 0.8×	240 0.9×	113 0.6×	242 1.5×	102 0.7×	39	1.4k
Sara S. Roscioni Netherlands	17	554 0.9×	232 0.8×	310 1.7×	138 0.8×	277 1.8×	26	1.3k
Ki-Up Lee South Korea	17	402 0.7×	276 1.0×	244 1.3×	100 0.6×	116 0.7×	25	929
Bing‐Mei Zhu China	22	553 0.9×	172 0.6×	88 0.5×	228 1.4×	94 0.6×	72	1.4k
Qing Zhou China	23	546 0.9×	125 0.4×	189 1.0×	240 1.5×	196 1.3×	52	1.2k

Countries citing papers authored by Martina Lukasova

Since Specialization

Citations

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

Fields of papers citing papers by Martina Lukasova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Lukasova

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

All Works

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13 of 13 papers shown

Lukasova, Martina, et al.. (2024). Onion-skin type of periductular sclerosis in mice with genetic deletion of biliary kindlin-2 as tight junction stabilizer: a pilot experiment indicating a primary sclerosing cholangitis (PSC) phenotype. 2 indexed citations

Lukasova, Martina, et al.. (2024). Reply to “comment on ‘onion-skin type of periductular sclerosis in mice with genetic deletion of biliary kindlin-2 as tight junction stabilizer: a pilot experiment indicating a primary sclerosing cholangitis (PSC) phenotype’”. 4(4). 1 indexed citations

Stremmel, Wolfgang, Martina Lukasova, & Ralf Weiskirchen. (2021). The neglected biliary mucus and its phosphatidylcholine content: a putative player in pathogenesis of primary cholangitis—a narrative review article. Annals of Translational Medicine. 9(8). 738–738. 5 indexed citations

Takefuji, Mikito, Angela Wirth, Martina Lukasova, et al.. (2012). G ₁₃ -Mediated Signaling Pathway Is Required for Pressure Overload–Induced Cardiac Remodeling and Heart Failure. Circulation. 126(16). 1972–1982. 50 indexed citations

Lukasova, Martina, Camille Malaval, Andreas Gille, Jukka Kero, & Stefan Offermanns. (2011). Nicotinic acid inhibits progression of atherosclerosis in mice through its receptor GPR109A expressed by immune cells. Journal of Clinical Investigation. 121(3). 1163–1173. 209 indexed citations

Lukasova, Martina, Julien Hanson, Sorin Tunaru, & Stefan Offermanns. (2011). Nicotinic acid (niacin): new lipid-independent mechanisms of action and therapeutic potentials. Trends in Pharmacological Sciences. 32(12). 700–707. 77 indexed citations

Hanson, Julien, Andreas Gille, Martina Lukasova, et al.. (2010). Nicotinic acid– and monomethyl fumarate–induced flushing involves GPR109A expressed by keratinocytes and COX-2–dependent prostanoid formation in mice. Journal of Clinical Investigation. 120(8). 2910–2919. 165 indexed citations

Plaisance, Eric P., Martina Lukasova, Stefan Offermanns, et al.. (2009). Niacin stimulates adiponectin secretion through the GPR109A receptor. American Journal of Physiology-Endocrinology and Metabolism. 296(3). E549–E558. 100 indexed citations

Wirth, Angela, Zoltán Benyó, Martina Lukasova, et al.. (2007). G12-G13–LARG–mediated signaling in vascular smooth muscle is required for salt-induced hypertension. Nature Medicine. 14(1). 64–68. 511 indexed citations breakdown →

10.

Liu, Xiuxin, et al.. (2006). Kallidin‐like peptide mediates the cardioprotective effect of the ACE inhibitor captopril against ischaemic reperfusion injury of rat heart. British Journal of Pharmacology. 148(6). 825–832. 15 indexed citations

11.

Liu, Xiuxin, et al.. (2005). A kallidin‐like peptide is a protective cardiac kinin, released by ischaemic preconditioning of rat heart. British Journal of Pharmacology. 146(7). 952–957. 10 indexed citations

12.

Hilgenfeldt, Ulrich, et al.. (2005). Rat tissue kallikrein releases a kallidin‐like peptide from rat low‐molecular‐weight kininogen. British Journal of Pharmacology. 146(7). 958–963. 15 indexed citations

13.

Lukasova, Martina, et al.. (2002). Regulatory effects of salt diet on renal renin–angiotensin–aldosterone, and kallikrein–kinin systems. International Immunopharmacology. 2(13-14). 1975–1980. 11 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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