Anika Götz

1.1k total citations
9 papers, 395 citations indexed

About

Anika Götz is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Anika Götz has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Anika Götz's work include Hormonal Regulation and Hypertension (3 papers), Genetic Associations and Epidemiology (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Anika Götz is often cited by papers focused on Hormonal Regulation and Hypertension (3 papers), Genetic Associations and Epidemiology (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Anika Götz collaborates with scholars based in Germany, Netherlands and United Kingdom. Anika Götz's co-authors include Jeanette Erdmann, Heribert Schunkert, Wolfgang Lieb, Christian Hengstenberg, Inke R. König, Stephan Holmer, Björn Mayer, Andreas Ziegler, Marcus Fischer and Patrick Linsel‐Nitschke and has published in prestigious journals such as Circulation, Hypertension and Journal of Hypertension.

In The Last Decade

Anika Götz

9 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anika Götz Germany	9	145	137	114	93	76	9	395
Jean‐Brice Marteau France	11	89 0.6×	77 0.6×	25 0.2×	160 1.7×	98 1.3×	20	482
Gentaro Watanabe Japan	9	84 0.6×	128 0.9×	39 0.3×	40 0.4×	106 1.4×	15	494
M Rossini Italy	9	47 0.3×	55 0.4×	54 0.5×	78 0.8×	45 0.6×	14	499
Tetsuya Kosaka Japan	9	84 0.6×	57 0.4×	35 0.3×	59 0.6×	24 0.3×	13	347
Chizuru Watanabe Japan	12	240 1.7×	25 0.2×	72 0.6×	196 2.1×	74 1.0×	19	594
Anuradha Krishnan United States	8	280 1.9×	63 0.5×	38 0.3×	147 1.6×	27 0.4×	9	707
Néstor Vázquez-Agra Spain	6	72 0.5×	35 0.3×	69 0.6×	233 2.5×	22 0.3×	23	687
Mulugeta Seneshaw United States	8	194 1.3×	79 0.6×	42 0.4×	237 2.5×	23 0.3×	16	720
Jean-François Thibodeau Canada	11	67 0.5×	68 0.5×	51 0.4×	189 2.0×	28 0.4×	21	454
Yasuko Nozaki Japan	8	308 2.1×	100 0.7×	38 0.3×	89 1.0×	23 0.3×	10	593

Countries citing papers authored by Anika Götz

Since Specialization

Citations

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

Fields of papers citing papers by Anika Götz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anika Götz

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

All Works

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9 of 9 papers shown

Samani, Nilesh J., Peter S. Braund, Jeanette Erdmann, et al.. (2008). The novel genetic variant predisposing to coronary artery disease in the region of the PSRC1 and CELSR2 genes on chromosome 1 associates with serum cholesterol. Journal of Molecular Medicine. 86(11). 1233–1241. 72 indexed citations

Semmler, Alexander, Michael Linnebank, Dietmar Krex, et al.. (2008). Polymorphisms of Homocysteine Metabolism Are Associated with Intracranial Aneurysms. Cerebrovascular Diseases. 26(4). 425–429. 16 indexed citations

Linsel‐Nitschke, Patrick, Anika Götz, Anja Medack, et al.. (2008). Genetic variation in the arachidonate 5-lipoxygenase-activating protein (ALOX5AP) is associated with myocardial infarction in the German population. Clinical Science. 115(10). 309–315. 29 indexed citations

Mayer, Björn, Wolfgang Lieb, Peter W. Radke, et al.. (2007). Association between arterial pressure and coronary artery calcification. Journal of Hypertension. 25(8). 1731–1738. 18 indexed citations

Lieb, Wolfgang, Björn Mayer, Inke R. König, et al.. (2007). Lack of Association Between the MEF2A Gene and Myocardial Infarction. Circulation. 117(2). 185–191. 33 indexed citations

Mayer, Björn, Wolfgang Lieb, Anika Götz, et al.. (2006). Association of a functional polymorphism in the CYP4A11 gene with systolic blood pressure in survivors of myocardial infarction. Journal of Hypertension. 24(10). 1965–1970. 43 indexed citations

Aherrahrou, Zouhair, Piotr Kaczmarek, Henrike Liptau, et al.. (2006). Ultrafine mapping of Dyscalc1 to an 80-kb chromosomal segment on chromosome 7 in mice susceptible for dystrophic calcification. Physiological Genomics. 28(2). 203–212. 21 indexed citations

Lieb, Wolfgang, Anika Götz, Inke R. König, et al.. (2005). Association of angiotensin-converting enzyme 2 (ACE2) gene polymorphisms with parameters of left ventricular hypertrophy in men. Journal of Molecular Medicine. 84(1). 88–96. 91 indexed citations

Mayer, Bjoern, Wolfgang Lieb, Anika Götz, et al.. (2005). Association of the T8590C Polymorphism of CYP4A11 With Hypertension in the MONICA Augsburg Echocardiographic Substudy. Hypertension. 46(4). 766–771. 72 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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