Heike Wanka

39 total papers · 512 total citations
27 papers, 336 citations indexed

About

Heike Wanka is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Heike Wanka has authored 27 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Heike Wanka's work include Renin-Angiotensin System Studies (13 papers), Pancreatic function and diabetes (9 papers) and Hormonal Regulation and Hypertension (8 papers). Heike Wanka is often cited by papers focused on Renin-Angiotensin System Studies (13 papers), Pancreatic function and diabetes (9 papers) and Hormonal Regulation and Hypertension (8 papers). Heike Wanka collaborates with scholars based in Germany, Czechia and United Kingdom. Heike Wanka's co-authors include Jörg Peters, Beate Kuttler, Barbara Peters, Sigrid Hoffmann, Rainer Rettig, Olaf Grisk, Arndt Hartmann, Jan Lüdemann, John J. Mullins and Gerd Lorenz and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Biochemical Pharmacology.

In The Last Decade

Heike Wanka

27 papers receiving 328 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Heike Wanka	184	151	144	75	48	27	336
Lu Fu	116 0.6×	149 1.0×	130 0.9×	31 0.4×	54 1.1×	20	390
Rogayah Carroll	124 0.7×	114 0.8×	142 1.0×	65 0.9×	13 0.3×	18	354
Kuichang Yuan	167 0.9×	115 0.8×	116 0.8×	26 0.3×	19 0.4×	23	360
Mónica Flores‐Muñoz	195 1.1×	118 0.8×	121 0.8×	23 0.3×	59 1.2×	21	371
J. Hywel Thomas	84 0.5×	101 0.7×	104 0.7×	86 1.1×	12 0.3×	30	293
Christian U. Oeing	143 0.8×	82 0.5×	173 1.2×	60 0.8×	16 0.3×	17	371
Katie A. McCrink	131 0.7×	85 0.6×	206 1.4×	28 0.4×	17 0.4×	22	326
Mamiko Tsugawa	56 0.3×	215 1.4×	77 0.5×	70 0.9×	17 0.4×	21	324
T. C. Wascher	108 0.6×	105 0.7×	57 0.4×	70 0.9×	19 0.4×	21	400
David Y. Cheng	92 0.5×	83 0.5×	163 1.1×	60 0.8×	11 0.2×	18	379

Countries citing papers authored by Heike Wanka

Since Specialization

Citations

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

Fields of papers citing papers by Heike Wanka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heike Wanka

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

All Works

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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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