Jutta Starbatty

32 total papers · 1.1k total citations
22 papers, 899 citations indexed

About

Jutta Starbatty is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jutta Starbatty has authored 22 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Surgery. Recurrent topics in Jutta Starbatty's work include Tissue Engineering and Regenerative Medicine (7 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Pluripotent Stem Cells Research (5 papers). Jutta Starbatty is often cited by papers focused on Tissue Engineering and Regenerative Medicine (7 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Pluripotent Stem Cells Research (5 papers). Jutta Starbatty collaborates with scholars based in Germany, United Kingdom and France. Jutta Starbatty's co-authors include Thomas Eschenhagen, Wilhelm Schmitz, Hasso Scholz, Joachim Neumann, Birgit Geertz, Lucie Carrier, Florian Weinberger, Arne Hansen, Heiko von der Leyen and Birgitt Stein and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Science Translational Medicine.

In The Last Decade

Jutta Starbatty

21 papers receiving 888 citations

Author Peers

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

Author						Papers	Cites
Jutta Starbatty	558	497	205	106	95	22	899
Monika Nose	609 1.1×	486 1.0×	118 0.6×	61 0.6×	138 1.5×	23	903
Matthias Dewenter	487 0.9×	300 0.6×	133 0.6×	51 0.5×	74 0.8×	26	748
Adam J.T. Schuldt	316 0.6×	315 0.6×	221 1.1×	109 1.0×	61 0.6×	22	787
Delaine K. Ceholski	533 1.0×	397 0.8×	138 0.7×	44 0.4×	73 0.8×	23	815
S. Kelly Ambler	516 0.9×	463 0.9×	147 0.7×	40 0.4×	101 1.1×	17	954
Filip Konečný	421 0.8×	121 0.2×	164 0.8×	115 1.1×	48 0.5×	35	807
Geng‐Hua Yi	408 0.7×	599 1.2×	255 1.2×	32 0.3×	71 0.7×	49	956
Vivek Rao	374 0.7×	234 0.5×	276 1.3×	45 0.4×	36 0.4×	22	892
Ka‐Wing Au	657 1.2×	248 0.5×	191 0.9×	57 0.5×	124 1.3×	31	939
Ellen Poon	597 1.1×	220 0.4×	171 0.8×	74 0.7×	174 1.8×	32	896

Countries citing papers authored by Jutta Starbatty

Since Specialization

Citations

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

Fields of papers citing papers by Jutta Starbatty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jutta Starbatty

This figure shows the co-authorship network connecting the top 25 collaborators of Jutta Starbatty. A scholar is included among the top collaborators of Jutta Starbatty 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 Jutta Starbatty. Jutta Starbatty 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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