Tina Wiest

25 total papers · 1.2k total citations
11 papers, 561 citations indexed

About

Tina Wiest is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Tina Wiest has authored 11 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Tina Wiest's work include Congenital heart defects research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Connective tissue disorders research (3 papers). Tina Wiest is often cited by papers focused on Congenital heart defects research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Connective tissue disorders research (3 papers). Tina Wiest collaborates with scholars based in Germany, United States and Switzerland. Tina Wiest's co-authors include Christel Enders, Franz X. Bosch, Christa Flechtenmacher, Elisabeth Schwarz, Caspar Grond‐Ginsbach, Armin Grau, Ulrich Mansmann, Markus Schwaninger, Gerd U. Auffarth and Marius Hartmann and has published in prestigious journals such as Stroke, Oncogene and Cell and Tissue Research.

In The Last Decade

Tina Wiest

11 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
Tina Wiest	221	174	169	145	125	11	561
Selgai Haidari	41 0.2×	29 0.2×	168 1.0×	117 0.8×	83 0.7×	16	530
Theresa A. Gurney	63 0.3×	27 0.2×	121 0.7×	207 1.4×	145 1.2×	10	547
Kimberly Hoang	113 0.5×	103 0.6×	158 0.9×	62 0.4×	226 1.8×	14	605
Jennifer Moy	128 0.6×	41 0.2×	128 0.8×	403 2.8×	72 0.6×	13	643
H. Jeffrey Kim	81 0.4×	131 0.8×	137 0.8×	166 1.1×	56 0.4×	23	608
Rubén Cabanillas	134 0.6×	138 0.8×	179 1.1×	118 0.8×	91 0.7×	18	691
Andrew Parker	49 0.2×	27 0.2×	135 0.8×	138 1.0×	49 0.4×	15	518
Junji Xu	67 0.3×	15 0.1×	165 1.0×	45 0.3×	94 0.8×	19	542
Melissa Thys	327 1.5×	35 0.2×	79 0.5×	67 0.5×	33 0.3×	15	511
John W. Grant	38 0.2×	54 0.3×	81 0.5×	175 1.2×	215 1.7×	13	690

Countries citing papers authored by Tina Wiest

Since Specialization

Citations

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

Fields of papers citing papers by Tina Wiest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Wiest

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