Tina Wiest

1.2k total citations
11 papers, 563 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 563 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 Connective tissue disorders research (3 papers), Congenital heart defects research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Tina Wiest is often cited by papers focused on Connective tissue disorders research (3 papers), Congenital heart defects research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Tina Wiest collaborates with scholars based in Germany, United States and Switzerland. Tina Wiest's co-authors include Elisabeth Schwarz, Christa Flechtenmacher, Franz X. Bosch, Christel Enders, Caspar Grond‐Ginsbach, Armin Grau, Ulrich Mansmann, Gerd U. Auffarth, Markus Schwaninger 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 550 citations

Peers

Tina Wiest
Comparison fields: 5 of 69
  • Otorhinolaryngology 221
  • Epidemiology 175
  • Molecular Biology 169
  • Oncology 145
  • Surgery 125
Replace H. Jeffrey Kim with:
H. Jeffrey Kim United States
Younan Liu Canada
Moyi Sun China
Kai Dämmert Finland
Yunong Wu China
Robert Böscke Germany
Tanzina Chowdhury United Kingdom
Yoshiharu Kitani Japan
Carine Strup-Perrot France
Zhaochen Shan China
H. Jeffrey Kim United States View profile →
Citations per field, relative to Tina Wiest
Tina Wiest · 1×
Citations per year, relative to Tina Wiest
Tina Wiest · 1×

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

11 of 11 papers shown
# Work Indexed citations
1 23
2 2
3 47
4 40
5 20
6 2
7 1
8 9
9 1
10 117
11 301

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026