Vera Tiedje

70 total papers · 730 total citations
24 papers, 506 citations indexed

About

Vera Tiedje is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Vera Tiedje has authored 24 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Vera Tiedje's work include Thyroid Cancer Diagnosis and Treatment (15 papers), Neuroendocrine Tumor Research Advances (6 papers) and BRCA gene mutations in cancer (4 papers). Vera Tiedje is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (15 papers), Neuroendocrine Tumor Research Advances (6 papers) and BRCA gene mutations in cancer (4 papers). Vera Tiedje collaborates with scholars based in Germany, United States and Austria. Vera Tiedje's co-authors include Dagmar Führer, Martin Stuschke, James A. Fagin, Kurt Werner Schmid, Henning Dralle, Frank Weber, Saskia Ting, Laura Moss, Lars C. Moeller and Denise Zwanziger and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Clinical Endocrinology & Metabolism and Nature Reviews Endocrinology.

In The Last Decade

Vera Tiedje

23 papers receiving 489 citations

Author Peers

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

Author Last Decade Papers Cites
Vera Tiedje 330 202 125 85 72 24 506
Vlasta Sýkorová 379 1.1× 140 0.7× 107 0.9× 127 1.5× 51 0.7× 18 494
Talia L. Fuchs 200 0.6× 213 1.1× 80 0.6× 58 0.7× 90 1.3× 26 501
Inés Castro 378 1.1× 245 1.2× 166 1.3× 98 1.2× 63 0.9× 16 557
Rita Domingues 352 1.1× 199 1.0× 156 1.2× 114 1.3× 52 0.7× 30 572
Eric Casal Ide 330 1.0× 104 0.5× 130 1.0× 74 0.9× 57 0.8× 18 485
Ann W. Gramza 204 0.6× 198 1.0× 134 1.1× 80 0.9× 180 2.5× 22 547
Margarida M. Moura 457 1.4× 214 1.1× 161 1.3× 169 2.0× 81 1.1× 17 588
Anastasios Sofiadis 346 1.0× 150 0.7× 278 2.2× 103 1.2× 55 0.8× 14 610
Federica Panebianco 381 1.2× 181 0.9× 142 1.1× 138 1.6× 114 1.6× 16 587
Alessia Tacito 477 1.4× 184 0.9× 125 1.0× 147 1.7× 76 1.1× 20 599

Countries citing papers authored by Vera Tiedje

Since Specialization
Citations

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

Fields of papers citing papers by Vera Tiedje

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Tiedje

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