Vida Ungerer

20 total papers · 1.4k total citations
18 papers, 949 citations indexed

About

Vida Ungerer is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Vida Ungerer has authored 18 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 16 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Vida Ungerer's work include Cancer Genomics and Diagnostics (17 papers), Single-cell and spatial transcriptomics (8 papers) and Molecular Biology Techniques and Applications (6 papers). Vida Ungerer is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Single-cell and spatial transcriptomics (8 papers) and Molecular Biology Techniques and Applications (6 papers). Vida Ungerer collaborates with scholars based in Germany, South Africa and Israel. Vida Ungerer's co-authors include Abel J. Bronkhorst, Stefan Holdenrieder, Daniel Schwendenwein, Christoph W. Sensen, Klaus Schliep, Mariëlle Herzog, Priscilla Van den Ackerveken, Frank Diehl, Michael Fleischhacker and Yuval Dor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Vida Ungerer

18 papers receiving 936 citations

Hit Papers

The emerging role of cell... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Vida Ungerer 713 559 217 169 132 18 949
Piet J. Pretorius 704 1.0× 588 1.1× 232 1.1× 172 1.0× 136 1.0× 22 1.0k
Noah C. Welker 568 0.8× 544 1.0× 174 0.8× 156 0.9× 95 0.7× 10 859
MICHAEL S. KOPRESKI 473 0.7× 443 0.8× 282 1.3× 110 0.7× 168 1.3× 15 810
Cathy Ratcliffe 531 0.7× 562 1.0× 311 1.4× 449 2.7× 143 1.1× 12 1.1k
Ladan Fazlollahi 370 0.5× 394 0.7× 320 1.5× 266 1.6× 86 0.7× 21 1.1k
Roel Janssen 436 0.6× 446 0.8× 213 1.0× 125 0.7× 152 1.2× 21 870
Markus Sprenger‐Haussels 465 0.7× 642 1.1× 136 0.6× 101 0.6× 65 0.5× 20 915
Julian Schardt 392 0.5× 469 0.8× 368 1.7× 114 0.7× 67 0.5× 26 1.1k
Kristen M. Turner 455 0.6× 568 1.0× 182 0.8× 59 0.3× 83 0.6× 24 931
Ruping Sun 617 0.9× 611 1.1× 255 1.2× 115 0.7× 121 0.9× 20 1.0k

Countries citing papers authored by Vida Ungerer

Since Specialization
Citations

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

Fields of papers citing papers by Vida Ungerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vida Ungerer

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