Ulrike Witt

36 total papers · 1.3k total citations
12 papers, 220 citations indexed

About

Ulrike Witt is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ulrike Witt has authored 12 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Ulrike Witt's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Ulrike Witt is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Ulrike Witt collaborates with scholars based in Germany, United States and China. Ulrike Witt's co-authors include A. Kornberg, K. Thrum, Helmut Frieß, Helmut Friess, Peter Büchler, Andrea Tannapfel, D Gottschild, Katharina Müller, Moritz Wildgruber and Katharina Mueller and has published in prestigious journals such as PLoS ONE, Scientific Reports and Alimentary Pharmacology & Therapeutics.

In The Last Decade

Ulrike Witt

12 papers receiving 217 citations

Author Peers

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

Author Last Decade Papers Cites
Ulrike Witt 179 125 97 36 34 12 220
Roizar Rosales 282 1.6× 182 1.5× 100 1.0× 29 0.8× 27 0.8× 12 329
Răzvan Grigorie 113 0.6× 81 0.6× 59 0.6× 54 1.5× 33 1.0× 18 167
Stéphane Corbinais 82 0.5× 79 0.6× 70 0.7× 44 1.2× 33 1.0× 16 203
Jasmijn W. Selten 140 0.8× 250 2.0× 139 1.4× 14 0.4× 23 0.7× 12 311
Luigi Addario 276 1.5× 56 0.4× 219 2.3× 36 1.0× 17 0.5× 12 327
Thomas Uguen 95 0.5× 101 0.8× 45 0.5× 47 1.3× 9 0.3× 11 176
Eung Chang Lee 176 1.0× 235 1.9× 64 0.7× 57 1.6× 19 0.6× 21 295
Taylor K. Blair 175 1.0× 91 0.7× 137 1.4× 164 4.6× 10 0.3× 11 302
Joan Fabregat Prous 98 0.5× 98 0.8× 59 0.6× 56 1.6× 15 0.4× 12 166
Hiroyasu Ina 186 1.0× 139 1.1× 137 1.4× 54 1.5× 21 0.6× 11 324

Countries citing papers authored by Ulrike Witt

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Witt

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Witt. A scholar is included among the top collaborators of Ulrike Witt 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 Ulrike Witt. Ulrike Witt 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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2026