Lucia Denk

432 total citations
36 papers, 367 citations indexed

About

Lucia Denk is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Lucia Denk has authored 36 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 27 papers in Surgery and 10 papers in Biomedical Engineering. Recurrent topics in Lucia Denk's work include Tissue Engineering and Regenerative Medicine (27 papers), Renal and related cancers (23 papers) and Pluripotent Stem Cells Research (10 papers). Lucia Denk is often cited by papers focused on Tissue Engineering and Regenerative Medicine (27 papers), Renal and related cancers (23 papers) and Pluripotent Stem Cells Research (10 papers). Lucia Denk collaborates with scholars based in Germany, Switzerland and Iran. Lucia Denk's co-authors include Will W. Minuth, Kanghong Hu, Hayo Castrop, Reinhard Rachel, Ralph Witzgall, Michael P. Krahn, Raimund Strehl, Thomas Weide, Hermann Pavenstädt and Ulf Schulze and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Advanced Drug Delivery Reviews.

In The Last Decade

Lucia Denk

36 papers receiving 355 citations

Peers

Lucia Denk
Comparison fields: 5 of 56
  • Molecular Biology 293
  • Surgery 210
  • Biomedical Engineering 102
  • Public Health, Environmental and Occupational Health 70
  • Pulmonary and Respiratory Medicine 47
Replace Jennifer L. Fetting with:
Jennifer L. Fetting United States
Scott C. Boyle United States
Winnie Leung United States
Rongping Luo China
Emna Ouni Belgium
George L. Streeter
Sarah N. Lipp United States
Tobias Bohnenpoll Germany
Maximilian Haas Germany
Jennifer L. Fetting United States View profile →
Citations per field, relative to Lucia Denk
Lucia Denk · 1×
Citations per year, relative to Lucia Denk
Lucia Denk · 1×

Countries citing papers authored by Lucia Denk

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Denk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Denk

This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Denk. A scholar is included among the top collaborators of Lucia Denk 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 Lucia Denk. Lucia Denk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 6
3 5
4 4
5 4
6 10
7 17
8 14
9 7
10 1
11 18
12 13
13 10
14 28
15 11
16 15
17 9
18 28
19 4
20 17

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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