Ute Warnecke‐Eberz

1.9k total citations
55 papers, 1.5k citations indexed

About

Ute Warnecke‐Eberz is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ute Warnecke‐Eberz has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 26 papers in Pulmonary and Respiratory Medicine and 19 papers in Molecular Biology. Recurrent topics in Ute Warnecke‐Eberz's work include Esophageal Cancer Research and Treatment (24 papers), Gastric Cancer Management and Outcomes (16 papers) and Lung Cancer Treatments and Mutations (12 papers). Ute Warnecke‐Eberz is often cited by papers focused on Esophageal Cancer Research and Treatment (24 papers), Gastric Cancer Management and Outcomes (16 papers) and Lung Cancer Treatments and Mutations (12 papers). Ute Warnecke‐Eberz collaborates with scholars based in Germany, United States and Switzerland. Ute Warnecke‐Eberz's co-authors include Elfriede Bollschweiler, Ralf Metzger, Uta Drebber, A. H. Hölscher, Stephan Baldus, Jan Brabender, Paul M. Schneider, Arnulf H. Hölscher, Hakan Alakus and B�rbel Friedrich and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Ute Warnecke‐Eberz

54 papers receiving 1.5k citations

Peers

Ute Warnecke‐Eberz
Comparison fields: 5 of 107
  • Molecular Biology 675
  • Surgery 486
  • Oncology 426
  • Pulmonary and Respiratory Medicine 392
  • Cancer Research 317
Replace Masaki Matsuoka with:
Masaki Matsuoka Japan
Sunil Sharma United States
Marie‐Jeanne Marion France
Kerry Tyson United Kingdom
Ghyslaine Martel‐Planche France
Shinji Nagata Japan
Yaowu He Australia
Shusen Wang China
Liwei Zhao China
Peiwen Yu China
Masaki Matsuoka Japan View profile →
Citations per field, relative to Ute Warnecke‐Eberz
Ute Warnecke‐Eberz · 1×
Citations per year, relative to Ute Warnecke‐Eberz
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Countries citing papers authored by Ute Warnecke‐Eberz

Since Specialization
Citations

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

Fields of papers citing papers by Ute Warnecke‐Eberz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute Warnecke‐Eberz. 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 Ute Warnecke‐Eberz. The network helps show where Ute Warnecke‐Eberz may publish in the future.

Co-authorship network of co-authors of Ute Warnecke‐Eberz

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Warnecke‐Eberz. A scholar is included among the top collaborators of Ute Warnecke‐Eberz 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 Ute Warnecke‐Eberz. Ute Warnecke‐Eberz 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 12
3 4
4 30
5 59
6 9
7 15
8 20
9 24
10 13
11 2
12 11
13 33
14
Down-regulation of Gadd45 expression is associated with tumor differentiation in non-small cell lung cancer.
28
15 8
16 27
17 52
18 39
19 105
20 64

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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