Beate C. Litzenburger
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Adrian V. LeeJoan M. CarboniMarco M. GottardisMichael T. LewisVijaykumar HollaFunda Meric‐BernstamAnn M. BaileyJia Zeng
- Topics
- Cancer Genomics and Diagnostics (9 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Cancer, Hypoxia, and Metabolism (4 papers)
- Partner nations
- United StatesGermanyEstonia
In The Last Decade
Beate C. Litzenburger
22 papers receiving 755 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 421
- Oncology 329
- Cancer Research 286
- Pulmonary and Respiratory Medicine 168
- Endocrinology, Diabetes and Metabolism 131
Countries citing papers authored by Beate C. Litzenburger
This map shows the geographic impact of Beate C. Litzenburger'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 Beate C. Litzenburger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate C. Litzenburger more than expected).
Fields of papers citing papers by Beate C. Litzenburger
This network shows the impact of papers produced by Beate C. Litzenburger. 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 Beate C. Litzenburger. The network helps show where Beate C. Litzenburger may publish in the future.
Co-authorship network of co-authors of Beate C. Litzenburger
This figure shows the co-authorship network connecting the top 25 collaborators of Beate C. Litzenburger. A scholar is included among the top collaborators of Beate C. Litzenburger 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 Beate C. Litzenburger. Beate C. Litzenburger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 41 | |
| 4 | 29 | |
| 5 | 128 | |
| 6 | 7 | |
| 7 | 24 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 48 | |
| 12 | 0 | |
| 13 | 34 | |
| 14 | 16 | |
| 15 | [Tapentadol prolonged release for the treatment of severe chronic tumor pain in routine clinical practice]. | 5 |
| 16 | 109 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 33 | |
| 20 | 196 |
About Beate C. Litzenburger
Beate C. Litzenburger is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Oncology, having authored 23 papers that have together received 770 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (286 citations), Oncology (329 citations) and Endocrinology, Diabetes and Metabolism (131 citations). Beate C. Litzenburger has collaborated with scholars based in United States, Germany and Estonia. Frequent co-authors include Adrian V. Lee, Joan M. Carboni, Marco M. Gottardis, Michael T. Lewis, Vijaykumar Holla, Funda Meric‐Bernstam, Ann M. Bailey, Jia Zeng, Gordon B. Mills and Powel H. Brown. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Cancer.
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.