Verena Lieb
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
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- Prostate Cancer Treatment and Research 11
- Prostate Cancer Diagnosis and Treatment 5
- Renal cell carcinoma treatment 4
- Co-authors
- Bernd Wullich (23 shared papers)Sven Wach (22 shared papers)Helge Täubert (22 shared papers)Arndt Hartmann (16 shared papers)Rudolf Jung (9 shared papers)Frank Kunath (3 shared papers)Danijel Sikic (9 shared papers)Markus Eckstein (9 shared papers)
- Journals
- Cells (4 papers)Scientific Reports (3 papers)Cancers (3 papers)Urologic Oncology Seminars and Original Investigations (2 papers)Cancer Research (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Verena Lieb
30 papers receiving 288 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 93
- Pulmonary and Respiratory Medicine 82
- Oncology 68
- Urology 15
- Molecular Biology 118
Countries citing papers authored by Verena Lieb
This map shows the geographic impact of Verena Lieb'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 Verena Lieb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Lieb more than expected).
Fields of papers citing papers by Verena Lieb
This network shows the impact of papers produced by Verena Lieb. 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 Verena Lieb. The network helps show where Verena Lieb may publish in the future.
Co-authors
The 25 scholars most cited alongside Verena Lieb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 40 | |
| 2 | 2022 | 31 | |
| 3 | 2020 | 27 | |
| 4 | 2017 | 21 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2016 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 3 |
About Verena Lieb
Verena Lieb is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Oncology and Cancer Research, having authored 31 papers that have together received 290 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Bladder and Urothelial Cancer Treatments (9 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (5 papers), Renal cell carcinoma treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), MicroRNA in disease regulation (3 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Cancer Research (93 citations), Pulmonary and Respiratory Medicine (82 citations), Oncology (68 citations), Urology (15 citations) and Molecular Biology (118 citations). Verena Lieb has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Bernd Wullich, Sven Wach, Helge Täubert, Arndt Hartmann, Rudolf Jung, Frank Kunath, Danijel Sikic, Markus Eckstein, Robert Stöhr and Mariona Pinart. Their work appears in journals such as Cells, Scientific Reports, Cancers, Urologic Oncology Seminars and Original Investigations and Cancer Research.
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.