Ina Klebba
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 10
- Cancer Cells and Metastasis 6
- Cytokine Signaling Pathways and Interactions 2
- Cancer-related Molecular Pathways 2
-
- Breast Cancer Treatment Studies 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Charlotte KuperwasserStephen P. NaberLisa M. ArendtPatricia J. KellerStuart J. SchnittHannah GilmoreChristian KurtsThomas Brocker
- Journals
- Cancer Cell (2 papers)Breast Cancer Research (2 papers)Oncogenesis (1 paper)Journal of Cellular Physiology (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Ina Klebba
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Oncology 814
- Cancer Research 311
- Immunology 256
- Molecular Biology 745
- Genetics 191
Countries citing papers authored by Ina Klebba
This map shows the geographic impact of Ina Klebba'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 Ina Klebba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ina Klebba more than expected).
Fields of papers citing papers by Ina Klebba
This network shows the impact of papers produced by Ina Klebba. 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 Ina Klebba. The network helps show where Ina Klebba may publish in the future.
Co-authors
The 25 scholars most cited alongside Ina Klebba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Workflow for In Vivo Evaluation of Candidate Inputs and Outputs for Cell Classifier Gene Circuits | 2018 | 1 |
| 2 | 2017 | 10 | |
| 3 | 2013 | 45 | |
| 4 | 2013 | 76 | |
| 5 | 2013 | 4 | |
| 6 | 2012 | 42 | |
| 7 | 2012 | 193 | |
| 8 | 2012 | 8 | |
| 9 | 2011 | 160 | |
| 10 | 2011 | 284 | |
| 11 | 2011 | 48 | |
| 12 | Genetic Predisposition Directs Breast Cancer Phenotype by Dictating Progenitor Cell Fate | 2011 | 10 |
| 13 | 2010 | 105 | |
| 14 | 2010 | 48 | |
| 15 | 2010 | 154 | |
| 16 | 2008 | 54 | |
| 17 | 2001 | 147 | |
| 18 | 2001 | 7 | |
| 19 | 2001 | 8 |
About Ina Klebba
Ina Klebba is a scholar working on Oncology, Cancer Research, Genetics, Biophysics and Immunology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Breast Cancer Treatment Studies (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (814 citations), Cancer Research (311 citations), Immunology (256 citations), Molecular Biology (745 citations) and Genetics (191 citations). Ina Klebba has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Charlotte Kuperwasser, Stephen P. Naber, Lisa M. Arendt, Patricia J. Keller, Stuart J. Schnitt, Hannah Gilmore, Christian Kurts, Thomas Brocker, Michael A. Cannarile and Heike Brinkhaus. Their work appears in journals such as Cancer Cell, Breast Cancer Research, Oncogenesis, Journal of Cellular Physiology and ACS Synthetic Biology.
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.