Katja Schuster
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
-
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 2
- Oncology 8
- Cancer-related Molecular Pathways 7
- Co-authors
- Pier Paolo Scaglioni (5 shared papers)Adi F. Gazdar (2 shared papers)Laura A. Sullivan (1 shared paper)Jerry W. Shay (1 shared paper)Jill E. Larsen (1 shared paper)Chunli Shao (1 shared paper)Sofia Honorio (1 shared paper)Monica Spinola (1 shared paper)
- Journals
- Molecular Cancer Research (3 papers)Cancer Research (2 papers)Cancer (1 paper)Modern Pathology (1 paper)Blood (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Katja Schuster
18 papers receiving 635 citations
Peers
Comparison fields: 5 of 60
- Oncology 362
- Cancer Research 191
- Molecular Biology 433
- Pulmonary and Respiratory Medicine 128
- Hematology 36
Countries citing papers authored by Katja Schuster
This map shows the geographic impact of Katja Schuster'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 Katja Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Schuster more than expected).
Fields of papers citing papers by Katja Schuster
This network shows the impact of papers produced by Katja Schuster. 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 Katja Schuster. The network helps show where Katja Schuster may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Schuster, 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 | 2010 | 334 | |
| 2 | 2009 | 124 | |
| 3 | 2009 | 40 | |
| 4 | 2014 | 31 | |
| 5 | 2008 | 18 | |
| 6 | 2003 | 16 | |
| 7 | 2009 | 15 | |
| 8 | 2007 | 15 | |
| 9 | 2003 | 11 | |
| 10 | 2011 | 9 | |
| 11 | 2003 | 8 | |
| 12 | 2006 | 7 | |
| 13 | 2014 | 4 | |
| 14 | 2004 | 4 | |
| 15 | 2007 | 3 | |
| 16 | 2013 | 1 | |
| 17 | 2004 | 1 | |
| 18 | 2009 | 1 |
About Katja Schuster
Katja Schuster is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Hematology and Cancer Research, having authored 18 papers that have together received 642 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (4 papers), Mast cells and histamine (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Quinazolinone synthesis and applications (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (362 citations), Cancer Research (191 citations), Molecular Biology (433 citations), Pulmonary and Respiratory Medicine (128 citations) and Hematology (36 citations). Katja Schuster has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Pier Paolo Scaglioni, Adi F. Gazdar, Laura A. Sullivan, Jerry W. Shay, Jill E. Larsen, Chunli Shao, Sofia Honorio, Monica Spinola, J. Michael DiMaio and Yang Xie. Their work appears in journals such as Molecular Cancer Research, Cancer Research, Cancer, Modern Pathology and Blood.
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.