Katja Schuster
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Oncology 8
- Cancer-related Molecular Pathways 7
-
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Pier Paolo Scaglioni (5 shared papers)Adi F. Gazdar (2 shared papers)Andrea Rabellino (3 shared papers)John Michael DiMaio (1 shared paper)Monica Spinola (1 shared paper)James P. Sullivan (1 shared paper)Jerry W. Shay (1 shared paper)Ignacio Ivan Wistuba (1 shared paper)
- Journals
- Molecular Cancer Research (3 papers)Cancer Research (2 papers)Disease Models & Mechanisms (1 paper)The FASEB Journal (1 paper)Modern Pathology (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Katja Schuster
19 papers receiving 674 citations
Peers
Comparison fields: 5 of 61
- Oncology 344
- Cancer Research 160
- Molecular Biology 402
- Pulmonary and Respiratory Medicine 110
- Hematology 38
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 | 357 | |
| 2 | 2009 | 129 | |
| 3 | 2009 | 43 | |
| 4 | 2014 | 37 | |
| 5 | 2003 | 17 | |
| 6 | 2008 | 17 | |
| 7 | 2007 | 16 | |
| 8 | 2009 | 16 | |
| 9 | 2011 | 13 | |
| 10 | 2003 | 11 | |
| 11 | 2003 | 9 | |
| 12 | 2006 | 7 | |
| 13 | 2014 | 4 | |
| 14 | 2004 | 3 | |
| 15 | 2007 | 3 | |
| 16 | 2004 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2013 | 1 |
About Katja Schuster
Katja Schuster is a scholar working on Oncology, Hematology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 686 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Mast cells and histamine (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Sarcoma Diagnosis and Treatment (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Oncology (344 citations), Cancer Research (160 citations), Molecular Biology (402 citations), Pulmonary and Respiratory Medicine (110 citations) and Hematology (38 citations). Katja Schuster has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Pier Paolo Scaglioni, Adi F. Gazdar, Andrea Rabellino, John Michael DiMaio, Monica Spinola, James P. Sullivan, Jerry W. Shay, Ignacio Ivan Wistuba, Yang Jin Xie and Jill E. Larsen. Their work appears in journals such as Molecular Cancer Research, Cancer Research, Disease Models & Mechanisms, The FASEB Journal and Modern Pathology.
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.