Stefan Graw
Impact in
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- Epigenetics and DNA Methylation
- Glycosylation and Glycoproteins Research
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Gene expression and cancer classification
- Mitochondrial Function and Pathology
Papers in
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- Epigenetics and DNA Methylation 6
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
- Glycosylation and Glycoproteins Research 2
- Oncology 4
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Devin C. Koestler (11 shared papers)Stephanie D. Byrum (6 shared papers)Charity L. Washam (3 shared papers)Allen Gies (3 shared papers)Jordan T. Bird (3 shared papers)Michael S. Robeson (1 shared paper)Maroof K. Zafar (2 shared papers)Eric C. Peterson (2 shared papers)
- Journals
- Cancer Research (2 papers)BMC Bioinformatics (2 papers)Journal of Biological Chemistry (2 papers)Scientific Reports (2 papers)Cancer Prevention Research (1 paper)
- Partner nations
- United StatesGermanyCyprus
In The Last Decade
Stefan Graw
21 papers receiving 641 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 408
- Cancer Research 79
- Aging 7
- Immunology 67
- Biological Psychiatry 7
Countries citing papers authored by Stefan Graw
This map shows the geographic impact of Stefan Graw'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 Stefan Graw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Graw more than expected).
Fields of papers citing papers by Stefan Graw
This network shows the impact of papers produced by Stefan Graw. 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 Stefan Graw. The network helps show where Stefan Graw may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Graw, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2017 | 86 | |
| 3 | 2020 | 85 | |
| 4 | 2015 | 54 | |
| 5 | 2017 | 50 | |
| 6 | 2019 | 49 | |
| 7 | 2018 | 41 | |
| 8 | 2018 | 36 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2017 | 1 |
About Stefan Graw
Stefan Graw is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 650 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), Glycosylation and Glycoproteins Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (408 citations), Cancer Research (79 citations), Aging (7 citations), Immunology (67 citations) and Biological Psychiatry (7 citations). Stefan Graw has collaborated with scholars based in United States, Germany and Cyprus. Frequent co-authors include Devin C. Koestler, Stephanie D. Byrum, Charity L. Washam, Allen Gies, Jordan T. Bird, Michael S. Robeson, Maroof K. Zafar, Eric C. Peterson, Alicia K. Byrd and Jeffrey Thompson. Their work appears in journals such as Cancer Research, BMC Bioinformatics, Journal of Biological Chemistry, Scientific Reports and Cancer Prevention 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.